IJACSA Vol. 11 Issue 2 (2020)

1

A Review of Asset-Centric Threat Modelling Approaches

Author 1: Livinus Obiora Nweke Author 2: Stephen D. Wolthusen

The threat landscape is constantly evolving. As attackers continue to evolve and seek better methods of compro-mising a system; in the same way, defenders continue to evolve and seek better methods of protecting a system. Threats are events that could cause harm to the confidentiality, integrity, or availability of information… Read full abstract & cite →

Threat modelling asset-centric asset-centric threat modelling approaches

Abstract doi.org/10.14569/IJACSA.2020.0110201 PDF

2

Fast and Accurate Fish Detection Design with Improved YOLO-v3 Model and Transfer Learning

Author 1: Kazim Raza Author 2: Song Hong

Object Detection is one of the problematic Computer Vision (CV) problems with countless applications. We proposed a real-time object detection algorithm based on Improved You Only Look Once version 3 (YOLOv3) for detecting fish. The demand for monitoring the marine ecosystem is increasing day by day for a vigorous automated… Read full abstract & cite →

Deep learning computer vision transfer learning improved YOLOv3 anchor box custom dataset

Abstract doi.org/10.14569/IJACSA.2020.0110202 PDF

3

Drying Process Simulation Methodology based on Chemical Kinetics Laws

Author 1: Vladimir M. Arapov Author 2: Dmitriy A. Kazartsev Author 3: Igor A. Nikitin Author 4: Maria V. Babaeva Author 5: Svetlana V. Zhukovskaya Author 6: Svetlana N. Tefikova Author 7: Galina V. Posnova Author 8: Igor V. Zavalishin

It is shown that the existing approaches to drying process modeling, based on a system of interconnected differential equations of heat and mass transfer or on statistical processing of drying process experimental data, have significant drawbacks. It greatly complicates the development of computer means for controlling production processes. During modeling… Read full abstract & cite →

Modeling drying chemical kinetics activation energy

Abstract doi.org/10.14569/IJACSA.2020.0110203 PDF

4

Vision-based Indoor Localization Algorithm using Improved ResNet

Author 1: Zeyad Farisi Author 2: Tian Lianfang Author 3: Li Xiangyang Author 4: Zhu Bin

The output of the residual network fluctuates greatly with the change of the weight parameters, which greatly affects the performance of the residual network. For dealing with this problem, an improved residual network is proposed. Based on the classical residual network, batch normalization, adaptive -dropout random deactivation function and a… Read full abstract & cite →

Deep learning residual network loss function dropout indoor localization

Abstract doi.org/10.14569/IJACSA.2020.0110204 PDF

5

Predicting Book Sales Trend using Deep Learning Framework

Author 1: Tan Qin Feng Author 2: Murphy Choy Author 3: Ma Nang Laik

A deep learning framework like Generative Adversarial Network (GAN) has gained popularity in recent years for handling many different computer visions related problems. In this research, instead of focusing on generating the near-real images using GAN, the aim is to develop a comprehensive GAN framework for book sales ranks prediction… Read full abstract & cite →

Generative adversarial network deep learning framework book sales forecasting regression

Abstract doi.org/10.14569/IJACSA.2020.0110205 PDF

6

Sea Breeze Damage Estimation Method using Sentinel of Remote Sensing Satellite Data

Author 1: Kohei Arai

Sea breeze damage estimation method using Sentinel of remote sensing satellite data is proposed. There are two kinds of sea breeze damage. Namely, one is vegetation degradation due to sea salt from sea breeze and the other one is leaf lodging due to strong winds from sea breeze. Kyushu, Japan… Read full abstract & cite →

Sentinel disaster relief satellite remote sensing flooding oil spill synthetic aperture radar optical sensor vegetation index

Abstract doi.org/10.14569/IJACSA.2020.0110206 PDF

7

JEPPY: An Interactive Pedagogical Agent to Aid Novice Programmers in Correcting Syntax Errors

Author 1: Julieto E. Perez Author 2: Dante D. Dinawanao Author 3: Emily S. Tabanao

Programming is a complicated task and correcting syntax error is just one among the many tasks that makes it difficult. Error messages produced by the compiler allow novice learners to know their errors. However, these messages are puzzling, and most of the times misleading due to cascading of errors, which… Read full abstract & cite →

Pedagogical agent error quotient syntax-error correction compile errors human computer interaction

Abstract doi.org/10.14569/IJACSA.2020.0110207 PDF

8

Intelligent Haptic Virtual Simulation for Suture Surgery

Author 1: Mee Young Sung Author 2: Byeonghun Kang Author 3: Jungwook Kim Author 4: Taehoon Kim Author 5: Hyeonseok Song

The aim of this study is to develop an intelligent haptic virtual simulation for suture surgery, enabled with an AI assistant. This haptic VR suture simulation mainly composed of three parts: visuo-haptic rendering for surgery, replica training for surgery, and AI assistant for surgery. In the simulation, a trainee surgeon… Read full abstract & cite →

Haptic virtual simulation suture surgery artificial intelligence assistant

Abstract doi.org/10.14569/IJACSA.2020.0110208 PDF

9

A Microservices based Approach for City Traffic Simulation

Author 1: Toma Becea Author 2: Honoriu Valean

The paper proposes a city traffic software simula-tion based on actors which run independently of one another and have specific characters in their behavior. To run indepentently actors are modeled as microservices and they are running within an orchestration framework. Their behavior is modeled as with specific algorithms for each… Read full abstract & cite →

Traffic simulation microservices distributed com-putting

Abstract doi.org/10.14569/IJACSA.2020.0110209 PDF

10

Genres and Actors/Actresses as Interpolated Tags for Improving Movie Recommender Systems

Author 1: Nghia Duong-Trung Author 2: Quynh Nhut Nguyen Author 3: Dung Ngoc Le Ha Author 4: Xuan Son Ha Author 5: Tan Tai Phan Author 6: Hiep Xuan Huynh

Abstract—A movie recommender system has been proven to be a convincing implement on carrying out comprehensive and complicated recommendation which helps users find appropriate movies conveniently. It follows a mechanism that a user can be accurately recommended movies based on other similar interests, e.g. collaborative filtering, and the movies themselves… Read full abstract & cite →

Movielens movie recommender systems tag inter-polation colloborative filtering

Abstract doi.org/10.14569/IJACSA.2020.0110210 PDF

11

Document Length Variation in the Vector Space Clustering of News in Arabic: A Comparison of Methods

Author 1: Abdulfattah Omar Author 2: Wafya Ibrahim Hamouda

This article is concerned with addressing the effect of document length variation on measuring the semantic similarity in the text clustering of news in Arabic. Despite the development of different approaches for addressing the issue, there is no one strong conclusion recommending one approach. Furthermore, many of these have not… Read full abstract & cite →

Arabic document length news clustering semantic similarity TF-IDF VSC

Abstract doi.org/10.14569/IJACSA.2020.0110211 PDF

12

Impact of Information Technologies on HR Effectiveness: A Case of Azerbaijan

Author 1: Aida Guliyeva Author 2: Ulviyya Rzayeva Author 3: Aygun Abdulova

In the article, the impact of information technologies’ (IT) implementation into the work of human resource departments for increased effectiveness is explored. Modern relations at the enterprise require the most important network-based enterprise’s unit to be a strategic, flexible, cost-effective and service-oriented division of the organization. Although the influence of… Read full abstract & cite →

HR effectiveness recruitment needs maintenance and development tasks management and planning tasks performance of enterprises and banks human capital return on investment

Abstract doi.org/10.14569/IJACSA.2020.0110212 PDF

13

Discovering the Relationship between Heat-Stress Gene Expression and Gene SNPs Features using Rough Set Theory

Author 1: Heba Zaki Author 2: Mohammad Nassef Author 3: Amr Ahmed Badr Author 4: Ahmed Farouk Al-Sadek

Over the years of applying machine learning in bioinformatics, we have learned that scientists, working in many areas of life sciences, call for deeper knowledge of the modeled phenomenon than just the information used to classify the objects with a certain quality. As dynamic molecules of gene activities, transcriptome profiling… Read full abstract & cite →

RNA sequencing (RNA-seq) variant calling Single Nucleotide Polymorphisms (SNPs) analysis rough sets gene expression

Abstract doi.org/10.14569/IJACSA.2020.0110213 PDF

14

Feature Selection in Text Clustering Applications of Literary Texts: A Hybrid of Term Weighting Methods

Author 1: Abdulfattah Omar

The recent years have witnessed an increasing use of automated text clustering approaches and more particularly Vector Space Clustering (VSC) methods in the computational analysis of literary data including genre classification, theme analysis, stylometry, and authorship attribution. In spite of the effectiveness of VSC methods in resolving different problems in… Read full abstract & cite →

Feature selection frequency PCA term weight text clustering TF-IDF variance VSC

Abstract doi.org/10.14569/IJACSA.2020.0110214 PDF

15

Fast FPGA Prototyping based Real-Time Image and Video Processing with High-Level Synthesis

Author 1: Refka Ghodhbani Author 2: Layla Horrigue Author 3: Taoufik Saidani Author 4: Mohamed Atri

Programming in high abstraction level is known by its benefits. It can facilitate the development of digital image and video processing systems. Recently, high-level synthesis (HLS) has played a significant role in developing this field of study. Real time image and video Processing solution needing high throughput rate are often… Read full abstract & cite →

High-level synthesis FPGA fast prototyping real-time image processing video surveillance computer-aided design model-based design HDL coder FPGA

Abstract doi.org/10.14569/IJACSA.2020.0110215 PDF

16

Design and Analysis of an Arithmetic and Logic Unit using Single Electron Transistor

Author 1: Aarthy M Author 2: Sriadibhatla Sridevi

The demand for low power dissipation and increasing speed elicits numerous research efforts in the field of nano CMOS technology. The Arithmetic Logic Unit is the core of any central processing unit. In this paper, we designed a 4-bit Arithmetic and Logic Unit (ALU) using Single Electron Transistor (SET). Single-electron… Read full abstract & cite →

Single electron transistor reversible logic gates low power speed

Abstract doi.org/10.14569/IJACSA.2020.0110216 PDF

17

A Review and Development Methodology of a LightWeight Security Model for IoT-based Smart Devices

Author 1: Mathuri Gurunathan Author 2: Moamin A. Mahmoud

Internet of Things (IoT) turns into another time of the Internet, which contains connected smart objects over the Internet. IoT has numerous applications, for example, smart city, smart home, smart grid and healthcare. In common, the IoT system comprises of heterogeneous devices that deliver then trade endless sums of safety-critical… Read full abstract & cite →

Lightweight security mode IoT smart devices

Abstract doi.org/10.14569/IJACSA.2020.0110217 PDF

18

SentiFilter: A Personalized Filtering Model for Arabic Semi-Spam Content based on Sentimental and Behavioral Analysis

Author 1: Mashael M. Alsulami Author 2: Arwa Yousef AL-Aama

Unwanted content in online social network services is a substantial issue that is continuously growing and negatively affecting the user-browsing experience. Current practices do not provide personalized solutions that meet each individual’s needs and preferences. Therefore, there is a potential demand to provide each user with a personalized level of… Read full abstract & cite →

Personalization sentiment analysis behavioral analysis spam detection recommendation systems

Abstract doi.org/10.14569/IJACSA.2020.0110218 PDF

19

Conceptual Framework for Developing an ERP Module for Quality Management and Academic Accreditation at Higher Education Institutions: The Case of Saudi Arabia

Author 1: Mohammad Samir Abdel-Haq

As a result of the high priority given by universities in Saudi Arabia to the implementation of quality systems and achieve international and local academic accreditation, especially NCAAA, as well as, academic accreditation standards require the provision of a set of data, documents, reports and evidence distributed among the various… Read full abstract & cite →

Quality assurance academic accreditation framework ERP module

Abstract doi.org/10.14569/IJACSA.2020.0110219 PDF

20

IoT and Blockchain in the Development of Smart Cities

Author 1: Laith T. Khrais

With the advent and proliferation of the internet, the fourth industrial revolution is in full swing. As a result, different technologies have the potential to impact the course of human development. In other words, worldwide populations are moving towards growing urban centers and as a result, smart cities are emerging… Read full abstract & cite →

Internet of things blockchain technologies smart cities emerging markets electronic commerce

Abstract doi.org/10.14569/IJACSA.2020.0110220 PDF

21

Automatic Detection of Plant Disease and Insect Attack using EFFTA Algorithm

Author 1: Kapilya Gangadharan Author 2: G. Rosline Nesa Kumari Author 3: D. Dhanasekaran Author 4: K. Malathi

The diagnosis of plant disease by computer vision using digital image processing methodology is a key for timely intervention and treatment of healthy agricultural procedure and to increase the yield by natural means. Timely addressal of these ailments can be the difference between the prevention and perishing of an ecosystem… Read full abstract & cite →

Texture analysis features computer vision inter- class intra-class

Abstract doi.org/10.14569/IJACSA.2020.0110221 PDF

22

A Robust Deep Learning Model for Financial Distress Prediction

Author 1: Magdi El-Bannany Author 2: Meenu Sreedharan Author 3: Ahmed M. Khedr

This paper investigates the ability of deep learning networks on financial distress prediction. This study uses three different deep learning models, namely, Multi-layer Perceptron (MLP), Long Short-term Memory (LSTM) and Convolutional Neural Networks (CNN). In the first phase of the study, different Optimization techniques are applied to each model creating… Read full abstract & cite →

Financial distress prediction multi-layer perceptron long short-term memory convolutional neural network deep neural network optimized deep learning model

Abstract doi.org/10.14569/IJACSA.2020.0110222 PDF

23

Investigation of a 7-Level Inverter-based Electric Spring Subjected to Distribution Network Dynamics

Author 1: K. K. Deepika Author 2: G.Kesava Rao Author 3: J. Vijaya Kumar Author 4: Satya Ravi Sankar Rai

This paper aims to provide solution to mitigate the voltage variations in critical load caused by the high penetration of DGs into distribution system using Electric Springs (ES). In this regard, there is a need for its exploration with various converter circuits. The improvised topology opens new avenues in the… Read full abstract & cite →

Electric spring critical load multilevel inverter voltage balancing circuit voltage regulation

Abstract doi.org/10.14569/IJACSA.2020.0110223 PDF

24

On Exhaustive Evaluation of Eager Machine Learning Algorithms for Classification of Hindi Verses

Author 1: Prafulla B. Bafna Author 2: Jatinderkumar R. Saini

Implementing supervised machine learning on the Hindi corpus for classification and prediction of verses is an untouched and useful area. Classifying and predictions benefits many applications like organizing a large corpus, information retrieval and so on. The metalinguistic facility provided by websites makes Hindi as a major language in the… Read full abstract & cite →

Classification eager machine learning algorithm Hindi prediction

Abstract doi.org/10.14569/IJACSA.2020.0110224 PDF

25

Teachers’ Experiences in the Development of Digital Storytelling for Cyber Risk Awareness

Author 1: Fariza Khalid Author 2: Tewfiq El-Maliki

Although the Internet has positively impacted people's lives, it also has its dark side. There have been reports on the increase of cases of violence, racial abuse, cyber-bullying, online fraud, addiction to gaming and gambling, and pornography. A vital issue has emerged that Internet users still lack awareness of these… Read full abstract & cite →

Cybersecurity awareness education video digital storytelling media case study

Abstract doi.org/10.14569/IJACSA.2020.0110225 PDF

26

e-Participation Model for Kuwait e-Government

Author 1: Zainab M. Aljazzaf Author 2: Sharifa Ayad Al-Ali Author 3: Muhammad Sarfraz

Internet has an influence on every aspect of modern life. The increasing interest in e-government has led to increase in public expenditure on communication technologies. The technology provides and facilitates opportunities for citizens to interact with e-government, so called e-participation. In fact, it makes the citizens involvement higher in the… Read full abstract & cite →

e-Government e-participation e-participation factors e-participation model e-information e-consultation

Abstract doi.org/10.14569/IJACSA.2020.0110226 PDF

27

Dynamic Changes of Multiple Sclerosis Lesions on T2-FLAIR MRI using Digital Image Processing

Author 1: Marwan A. A. Hamid Author 2: Walid Al-haidri Author 3: Waseemullah Author 4: Najeed Ahmed Khan Author 5: Bilal Ahmed Usmani Author 6: Syed. M. Wasim Raza

Multiple Sclerosis (MS) is a complex autoimmune neurological disease affecting the myelin sheath of the nerve system. In the world, there are about 2.5 million patients with MS, in South and East Asia the ratio of MS is high. This disease affects young and middle-aged people. The MS is a… Read full abstract & cite →

Multiple sclerosis T2-FLAIR magnetic resonance imaging digital image processing image segmentation

Abstract doi.org/10.14569/IJACSA.2020.0110227 PDF

28

Scientific VS Non-Scientific Citation Annotational Complexity Analysis using Machine Learning Classifiers

Author 1: Hassan Raza Author 2: M. Faizan Author 3: Naeem Akhtar Author 4: Ayesha Abbas Author 5: Naveed-Ul-Hassan

This paper evaluates the citation sentences’ annotation complexity of both scientific as well as non-scientific text related articles to find out major complexity reasons by performing sentiment analysis of scientific and non-scientific domain articles using our own developed corpora of these domains separately. For this research, we selected different data… Read full abstract & cite →

Classification machine learning sentimental analysis scientific citations non- scientific citation

Abstract doi.org/10.14569/IJACSA.2020.0110228 PDF

29

Arabic Morphological Analysis Techniques

Author 1: Ameerah Alothman Author 2: AbdulMalik Alsalman

Recently, activity surrounding Arabic natural language processing has increased significantly. Morphological analysis is the basis of most tasks related to Arabic natural language processing. There are many scientific studies on Arabic morphological analysis, yet most of them lack an accurate classification of Arabic morphology and fail to cover both recent… Read full abstract & cite →

Arabic analyzer Arabic lexicon classification morphology morphological analysis natural language processing

Abstract doi.org/10.14569/IJACSA.2020.0110229 PDF

30

Using Social Network Analysis to Understand Public Discussions: The Case Study of #SaudiWomenCanDrive on Twitter

Author 1: Zubaida Jastania Author 2: Mohammad Ahtisham Aslam Author 3: Rabeeh Ayaz Abbasi Author 4: Kawther Saeedi

Social media analytics has experienced significant growth over the past few years due to the crucial importance of analyzing and measuring public social behavior on different social networking sites. Twitter is one of the most popular social networks and means of online news that allows users to express their views… Read full abstract & cite →

Social network analysis twitter public discussion network science

Abstract doi.org/10.14569/IJACSA.2020.0110230 PDF

31

Cross-Language Plagiarism Detection using Word Embedding and Inverse Document Frequency (IDF)

Author 1: Hanan Aljuaid

The purpose of cross-language textual similarity detection is to approximate the similarity of two textual units in different languages. This paper embeds the distributed representation of words in cross-language textual similarity detection using word embedding and IDF. The paper introduces a novel cross-language plagiarism detection approach constructed with the distributed… Read full abstract & cite →

NLP cross-language plagiarism detection word embedding similarity detection IDF

Abstract doi.org/10.14569/IJACSA.2020.0110231 PDF

32

A Study of LoRa Performance in Monitoring of Patient’s SPO2 and Heart Rate based IoT

Author 1: Puput Dani Prasetyo Adi Author 2: Akio Kitagawa

In this research, a sensor that will be equipped with blood oxygen saturation function (SPO2) blood and Heart Rate is MH-ET Live max30102 Sensor with Library Max30105. The advantage of this sensor is compatible with ATmega 328P, which is the Arduino board, the first experiment using Arduino Uno. Therefore, MH-ET… Read full abstract & cite →

Pulse heart rate adaptive data rate long range bitrate

Abstract doi.org/10.14569/IJACSA.2020.0110232 PDF

33

Comparison of Anomaly Detection Accuracy of Host-based Intrusion Detection Systems based on Different Machine Learning Algorithms

Author 1: Yukyung Shin Author 2: Kangseok Kim

Among the different host-based intrusion detection systems, an anomaly-based intrusion detection system detects attacks based on deviations from normal behavior; however, such a system has a low detection rate. Therefore, several studies have been conducted to increase the accurate detection rate of anomaly-based intrusion detection systems; recently, some of these… Read full abstract & cite →

Anomaly detection host based intrusion detection system system calls cyber security machine learning simulation

Abstract doi.org/10.14569/IJACSA.2020.0110233 PDF

34

A Smart Home System based on Internet of Things

Author 1: Rihab Fahd Al-Mutawa Author 2: Fathy Albouraey Eassa

The Internet of Things (IoT) describes a network infrastructure of identifiable things that share data through the Internet. A smart home is one of the applications for the Internet of Things. In a smart home, household appliances could be monitored and controlled remotely. This raises a demand for reliable security… Read full abstract & cite →

Internet of Things (IoT) smart home system architecture security management

Abstract doi.org/10.14569/IJACSA.2020.0110234 PDF

35

Integrated Fuzzy based Decision Support System for the Management of Human Disease

Author 1: Blessing Ekong Author 2: Idara Ifiok Author 3: Ifreke Udoeka Author 4: James Anamfiok

To eliminate some of the inaccuracies in the diagnosis of human diseases, decision support systems based on algorithms and technologies such as Artificial Neural Network, Fuzzy Logic etc. have been used. The results of such diagnosis are used for treatment and management purposes. Inaccurate and imprecise diagnosis may lead to… Read full abstract & cite →

Human diseases fuzzy based decision support system human disease fuzzy logic C#

Abstract doi.org/10.14569/IJACSA.2020.0110235 PDF

36

A Hybrid Intrusion Detection System for SDWSN using Random Forest (RF) Machine Learning Approach

Author 1: Indira K Author 2: Sakthi U

It is indeed an established fact which network security systems had certain technical problems that mostly tends to lead to security risks. Nowadays, Attackers could still continue to abuse the security vulnerabilities as well as shatter the systems and networks, and is quite pricey and even sometimes extremely difficult to… Read full abstract & cite →

SDWSN IDS Salp Swarm Optimization Random Forest Classifier

Abstract doi.org/10.14569/IJACSA.2020.0110236 PDF

37

The Internet of Things for Crowd Panic Detection

Author 1: Habib Ullah Author 2: Ahmed B. Altamimi Author 3: Rabie A. Ramadan

Crowd behavior detection is important for the smart cities applications such as people gathering for different events. However, it is a challenging problem due to the internal states of the crowd itself and the surrounding environment. This paper proposes a novel crowd behavior detection framework based on a number of… Read full abstract & cite →

VANET smart cities crowd behavior deep learning Recurrent Neural Networks (RNN) Convolution Neural Networks (CNN) Invariant Feature Transform (SIFT)

Abstract doi.org/10.14569/IJACSA.2020.0110237 PDF

38

Short Poem Generation (SPG): A Performance Evaluation of Hidden Markov Model based on Readability Index and Turing Test

Author 1: Ken Jon M. Tarnate Author 2: May M. Garcia Author 3: Priscilla Sotelo-Bator

We developed a Hidden Markov Model (HMM) that automatically generates short poem. The HMM was trained using the forward-backward algorithm also known as Baum Welch algorithm. The training process was exhausted by a hundreds of iterations through recursion method. Then we used the Viterbi algorithm to decode all the best… Read full abstract & cite →

Evaluation metrics Hidden Markov Model poetry generation readability test turing test

Abstract doi.org/10.14569/IJACSA.2020.0110238 PDF

39

A Novel Image Fusion Scheme using Wavelet Transform for Concealed Weapon Detection

Author 1: Hanan A. Hosni Mahmoud

The aim of this paper is to detect concealed weapons, especially in high security places like in airports, train stations and places with large crowds, where concealed weapons are not allowed. We aim to specify suspicious person who may have a concealed weapon. In this paper, an Image Fusion technique… Read full abstract & cite →

Concealed weapon detection image fusion pixel alignment wave sensors

Abstract doi.org/10.14569/IJACSA.2020.0110239 PDF

40

The Extent to which Individuals in Saudi Arabia are Subjected to Cyber-Attacks and Countermeasures

Author 1: Abdullah A H Alzahrani

In light of the rapid development of technology and the increase in the number of users of the Internet via computers and smart devices, cybercrimes impact on enterprises, organizations, governments and individuals has been significant. Researches and reports on the impact of cybercrime and methods of prevention and protection are… Read full abstract & cite →

Cybercrimes cybersecurity identity theft cyberattacks

Abstract doi.org/10.14569/IJACSA.2020.0110240 PDF

41

Towards Social Network Sites Acceptance in e-Learning System: Students Perspective at Palestine Technical University-Kadoorie

Author 1: Mohannad Moufeed Ayyash Author 2: Fadi A.T. Herzallah Author 3: Waleed Ahmad

This study aims to examine social network sites acceptance in an e-Learning system and to propose a model encompassing determining factors that affect students’ intentions to use social network sites in the e-Learning system. The proposed model was built based on the Technology Acceptance Model (TAM), perceived enjoyment, social influences… Read full abstract & cite →

Social network sites e-Learning system perceived usefulness perceived ease of use perceived enjoyment social influence perceived information security Palestine

Abstract doi.org/10.14569/IJACSA.2020.0110241 PDF

42

Managing an External Depot in a Production Routing Problem

Author 1: Bi Kouaï Bertin Kayé Author 2: Moustapha Diaby Author 3: Tchimou N’Takpé Author 4: Souleymane Oumtanaga

This paper addresses a production and distribution problem in a supply chain. The supply chain consists of a plant with no storage capacity that produces only one type of product. The manufactured products are then transported to a depot for storage. Customers demand is met by a homogeneous fleet of… Read full abstract & cite →

Production inventory distribution transport branch-and-cut decomposition heuristic MIP genetic algorithm

Abstract doi.org/10.14569/IJACSA.2020.0110242 PDF

43

Machine Learning based Access Control Framework for the Internet of Things

Author 1: Aissam Outchakoucht Author 2: Anas Abou El Kalam Author 3: Hamza Es-Samaali Author 4: Siham Benhadou

The main challenge facing the Internet of Things (IoT) in general, and IoT security in particular, is that humans have never handled such a huge amount of nodes and quantity of data. Fortunately, it turns out that Machine Learning (ML) systems are very effective in the presence of these two… Read full abstract & cite →

Access control internet of things machine learning security smart city

Abstract doi.org/10.14569/IJACSA.2020.0110243 PDF

44

Enhancing the Bitrate and Power Spectral Density of PPM TH-IR UWB Signals using a Sub-Slot Technique

Author 1: Bashar Al-haj Moh’d Author 2: Nidal Qasem

Increasing the receiver’s bitrate and suppressing the spectral line are issues of major interest in the design of compliant Time-Hopping Impulse Radio (TH-IR) Ultra-Wide Band (UWB) systems. Suppression of spectral lines has been commonly addressed by randomizing the position of each pulse to make the period as large as possible… Read full abstract & cite →

Bitrate FFT PPM PSD spectral estimation sub-slot TH-IR UWB

Abstract doi.org/10.14569/IJACSA.2020.0110244 PDF

45

Three-Dimensional Shape Reconstruction from a Single Image by Deep Learning

Author 1: Kentaro Sakai Author 2: Yoshiaki Yasumura

Reconstructing a three-dimensional (3D) shape from a single image is one of the main topics in the field of computer vision. Some of the methods for 3D reconstruction adopt machine learning. These methods use machine learning for acquiring the relationship between 3D shape and 2D image, and reconstruct 3D shapes… Read full abstract & cite →

Computer vision 3D reconstruction deep learning convolutional neural network feature learning normal vector

Abstract doi.org/10.14569/IJACSA.2020.0110245 PDF

46

An Attribution of Cyberattack using Association Rule Mining (ARM)

Author 1: Md Sahrom Abu Author 2: Siti Rahayu Selamat Author 3: Robiah Yusof Author 4: Aswami Ariffin

With the rapid development of computer networks and information technology, an attacker has taken advantage to manipulate the situation to launch a complicated cyberattack. This complicated cyberattack causes a lot of problems among the organization because it requires an effective cyberattack attribution to mitigate and reduce the infection rate. Cyber… Read full abstract & cite →

CTI association rule mining Apriori Algorithm attribution interestingness measures

Abstract doi.org/10.14569/IJACSA.2020.0110246 PDF

47

Extending Tangible Interactive Interfaces for Education: A System for Learning Arabic Braille using an Interactive Braille Keypad

Author 1: Hind Taleb Bintaleb Author 2: Duaa Al Saeed

Learning Braille for visual impairments means being able to read, write and communicate with others. There exist several educational tools for learning Braille. Unfortunately, for Arabic Braille, there is a lack of interactive educational tools and what is mostly used is the traditional learning tools, such as the Braille block… Read full abstract & cite →

Braille tangible interface e-learning Arduino accessibility usability visually impaired blind

Abstract doi.org/10.14569/IJACSA.2020.0110247 PDF

48

Very High-Performance Echo Canceller for Digital Terrestrial Television in Single Frequency Network

Author 1: El Miloud Ar-Reyouchi Author 2: Yousra Lamrani Author 3: Kamal Ghoumid Author 4: Salma Rattal

The principal aim of this paper is to cancel out the natural and man-made echoes in single-frequency networks (SFN). The challenge is to detect and remove feedback echoes and enhance the intelligibility of the essential parameters in SFN of digital terrestrial television broadcasting (DTTB) transmitter systems, especially the Modulation Error… Read full abstract & cite →

Gap filler Digital Adaptive Equalizer (DAE) Doppler Enhanced Echo Canceller (DEEC) Single-Frequency Networks (SFN) Coded Orthogonal Frequency Division Multiplex (COFDM)

Abstract doi.org/10.14569/IJACSA.2020.0110248 PDF

49

Assessing Advanced Machine Learning Techniques for Predicting Hospital Readmission

Author 1: Samah Alajmani Author 2: Kamal Jambi

Predicting the probability of hospital readmission is one of the most important healthcare problems for satisfactory, high-quality service in chronic diseases such as diabetes, in order to identify needful resources such as rooms, medical staff, beds, and specialists. Unfortunately, not many studies in the literature address this issue. Most studies… Read full abstract & cite →

Boosting random forest linear discriminant analysis k-nearest neighbor machine learning hospital readmission predictive analytics

Abstract doi.org/10.14569/IJACSA.2020.0110249 PDF

50

3D Trilateration Localization using RSSI in Indoor Environment

Author 1: Nur Diana Rohmat Rose Author 2: Low Tan Jung Author 3: Muneer Ahmad

Received Signal Strength Indicator (RSSI) is one of the most popular technique for outdoor and indoor localization. There are many previous researches on RSSI-based indoor localization systems. However, most of them lack a solid classification method that reduce localization errors with better accuracy. This paper will focus on indoor localization… Read full abstract & cite →

RSSI RFID Indoor Positioning System (IPS) trilateration 3D localization

Abstract doi.org/10.14569/IJACSA.2020.0110250 PDF

51

Cloud based Power Failure Sensing and Management Model for the Electricity Grid in Developing Countries: A Case of Zambia

Author 1: Janet Nanyangwe Sinkala Author 2: Jackson Phiri

In most developing countries, huge parts of the electric power grid are not monitored making it difficult for the service provider to determine when there is a power failure in the electric grid, especially if the power failure occurs in the Low Voltage level. Clients usually have to call and… Read full abstract & cite →

Cloud architecture power failure sensing low voltage network electric grid

Abstract doi.org/10.14569/IJACSA.2020.0110251 PDF

52

JobChain: An Integrated Blockchain Model for Managing Job Recruitment for Ministries in Sultanate of Oman

Author 1: Vinu Sherimon Author 2: Sherimon P.C Author 3: Alaa Ismaeel

Industries around the world has revolutionized with the arrival of blockchain technology. Blockchain applications and use cases are in the process of development in different domains. This research presents a blockchain platform “JobChain” to manage the job recruitments. The case study is conducted for the job recruitments in various Ministries… Read full abstract & cite →

Blockchain permissioned chaincode hyperledger composer playground job recruitment

Abstract doi.org/10.14569/IJACSA.2020.0110252 PDF

53

Automated Machine Learning Tool: The First Stop for Data Science and Statistical Model Building

Author 1: DeepaRani Gopagoni Author 2: P V Lakshmi

Machine learning techniques are designed to derive knowledge out of existing data. Increased computational power, use of natural language processing, image processing methods made easy creation of rich data. Good domain knowledge is required to build useful models. Uncertainty remains around choosing the right sample data, variables reduction and selection… Read full abstract & cite →

Automated machine learning regression models support vector machines QSAR QSPR artificial neural networks k-means clustering R program shiny web app drug design market analysis supervised learning Naive Bayes classification

Abstract doi.org/10.14569/IJACSA.2020.0110253 PDF

54

Towards a Powerful Solution for Data Accuracy Assessment in the Big Data Context

Author 1: Mohamed TALHA Author 2: Nabil ELMARZOUQI Author 3: Anas ABOU EL KALAM

Data Accuracy is one of the main dimensions of Data Quality; it measures the degree to which data are correct. Knowing the accuracy of an organization's data reflects the level of reliability it can assign to them in decision-making processes. Measuring data accuracy in Big Data environment is a process… Read full abstract & cite →

Big data data quality data accuracy assessment big data sampling schema matching record linkage similarity measurement

Abstract doi.org/10.14569/IJACSA.2020.0110254 PDF

55

Semantic Architecture for Modelling and Reasoning IoT Data Resources based on SPARK

Author 1: Ahmed Salama Author 2: Masoud E. Shaheen Author 3: Haytham Al-Feel

Electronic Internet-of-Things is one of the foremost valuable techniques today. Through it, everything everywhere the globe became connected and intelligent, eliminating the wants to human-to-human interaction to perform tasks. This by changing all of those objects like humans, machines, devices and something around to be simply an internet Protocol (IP)… Read full abstract & cite →

Big Data Internet of Things Semantic Modelling Semantic_Reasonin Semantic_Rules Sensors Apache SPARK SPARK_SQL

Abstract doi.org/10.14569/IJACSA.2020.0110255 PDF

56

Performance Evaluation LoRa-GPRS Integrated Electricity usage Monitoring System for Decentralized Mini-Grids

Author 1: Shaban Omary Author 2: Anael Sam

The emerging Internet of Things (IoT) technologies such as Long-Range (LoRa), combined with traditional cellular communications technologies such as General Packet Radio Service (GPRS) offers decentralized mini-grid companies the opportunity to have cost-effective monitoring systems for the mini-grid resources. Nevertheless, most of the existing decentralized mini-grid companies still rely on… Read full abstract & cite →

Internet of Things LoRa GPRS decentralized mini-grid systems electricity usage monitoring

Abstract doi.org/10.14569/IJACSA.2020.0110256 PDF

57

An Intellectual Detection System for Intrusions based on Collaborative Machine Learning

Author 1: Dhikhi T Author 2: M.S. Saravanan

The necessity for safety of information in a network has inflated due to the impressive growth of web applications. Several methods of intrusion detection are used to detect irregularities which depend on precision, detection frequency, other parameters and are anticipated to familiarize to vigorously varying risk scenes. To accomplish consistent… Read full abstract & cite →

Intrusion detection machine learning deep learning convolutional autoencoder softmax classifier NSL-KDD dataset

Abstract doi.org/10.14569/IJACSA.2020.0110257 PDF

58

Dataset Augmentation for Machine Learning Applications of Dental Radiography

Author 1: Shahid Khan Author 2: Altaf Mukati

The performance of any machine learning algorithm heavily depends on the quality and quantity of the training data. Machine learning algorithms, driven by training data can accurately predict and produce the right outcome when trained through enough amount of quality data. In the medical applications, being more critical, the accuracy… Read full abstract & cite →

Data augmentation Cone-Beam Computed Tomography dental X-Rays panoramic dataset classification deep convolutional neural network benchmark

Abstract doi.org/10.14569/IJACSA.2020.0110258 PDF

59

An Optimal Prediction Model’s Credit Risk: The Implementation of the Backward Elimination and Forward Regression Method

Author 1: Sara HALOUI Author 2: Abdeslam El MOUDDEN

The purpose of this paper is to verify whether there is a relationship between credit risk, main threat to the banks, and the demographic, marital, cultural and socio-economic characteristics of a sample of 40 credit applicants, by using the optimal backward elimination model and the forward regression method. Following the… Read full abstract & cite →

Credit risk prediction optimal model backward elimination statistical modeling

Abstract doi.org/10.14569/IJACSA.2020.0110259 PDF

60

Digital Twins Development Architectures and Deployment Technologies: Moroccan use Case

Author 1: Mezzour Ghita Author 2: Benhadou Siham Author 3: Medromi Hicham

With the initiation of the fourth industrial revolution and the advent of information and communication technologies that reinforces the development of advanced technological solutions which engage data sciences, artificial intelligence, and cyber physical systems many long-established research concepts have been revived with in-depth applications within manufacturing plants. Thus currently the… Read full abstract & cite →

Digital twins industry 4.0 digital twins challenges and opportunities Moroccan industrial context

Abstract doi.org/10.14569/IJACSA.2020.0110260 PDF

61

An Ontology-Driven IoT based Healthcare Formalism

Author 1: Salwa Muhammad Akhtar Author 2: Makia Nazir Author 3: Kiran Saleem Author 4: Hafiz Mahfooz Ul Haque Author 5: Ibrar Hussain

The recent developments in the Internet of Things (IoT) paradigms have significantly influenced human life, which made their lives much more comfortable, secure and relaxed. With the remarkable upsurge of the smart systems and applications, people are becoming addicted to using these devices and having many dependencies on them. With… Read full abstract & cite →

Internet of Things BDI reasoning agents ontology smart healthcare

Abstract doi.org/10.14569/IJACSA.2020.0110261 PDF

62

Ransomware Behavior Attack Construction via Graph Theory Approach

Author 1: Muhammad Safwan Rosli Author 2: Raihana Syahirah Abdullah Author 3: Warusia Yassin Author 4: Faizal M.A Author 5: Wan Nur Fatihah Wan Mohd Zaki

Ransomware has becoming a current trend of cyberattack where its reputation among malware that cause a massive amount recovery in terms of cost and time for ransomware victims. Previous studies and solutions have showed that when it comes to malware detection, malware behavior need to be prioritized and analyzed in… Read full abstract & cite →

Ransomware behavior analysis graph theory file activity system Neo4j

Abstract doi.org/10.14569/IJACSA.2020.0110262 PDF

63

A Framework for Producing Effective and Efficient Secure Code through Malware Analysis

Author 1: Abhishek Kumar Pandey Author 2: Ashutosh Tripathi Author 3: Mamdouh Alenezi Author 4: Alka Agrawal Author 5: Rajeev Kumar Author 6: Raees Ahmad Khan

Malware attacks are creating huge inconveniences for organizations and security experts. Due to insecure web applications, small businesses and personal systems are the most vulnerable targets of malware attacks. In the wake of this burgeoning cyber security breach, this article propositions a framework for a complete malware analysis process including… Read full abstract & cite →

Malware analysis reuse code framework static analysis dynamic analysis reverse engineering manual analysis

Abstract doi.org/10.14569/IJACSA.2020.0110263 PDF

64

Person Re-Identification System at Semantic Level based on Pedestrian Attributes Ontology

Author 1: Ngoc Q. Ly Author 2: Hieu N. M. Cao Author 3: Thi T. Nguyen

Person Re-Identification (Re-ID) is a very important task in video surveillance systems such as tracking people, finding people in public places, or analysing customer behavior in supermarkets. Although there have been many works to solve this problem, there are still remaining challenges such as large-scale datasets, imbalanced data, viewpoint, fine-grained… Read full abstract & cite →

Person Re-Identification (Re-ID) Pedestrian Attributes Ontology (PAO) Deep Convolution Neuron Network (DCNN) Multi-task Deep Convolution Neuron Network (MDCNN) Local Multi-task Deep Convolution Neuron Network (Local MDCNN) Imbalanced Data Solver (IDS

Abstract doi.org/10.14569/IJACSA.2020.0110264 PDF

65

Geo Security using GPT Cryptosystem

Author 1: Eraj Khan Author 2: Abbas Khalid Author 3: Arshad Ali Author 4: Muhammad Atif Author 5: Ahmad Salman Khan

This paper describes an implementation of location-based encryption using a public key cryptosystem based on the rank error correcting codes. In any code based cryptosystem, public and private keys are in the form of matrices based over the finite field. This work proposes an algorithm for calculating public and private… Read full abstract & cite →

Location based security code based cryptosystem cipher-text GPT

Abstract doi.org/10.14569/IJACSA.2020.0110265 PDF

66

Localization of Mobile Submerged Sensors using Lambert-W Function and Cayley-Menger Determinant

Author 1: Anirban Paul Author 2: Miad Islam Author 3: Md. Ferdousur Rahman Author 4: Anisur Rahman

This paper demonstrates a new mechanism to localize mobile submerged sensors using only a single beacon node. In range-based localization, fast and accurate distance measurement is vital in underwater wireless sensor networks (UWSN). The knowledge of exact coordinates of the sensors is as important as the actuated data in underwater… Read full abstract & cite →

Lambert-W function Cayley-Menger determinant submerged mobile sensor single beacon localization

Abstract doi.org/10.14569/IJACSA.2020.0110266 PDF

67

A Proposed Method to Solve Cold Start Problem using Fuzzy user-based Clustering

Author 1: Syed Badar Ud Duja Author 2: Baoning Niu Author 3: Bilal Ahmed Author 4: M. Umar Farooq Alvi Author 5: Muhammad Amjad Author 6: Usman Ali Author 7: Zia Ur Rehman Author 8: Waqar Hussain

With the elevation of the online accessibility to almost everything, many logics, systems and algorithms have to be revised to match the pace of the trends among the socialized networks. One such system; recommendation system has become very important as far as the socialized networks are concerned . In such… Read full abstract & cite →

Recommender system collaborating filtering cold start problem clustering user based clustering

Abstract doi.org/10.14569/IJACSA.2020.0110267 PDF

68

Significance of Electronic Word of Mouth (e-WOM) in Opinion Formation

Author 1: Javaria Khalid Author 2: Aneela Abbas Author 3: Rida Akbar Author 4: Muhammad Qasim Mahmood Author 5: Rafia Author 6: Arslan Tariq Author 7: Madiha Khatoon Author 8: Ayesha Akbar Author 9: Samreen Azhar Author 10: Asra Meer Author 11: Muhammad Junaid Ud Din

In the realm of interconnected digital world, social ranking systems are readily used in different sections of society, for several reasons. The private and public sectors both are making use of social ranking systems as a tool to engineer human behavior, and crafting a digitally stimulated social control. Online reviews… Read full abstract & cite →

Component E-WOM (Electronic word of mouth) opinion formation positive reviews negative reviews

Abstract doi.org/10.14569/IJACSA.2020.0110268 PDF

69

Design and Development of Autonomous Pesticide Sprayer Robot for Fertigation Farm

Author 1: A. M. Kassim Author 2: M. F. N. M. Termezai Author 3: A. K. R. A. Jaya Author 4: A. H. Azahar Author 5: S Sivarao Author 6: F. A. Jafar Author 7: H.I Jaafar Author 8: M. S. M. Aras

The management of pest insects is the critical component of agricultural production especially in the fertigation based farm. Although the fertigation farm in Malaysia has advantages in the fertilization and irrigation management system, it still lacking with the pest management system. Since almost the insect and pests are living under… Read full abstract & cite →

Pesticide spryer autonomous robot fertigation farm under crop leaves

Abstract doi.org/10.14569/IJACSA.2020.0110269 PDF

70

Task Sensitivity in Continuous Electroencephalogram Person Authentication

Author 1: Rui-Zhen Wong Author 2: Yun-Huoy Choo Author 3: Azah Kamilah Muda

This research investigates on the task sensitivity in multimodal stimulation task for continuous person authentication using the electroencephalogram (EEG) signals. Pattern analysis aims to train from historical examples for prediction on the unseen data. However, data trials in EEG stimulation consists of inseparable cognitive information that is difficult to ensure… Read full abstract & cite →

Electroencephalogram continuous authentication task sensitivity multimodal stimuli Mahalanobis distance

Abstract doi.org/10.14569/IJACSA.2020.0110270 PDF

71

Exploiting White Spaces for Karachi through Artificial Intelligence: Comparison of NARX and Cascade Feed Forward Back Propagation

Author 1: Shabbar Naqvi Author 2: Minaal Ali Author 3: Aamir Zeb Shaikh Author 4: Yamna Iqbal Author 5: Abdul Rahim Author 6: Saima Khadim Author 7: Talat Altaf

Marriage of Internet of Everything (IoE) and Cognitive Radio driven technologies seems near under the umbrella of 6G and 6G+ communication standard. The expected new services that will be introduced in 6G communication will require high data rates for transmission. The learning based algorithms will play a key role towards… Read full abstract & cite →

6G cognitive radio NARX cascaded feed forward neural network learning

Abstract doi.org/10.14569/IJACSA.2020.0110271 PDF

72

Comparative Study of Truncating and Statistical Stemming Algorithms

Author 1: Sanaullah Memon Author 2: Ghulam Ali Mallah Author 3: K.N.Memon Author 4: AG Shaikh Author 5: Sunny K.Aasoori Author 6: Faheem Ul Hussain Dehraj

Search and indexing systems bear a significant quality called word stemming, is lump of content excavating requests, IR frameworks and natural language handling frameworks. The fundamental topic in the search and indexing through time is to upgrade infer via robotized diminishing and fussing of the words into word roots. From… Read full abstract & cite →

Stemming truncating statistical NLP IR Lovins Porters Paice/Husk Dawson N-gram HMM YASS

Abstract doi.org/10.14569/IJACSA.2020.0110272 PDF

73

Testing different Channel Estimation Techniques in Real-Time Software Defined Radio Environment

Author 1: Ponnaluru Sowjanya Author 2: Penke Satyanarayana

In modern wireless communication to maximize spectral efficiency and to minimize the bit error rate OFDM (Orthogonal frequency-domain multiplexing) is used. OFDM is used broadly in networks using various protocols, including wireless vehicular environment IEEE 802.11p, IEEE 802.16d/e Wireless Metropolitan Area Networks, Long-Term Evolution 3GPP networks and IEEE 802.11a/g/n Wireless… Read full abstract & cite →

Channel Estimation GNU Radio Companion (GRC) Orthogonal frequency-domain multiplexing (OFDM) software-defined radio (SDR) Spectral Temporal Averaging (STA) Universal Software Radio Peripheral (USRP)

Abstract doi.org/10.14569/IJACSA.2020.0110273 PDF

74

Measures of Organizational Training in the Capability Maturity Model Integration (CMMI)

Author 1: Mahmoud Khraiwesh

Training has a major impact on organizational commitment. Organizational objectives can be met by executing several training strategies and programs to enhance training. Organizational training aimed at developing employees’ knowledge and skills. It shall enable employees to carry out their duties efficiently and effectively. Two goals and seven practices of… Read full abstract & cite →

Organizational training training measures CMMI GQM

Abstract doi.org/10.14569/IJACSA.2020.0110274 PDF

75

Adaptive Sequential Constructive Crossover Operator in a Genetic Algorithm for Solving the Traveling Salesman Problem

Author 1: Zakir Hussain Ahmed

Genetic algorithms are widely used metaheuristic algorithms to solve combinatorial optimization problems that are constructed on the survival of the fittest theory. They obtain near optimal solution in a reasonable computational time, but do not guarantee the optimality of the solution. They start with random initial population of chromosomes, and… Read full abstract & cite →

Genetic algorithm adaptive sequential constructive crossover traveling salesman problem NP-hard

Abstract doi.org/10.14569/IJACSA.2020.0110275 PDF

76

Performance Evaluation of Deep Autoencoder Network for Speech Emotion Recognition

Author 1: Maria AndleebSiddiqui Author 2: Wajahat Hussain Author 3: Syed Abbas Ali Author 4: Danish-ur-Rehman

The learning methods with multiple levels of representation is called deep learning methods. The composition of simple but now linear modules results in deep-learning model. Deep-learning in near future will have many more success, because it requires very little engineering in hands and it can easily take ample amount of… Read full abstract & cite →

Auto-encoder emotions DNN classification accuracy autism

Abstract doi.org/10.14569/IJACSA.2020.0110276 PDF

77

Evaluating the Impact of GINI Index and Information Gain on Classification using Decision Tree Classifier Algorithm*

Author 1: Suryakanthi Tangirala

Decision tree is a supervised machine learning algorithm suitable for solving classification and regression problems. Decision trees are recursively built by applying split conditions at each node that divides the training records into subsets with output variable of same class. The process starts from the root node of the decision… Read full abstract & cite →

Supervised learning classification decision tree information gain GINI index

Abstract doi.org/10.14569/IJACSA.2020.0110277 PDF

78

A Review of Data Gathering Algorithms for Real-Time Processing in Internet of Things Environment

Author 1: Atheer A. Kadhim Author 2: Norfaradilla Wahid

Today, Wireless Sensor Network (WSN) has become an enabler technology for the Internet of Things (IoT) applications. The emergence of various applications has then enabled the need for robust and efficient data collection and transfer algorithms. This paper presents a comprehensive review for the existing data gathering algorithms and the… Read full abstract & cite →

Internet of Things (IoT) Wireless Sensor Network (WSN) and Data Gathering Virtual Machine (VM) Virtualization Cloud (VC) Data Reduction (DR) Access point (AP) Mobile Ad hoc Network (MANET)

Abstract doi.org/10.14569/IJACSA.2020.0110278 PDF

79

An Investigation of a Convolution Neural Network Architecture for Detecting Distracted Pedestrians

Author 1: Igor Grishchenko Author 2: El Sayed Mahmoud

The risk of pedestrian accidents has increased due to the distracted walking increase. The research in the autonomous vehicles industry aims to minimize this risk by enhancing the route planning to produce safer routes. Detecting distracted pedestrians plays a significant role in identifying safer routes and hence decreases pedestrian accident… Read full abstract & cite →

Convolutional neural networks computer vision cognitive load distractive behavior

Abstract doi.org/10.14569/IJACSA.2020.0110279 PDF

80

Performance Tuning of Spade Card Antenna using Mean Average Loss of Backpropagation Neural Network

Author 1: Irfan Mujahidin Author 2: Dwi Arman Prasetya Author 3: Nachrowie Author 4: Samuel Aji Sena Author 5: Putri Surya Arinda

The microstrip antennas have different dimensions to get the desired performance, especially for microstrip antennas that have complex components and dimensions with the performance: the range of frequency at 2.4 GHz until 3.6 GHz, Maximum Power of Gain value is 5.83 dB and the minimum value is 3 dB and… Read full abstract & cite →

Spade card antenna mean average loss neural network performance tuning antenna

Abstract doi.org/10.14569/IJACSA.2020.0110280 PDF

81

A Review of Vision and Challenges of 6G Technology

Author 1: Faiza Nawaz Author 2: Jawwad Ibrahim Author 3: Muhammad Awais Ali Author 4: Maida Junaid Author 5: Sabila Kousar Author 6: Tamseela Parveen

With the accelerated evolution of smart terminals and rising fresh applications, wireless information traffic has sharply enhanced and underway cellular networks (even 5G) can’t entirely compete the rapidly emerging technical necessities. A fresh framework of wireless communication, the sixth era (6G) framework, by floating aid of artificial intelligence is anticipated… Read full abstract & cite →

Wireless communication visions 6G cellular network generations digital technology satellite networks cell less architecture

Abstract doi.org/10.14569/IJACSA.2020.0110281 PDF

82

Towards a Dynamic Scalable IoT Computing Platform Architecture

Author 1: Desoky Abdelqawy Author 2: Amr Kamel Author 3: Soha Makady

Internet of Things (IoT) has become an interesting topic among technology titans and different business groups. IoT platforms have been introduced to support the development of IoT applications and services. Such platforms connect the real and virtual worlds of objects, systems and people. Even though IoT platforms increasingly target various… Read full abstract & cite →

Interent of Things (IoT) IoT platforms IoT archi-tecture edge computing

Abstract doi.org/10.14569/IJACSA.2020.0110282 PDF

83

KWA: A New Method of Calculation and Representation Accuracy for Speech Keyword Spotting in String Results

Author 1: Nguyen Tuan Anh Author 2: Hoang Thi Kim Dung

This study proposes a new method to measure and represent accuracy for Keyword Spotting (KWS) problem in non-aligned string results. Our approach, called Keyword Spotting Accuracy (KWA), was improved from the Levenshtein Distance algorithm, that used to evaluate the accuracy of the keywords in KWS by measuring the minimum distance… Read full abstract & cite →

Speech Keyword Spotting KWS keyword accuracy Keyword Spotting Accuracy (KWA) speech recognition

Abstract doi.org/10.14569/IJACSA.2020.0110283 PDF

84

A Visual Analytics System for Route Planning and Emergency Crowd Evacuation

Author 1: Saleh Basalamah

Emergency evacuation from crowded public spaces is of great importance to all authorities around the world. Many systems have been developed by researchers to address the optimization of emergency evacuation routing and planning. This paper presents a visual analytics system for route planning and emergency crowd evacuation; a web-based visualization… Read full abstract & cite →

Emergency evacuation crowd management visual-ization intelligent systems

Abstract doi.org/10.14569/IJACSA.2020.0110284 PDF

85

Detecting Video Surveillance Using VGG19 Convolutional Neural Networks

Author 1: Umair Muneer Butt Author 2: Sukumar Letchmunan Author 3: Fadratul Hafinaz Hassan Author 4: Sultan Zia Author 5: Anees Baqir

The meteoric growth of data over the internet from the last few years has created a challenge of mining and extracting useful patterns from a large dataset. In recent years, the growth of digital libraries and video databases makes it more challenging and important to extract useful information from raw… Read full abstract & cite →

Anomalous detection surveillance video VGG16 VGG19 ConvoNet AlexNet

Abstract doi.org/10.14569/IJACSA.2020.0110285 PDF

86

Understanding Attribute-based Access Control for Modelling and Analysing Healthcare Professionals’ Security Practices

Author 1: Livinus Obiora Nweke Author 2: Prosper Yeng Author 3: Stephen D. Wolthusen Author 4: Bian Yang

In recent years, there has been an increase in the application of attribute-based access control (ABAC) in electronic health (e-health) systems. E-health systems are used to store a patient’s electronic version of medical records. These records are usually classified according to their usage i.e., electronic health record (EHR) and personal… Read full abstract & cite →

Attribute-Based Access Control (ABAC) e-health systems Personal Health Record (PHR) Electronic Health Record (EHR)

Abstract doi.org/10.14569/IJACSA.2020.0110286 PDF

87

Beyond the Horizon: A Meticulous Analysis of Clinical Decision-Making Practices

Author 1: Bilal Saeed Raja Author 2: Sohail Asghar

Clinical advancements are one of the major out-comes of the technological phase shift of data sciences. The signif-icance of information technology in medical sciences by utilizing the Clinical Decision Support System (CDSS) has opened the spillways of exponentially improved predictive models. Utilizing the latest norms of classification algorithms on clinical… Read full abstract & cite →

Decision support system clinical decision support classification clustering association rule mining multi-objective evolutionary optimization

Abstract doi.org/10.14569/IJACSA.2020.0110287 PDF

88

Missing Data Prediction using Correlation Genetic Algorithm and SVM Approach

Author 1: Aysh Alhroob Author 2: Wael Alzyadat Author 3: Ikhlas Almukahel Author 4: Hassan Altarawneh

Data exists in large volume in the modern world, it becomes very useful when decoded correctly to inform decision making towards tackling real word issues. However, when the data is conflicting, it becomes a daunting task to get obtain information. Working on missing data has become a very impor-tant task… Read full abstract & cite →

Missing data Support Vector Machine (SVM) ge-netic algorithm hybrid algorithm correlation

Abstract doi.org/10.14569/IJACSA.2020.0110288 PDF

89

Ranking System for Ordinal Longevity Risk Factors using Proportional-Odds Logistic Regression

Author 1: Nur Haidar Hanafi Author 2: Puteri Nor Ellyza Nohuddin

Longevity improvements have traditionally been analysed and extrapolated for future actuarial projections of longevity risk by using a range of statistical methods with different combinations of statistical data types. These meth-ods have shown great performances in explaining the trend movements of the longevity rate. However, actuaries believe that knowing the… Read full abstract & cite →

Longevity risk ordinal risk factors risk ranking proportional-odds ratios effect analysis

Abstract doi.org/10.14569/IJACSA.2020.0110289 PDF

90

Lexical Variation and Sentiment Analysis of Roman Urdu Sentences with Deep Neural Networks

Author 1: Muhammad Arslan Manzoor Author 2: Saqib Mamoon Author 3: Song Kei Tao Author 4: Ali Zakir Author 5: Muhammad Adil Author 6: Jianfeng Lu

Sentiment analysis is the computational study of re-views, emotions, and sentiments expressed in the text. In the past several years, sentimental analysis has attracted many concerns from industry and academia. Deep neural networks have achieved significant results in sentiment analysis. Current methods mainly focus on the English language, but for… Read full abstract & cite →

Sentiment analysis Self-Attention Bidirectional LSTM (SA-BiLSTM) Roman Urdu language review classification

Abstract doi.org/10.14569/IJACSA.2020.0110290 PDF

91

Knowledge based Authentication Techniques and Challenges

Author 1: Hosam Alhakami Author 2: ShouqAlhrbi

Knowledge-based Authentication (KBA) is an au-thentication approach, which verifying the user identity when accessing services such as finical websites. KBA requests specific information to prove personal identity of the owner. This paper discusses the challenges that are faced by KBA techniques. Memorability is the main obstacle in KBA since the… Read full abstract & cite →

Knowledge-based authentication artifact-based au-thentication biometric-based authentication usability vulnerabil-ities memorability performance cost

Abstract doi.org/10.14569/IJACSA.2020.0110291 PDF

92

Map Reduce based REmoving Dependency on K and Initial Centroid Selection MR-REDIC Algorithm for clustering of Mixed Data

Author 1: Khyati R. Nirmal Author 2: K.V.V Satyanarayana

In machine learning, clustering is recognized as widely used task to find hidden structure of data. While handling the massive amount of data, the traditional clustering algorithm degrades in performance due to size and mixed type of at-tributes. The Removal Dependency on K and Initial Centroid Selection (REDIC) algorithm is… Read full abstract & cite →

Machine learning clustering similarity measure-ment initial centroid selection number of clusters map reduce paradigm

Abstract doi.org/10.14569/IJACSA.2020.0110292 PDF

93

A Technique for Panorama-Creation using Multiple Images

Author 1: Moushumi Zaman Bonny Author 2: Mohammad Shorif Uddin

Image stitching, which is a process of integration of multiple images to create a panoramic image using all contents fitted into one frame, finds wide-spread applications in medical, high resolution digital map, satellite and video imaging. This paper proposes a framework to develop panorama image with multiple images. The framework… Read full abstract & cite →

Panorama image stitching correlation multiple images image features

Abstract doi.org/10.14569/IJACSA.2020.0110293 PDF

94

Comparison of Accuracy between Long Short-Term Memory-Deep Learning and Multinomial Logistic Regression-Machine Learning in Sentiment Analysis on Twitter

Author 1: Aries Muslim Author 2: Achmad Benny Mutiara Author 3: Rina Refianti Author 4: Cut Maisyarah Karyati Author 5: Galang Setiawan

The paper is about sentiment analysis research on Twitter. In this research data with the keyword, ‘Russian Hacking’ concerning the 2016 US presidential election on Twitter was taken as a dataset using Twitter API with Python pro-gramming language. The first process in sentiment analysis is the cleaning phase of tweet… Read full abstract & cite →

Sentiment analysis deep learning machine learn-ing Long Short-Term Memory (LSTM) Multinomial Logistic Regression (MLR)

Abstract doi.org/10.14569/IJACSA.2020.0110294 PDF

95

A Review of Intelligent Tutorial Systems in Computer and Web based Education

Author 1: Luis Alfaro Author 2: Claudia Rivera Author 3: Elisa Castaneda Author 4: Jesus Zuniga-Cueva Author 5: Maria Rivera-Chavez Author 6: Francisco Fialho

ITS (Intelligent Tutoring Systems) are integrated and complex systems, designed and developed using approaches and methods of artificial intelligence (AI), for the resolution of problems and requirements of the teaching/learning activities in the field of education and training of students and the workforce based in computers an web based emerging… Read full abstract & cite →

Intelligent learning systems computer assisted learning environments web based education

Abstract doi.org/10.14569/IJACSA.2020.0110295 PDF

96

An Algorithmic Approach for Maritime Transportation

Author 1: Peri Pinakpani Author 2: Aruna Polisetty Author 3: G Bhaskar N Rao Author 4: Harrison Sunil D Author 5: B Mohan Kumar Author 6: Dandamudi Deepthi Author 7: Aneesh Sidhireddy

Starting from the 3rd millennium BC, Indian maritime trade has augmented the life of a common man and businesses alike. This study, finds that India can leverage on the 7,500 long coast line and derive holistic development in terms of interconnected ports with hinterland connectivity and realize lower expenditure coupled… Read full abstract & cite →

Maritime transport multimodal logistics game theory greedy algorithm freight management intermodal transportation

Abstract doi.org/10.14569/IJACSA.2020.0110296 PDF

97

Opportunistic use of Spectral Holes in Karachi using Convolutional Neural Networks

Author 1: Aamir Zeb Shaikh Author 2: Shabbar Naqvi Author 3: Minaal Ali Author 4: Yamna Iqbal

Wireless services appearing in the next generation wireless standard i.e. 6G include Internet of Everything (IoE), Holographic communications, smart transportation and smart cities require exponential rise in the bandwidth in addition to other requirements. The current static spectrum allocation policy does not allow any new entrant to exploit already grid-locked… Read full abstract & cite →

Cognitive Radio Spectral hole Deep Learning Convolutional neural network (CNN)

Abstract doi.org/10.14569/IJACSA.2020.0110297 PDF