IJACSA Vol. 10 Issue 7 (2019)

1

Hybrid Geo-Location Routing Protocol for Indoor and Outdoor Positioning Applications

Author 1: Sania Mushtaq Author 2: Dr. Gasim Alandjani Author 3: Saba Farooq Abbasi Author 4: Dr. Nasser Abosaq Author 5: Dr. Adeel Akram Author 6: Dr. Shahbaz Pervez

Internet of Things (IoT) essentially demands smart connectivity and contextual awareness of current networks with low power and cost effective wireless solutions. Routing is the backbone of the system controlling the flow of transmission. This work demonstrates a collation between performance investigations of a location-based routing protocol Geocast Adaptive Mesh… Read full abstract & cite →

Internet of Things (IoT) Network Simulator (NS-2) Routing Geocast Adaptive Mesh Environment for Routing (GAMER) Mobility Global Positioning System (GPS) Framework for Internal Navigation and Discovery (FIND)

Abstract doi.org/10.14569/IJACSA.2019.0100701 PDF

2

Phishing Websites Detection using Machine Learning

Author 1: Arun Kulkarni Author 2: Leonard L. Brown III

Tremendous resources are spent by organizations guarding against and recovering from cybersecurity attacks by online hackers who gain access to sensitive and valuable user data. Many cyber infiltrations are accomplished through phishing attacks where users are tricked into interacting with web pages that appear to be legitimate. In order to… Read full abstract & cite →

Phishing websites classification features machine learning

Abstract doi.org/10.14569/IJACSA.2019.0100702 PDF

3

Analysis of Software Deformity Prone Datasets with Use of AttributeSelectedClassifier

Author 1: Maaz Rasheed Malik Author 2: Liu Yining Author 3: Salahuddin Shaikh

Software Deformity Prone datasets models are interesting research direction in the era of software world. In this research study, the interest class of software deformity prone is defective model datasets. There are different techniques to predict the deformity prone datasets model. Our proposed solution technique is AttributeSelectedClassifier with selected evaluators… Read full abstract & cite →

GainRatio CFSSubsetEval PCA classification defect prediction deformity prone defect model classifier bug model softwar attributesubsetclassifier

Abstract doi.org/10.14569/IJACSA.2019.0100703 PDF

4

Detecting Inter-Component Vulnerabilities in Event-based Systems

Author 1: Youn Kyu Lee

Event-based system (EBS) has become popular because of its high flexibility, scalability, and adaptability. These advantages are enabled by its communication mechanism—implicit invocation and implicit concurrency between components. The communication mechanism is based on non-determinism in event processing, which can introduce inherent security vulnerabilities into a system referred to as… Read full abstract & cite →

Event-based system program analysis software security

Abstract doi.org/10.14569/IJACSA.2019.0100704 PDF

5

Towards the Adoption of Smart Manufacturing Systems: A Development Framework

Author 1: Moamin A Mahmoud Author 2: Jennifer Grace

Today, a new era of manufacturing innovation is introduced as Smart Manufacturing Systems (SMS) or Industry 4.0. Many studies have discussed the different characteristics and technologies associated with SMS, however, little attention has been devoted to study the development process when establishing new SMS. The study’s objective is to propose… Read full abstract & cite →

Component smart manufacturing industry 4.0 development framework simulation-based evaluation

Abstract doi.org/10.14569/IJACSA.2019.0100705 PDF

6

Smart City Parking Lot Occupancy Solution

Author 1: Paula Tatulea Author 2: Florina Calin Author 3: Remus Brad Author 4: Lucian Brâncovean Author 5: Mircea Greavu

In the context of Smart City projects, the management of parking lots is one of the main concerns of local administrations and of industrial solution providers. In this respect, we have presented an image processing application, which overcomes the issues of classical electro-mechanical solutions and employs the feed of a… Read full abstract & cite →

Smart city car parking occupancy monitoring system image features

Abstract doi.org/10.14569/IJACSA.2019.0100706 PDF

7

FLACC: Fuzzy Logic Approach for Congestion Control

Author 1: Mahmoud Baklizi

The popularity of network applications has increased the number of packets travelling within the routers in networks. The movement expends most resources in such networks and consequently leads to congestion, which worsens the performance measures of networks, such as delay, packet loss and bandwidth. This study proposes a new method… Read full abstract & cite →

Congestion Network Result Performance GREDFL

Abstract doi.org/10.14569/IJACSA.2019.0100707 PDF

8

Measuring the Effect of Packet Corruption Ratio on Quality of Experience (QoE) in Video Streaming

Author 1: Jonah Joshua Author 2: Akpovi Ominike Author 3: Oludele Awodele Author 4: Achimba Ogbonna

The volume of Internet video traffic which consists of downloaded or streamed video from the Internet is projected to increase from 42,029PB monthly in 2016 to 159,161PB monthly, in 2021, representing a 31% increase in the Compound Annual Growth Rate (CAGR). The market for mobile network operators is unpredictable, fast-paced… Read full abstract & cite →

Network Emulator Packet Corruption Ratio (PCR) Quality of Experience (QoE)

Abstract doi.org/10.14569/IJACSA.2019.0100708 PDF

9

Vision based Indoor Localization Method via Convolution Neural Network

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

Existing indoor localization methods have bottleneck constraints such as multipath effect for Wi-Fi based methods, high cost for ultra-wide-band based methods and poor anti-interference for Bluetooth-based methods and so on. In order to avoid these problems, a vision-based indoor localization method is proposed. Firstly, the whole deployment environment is departed… Read full abstract & cite →

Indoor localization VGG16NET transfer learning ArcFace classifier

Abstract doi.org/10.14569/IJACSA.2019.0100709 PDF

10

Fixation Detection with Ray-casting in Immersive Virtual Reality

Author 1: Najood Alghamdi Author 2: Wadee Alhalabi

This paper demonstrates the application of a proposed eye fixation detection algorithm to eye movement recorded during eye gaze input within immersive Virtual Reality and compares it with the standard frame-by-frame analysis for validation. Pearson correlations and a sample paired t-test indicated strong correlations between the two analysis methods in… Read full abstract & cite →

Eye Movement Eye Tracking Virtual Reality Fixation Detection HMD

Abstract doi.org/10.14569/IJACSA.2019.0100710 PDF

11

Traceability Establishment and Visualization of Software Artefacts in DevOps Practice: A Survey

Author 1: D A Meedeniya Author 2: I. D. Rubasinghe Author 3: I. Perera

DevOps based software process has become popular with the vision of an effective collaboration between the development and operations teams that continuously integrates the frequent changes. Traceability manages the artefact consistency during a software process. This paper explores the trace-link creation and visualization between software artefacts, existing tool support, quality… Read full abstract & cite →

Software traceability visualization comparative study DevOps continuous software development

Abstract doi.org/10.14569/IJACSA.2019.0100711 PDF

12

Blood Diseases Detection using Classical Machine Learning Algorithms

Author 1: Fahad Kamal Alsheref Author 2: Wael Hassan Gomaa

Blood analysis is an essential indicator for many diseases; it contains several parameters which are a sign for specific blood diseases. For predicting the disease according to the blood analysis, patterns that lead to identifying the disease precisely should be recognized. Machine learning is the field responsible for building models… Read full abstract & cite →

Machine learning classification algorithms decision trees KNN k-means blood disease

Abstract doi.org/10.14569/IJACSA.2019.0100712 PDF

13

A Mobile Robot Teleoperation System with a Wireless Communication Infrastructure using a Leaky Coaxial Cable based on TCP/IP

Author 1: Kei Sawai Author 2: Satoshi Aoyama Author 3: Tatsuo Motoyoshi Author 4: Toru Oshima Author 5: Ken’ichi Koyanagi Author 6: Hiroyuki Masuta Author 7: Takumi Tamamoto

In this study, we propose and develop a wireless teleoperation system for mobile robots using a leaky coaxial cable (LCX) with a wireless communication infrastructure. In closed spaces resulting from disasters, some problems have been reported, such as cable entanglement, disconnection of wired communications, and problems with teleoperations (e.g., unstable… Read full abstract & cite →

Mobile robot teleoperation leaky coaxial cable teleoperation infrastructure

Abstract doi.org/10.14569/IJACSA.2019.0100713 PDF

14

Communication Disconnection Prevention System by Bandwidth Depression-Type Traffic Measurement in a Multi-Robot Environment using an LCX Network

Author 1: Kei Sawai Author 2: Satoshi Aoyama Author 3: Takumi Tamamoto Author 4: Tatsuo Motoyoshi Author 5: Hiroyuki Masuta Author 6: Ken’ichi Koyanagi Author 7: Toru Oshima

In this paper, we propose and develop a method for determining the transmission amount of each mobile robot connected to a network constructed with a leaky coaxial cable (LCX) by using broadcast packets. Tele-operation of mobile robots using an LCX network is more effective as an information collection method in… Read full abstract & cite →

Multi-robot tele-operation leaky coaxial cable LCX networks operability broadcast packets transmittability of broadcast packets network disconnection prevention disaster reduction activity

Abstract doi.org/10.14569/IJACSA.2019.0100714 PDF

15

Developing an Integrated Cloud-based Framework for Securing Dataflow of Wireless Sensors

Author 1: Habibah AL-Harbi Author 2: Khalil H. A. Al-Shqeerat Author 3: Ibrahim S. Alsukayti

Cloud computing environment has been developed rapidly and becomes a popular trend in recent years. It provides on-demand services to several applications with access to an unlimited number of resources such as servers, storage, networks. Wireless Sensor Network, on the other hand, has been enormously progressing in various applications and… Read full abstract & cite →

Framework security wireless sensor cloud computing data integrity availability

Abstract doi.org/10.14569/IJACSA.2019.0100715 PDF

16

Cancer Classification from DNA Microarray Data using mRMR and Artificial Neural Network

Author 1: M A H Akhand Author 2: Md. Asaduzzaman Miah Author 3: Mir Hussain Kabir Author 4: M. M. Hafizur Rahman

Cancer is the uncontrolled growth of abnormal cells in the body and is a major death cause nowadays. It is notable that cancer treatment is much easier in the initial stage rather than it outbreaks. DNA microarray based gene expression profiling has become efficient technique for cancer identification in early… Read full abstract & cite →

Cancer classification gene expression data minimum redundancy maximum relevance method artificial neural network

Abstract doi.org/10.14569/IJACSA.2019.0100716 PDF

17

A Convolutional Neural Network for Automatic Identification and Classification of Fall Army Worm Moth

Author 1: Francis Chulu Author 2: Jackson Phiri Author 3: Phillip O.Y. Nkunika Author 4: Mayumbo Nyirenda Author 5: Monica M.Kabemba Author 6: Philemon H.Sohati

To combat the problem caused by the Fall Army Worm in the country there is a need to come up with robust early warning and monitoring systems as the current manual system is labor intensive and time consuming. The automation of the identification and classification of the insect is one… Read full abstract & cite →

Augmentation convolutional neural networks classification fall army worm machine learning tensorflow transfer learning

Abstract doi.org/10.14569/IJACSA.2019.0100717 PDF

18

Communication and Computation Aware Task Scheduling Framework Toward Exascale Computing

Author 1: Suhelah Sandokji Author 2: Fathy Eassa

The race for Exascale Computing has naturally led computer architecture to transit from the multicore era and into the heterogeneous era. Exascale Computing within the heterogenous environment necessarily use the best-fit scheduling and resource utilization improvement. Task scheduling is the main critical aspect in managing the challenges of Exascale in… Read full abstract & cite →

Exascale computing resource utilization hybrid task scheduling heterogeneous computing environment task scheduler framework

Abstract doi.org/10.14569/IJACSA.2019.0100718 PDF

19

A Mobile-based Tremor Detector Application for Patients with Parkinson’s Disease

Author 1: Pang Xin Yi Author 2: Maryati Mohd. Yusof Author 3: Kalaivani Chelappan

Parkinson’s disease affects millions of people worldwide and its frequency is steadily increasing. No cure is currently available for Parkinson’s disease patients, and most medications only treat the symptoms. This treatment depends on the quantification of Parkinson’s symptoms, such as hand tremors. The most commonly used method to measure human… Read full abstract & cite →

Agile mhealth mobile application Parkinson tremor detector

Abstract doi.org/10.14569/IJACSA.2019.0100719 PDF

20

The Effect of Social Feature Quality on the Social Commerce System

Author 1: Nona M Nistah Author 2: Maryati Mohd. Yusof Author 3: Suaini Sura Author 4: Ook Lee

The emergence of social networks has triggered the evolution of e-commerce to what is now known as social-commerce (s-commerce). However, s-commerce users experience problems related to its social features that affect s-commerce effectiveness. Therefore, the paper examines the effect of social feature quality (SFQ) determinants on s-commerce from customer perspective… Read full abstract & cite →

Social feature quality relationship support social support s-commerce e-commerce customer satisfaction

Abstract doi.org/10.14569/IJACSA.2019.0100720 PDF

21

New Approach of Automatic Modulation Classification based on in Phase-Quadrature Diagram Combined with Artificial Neural Network

Author 1: Jean Baptiste Bi Gouho Author 2: Désiré Melèdje Author 3: Boko Aka Author 4: Michel Babri

Automatic Modulation Classification (AMC) with intelligent system is an attracting area of research due to the development of SDR (Software Defined Radio). This paper proposes a new algorithm based on a combination of k-means clustering and Artificial Neural Network (ANN). We use constellation diagram I-Q (In phase, Quadrature) as basic… Read full abstract & cite →

Modulations artificial neural network clustering machine learning

Abstract doi.org/10.14569/IJACSA.2019.0100721 PDF

22

User Perspective on External Value Creation Factors in Indonesia e-Commerce

Author 1: Sfenrianto Sfenrianto Author 2: Hilda Oktavianni JM Author 3: Hafid Prima Putra Author 4: Khoerintus

Value creation is very important for the e-commerce companies in order to reach customers and increase company's value in the view of customer. Value creation mostly developed based on internal factor of the company. This statement is supported by many studies that researched on value creation from within the company… Read full abstract & cite →

External environment factors e-commerce user perspective value creation

Abstract doi.org/10.14569/IJACSA.2019.0100722 PDF

23

Double Diode Ideality Factor Determination using the Fixed-Point Method

Author 1: Traiki Ghizlane Author 2: Ouajji Hassan Author 3: Bifadene Abdelkader Author 4: Bouattane Omar

In this paper, we are interested in the diode ideality factor study of the double exponential equivalent model, based on the properties of the fixed point method. The optimal choice of this factor will improve the photovoltaic installation profitability. The diode ideality factor is a crucial parameter to describe solar… Read full abstract & cite →

Ideality factor fixed point double diode solar cell

Abstract doi.org/10.14569/IJACSA.2019.0100723 PDF

24

The Impact of Flyweight and Proxy Design Patterns on Software Efficiency: An Empirical Evaluation

Author 1: Muhammad Ehsan Rana Author 2: Wan Nurhayati Wan Ab Rahman Author 3: Masrah Azrifah Azmi Murad Author 4: Rodziah Binti Atan

In this era of technology, delivering quality software has become a crucial requirement for the developers. Quality software is able to help an organization to success and gain a competitive edge in the market. There are numerous quality attributes introduced by various quality models. Various researches and studies prove that… Read full abstract & cite →

Software efficiency design patterns flyweight design pattern proxy design pattern measuring software efficiency empirical evaluation of software

Abstract doi.org/10.14569/IJACSA.2019.0100724 PDF

25

Micro Agent and Neural Network based Model for Data Error Detection in a Real Time Data Stream

Author 1: Sidi Mohamed Snineh Author 2: Mohamed Youssfi Author 3: Abdelaziz Daaif Author 4: Omar Bouattane

In this paper, we present a model for learning and detecting the presence of data type errors in a real time big data stream processing context. The proposed approach is based on a collection of micro-agents. Each micro-agent is trained to detect a specific type of error using an atomic… Read full abstract & cite →

Micro-agent machine learning errors big data multilayer perceptron stream processing

Abstract doi.org/10.14569/IJACSA.2019.0100725 PDF

26

An Automatic Multiple Sclerosis Lesion Segmentation Approach based on Cellular Learning Automata

Author 1: Mohammad Moghadasi Author 2: Dr. Gabor Fazekas

Multiple Sclerosis (MS) is a demyelinating nerve disease which for an unknown reason assumes that the immune system of the body is affected, and the immune cells begin to destroy the myelin sheath of nerve cells. In Pathology, the areas of the distributed demyelination are called lesions that are pathologic… Read full abstract & cite →

Multiple Sclerosis (MS) MATLAB Magnetic Resonance Imaging (MRI) MS Lesions Cellular Learning Automata (CLA) Segmentation Support Vector Machines (SVM)

Abstract doi.org/10.14569/IJACSA.2019.0100726 PDF

27

A Constraint-based Approach to Deal with Self-Adaptation: The Case of Smart Irrigation Systems

Author 1: Asmaa Achtaich Author 2: Nissrine Souissi Author 3: Camille Salinesi Author 4: Raúl Mazo Author 5: Ounsa Roudies

Smart irrigation is a specific application of the IoT, where devices composed of sensors and actuators, collect environmental data, like soil humidity, air temperature and brightness, in order to lunch or plan irrigation cycles. These systems function according to a configuration that dictates the way in which every component should… Read full abstract & cite →

IoT irrigation systems smart constraint product lines self-adaptive systems

Abstract doi.org/10.14569/IJACSA.2019.0100727 PDF

28

Vietnamese Speech Command Recognition using Recurrent Neural Networks

Author 1: Phan Duy Hung Author 2: Truong Minh Giang Author 3: Le Hoang Nam Author 4: Phan Minh Duong

Voice control is an important function in many mobile devices, in a smart home, especially in providing people with disabilities a convenient way to communicate with the device. Despite many studies on this problem in the world, there has not been a formal study for the Vietnamese language. In addition… Read full abstract & cite →

Vietnamese speech command voice control recurrent neural networks

Abstract doi.org/10.14569/IJACSA.2019.0100728 PDF

29

Investigating Students’ Acceptance of Online Courses at Al-Ahliyya Amman University

Author 1: Qasem Kharma

Online courses allow students to access the course materials anytime and anywhere. Those courses are meant to enhance and improve the learning processes. Unfortunately, by analyzing data of an online course in Al-Ahliyya Amman University, it was found that only 51% of enrolled students accessed the animated course material. This… Read full abstract & cite →

TAM UTAUT online learning e-learning

Abstract doi.org/10.14569/IJACSA.2019.0100729 PDF

30

A Comprehensive Evaluation of Cue-Words based Features and In-text Citations based Features for Citation Classification

Author 1: Syed Jawad Hussain Author 2: Sohail Maqsood Author 3: NZ Jhanjhi Author 4: Azeem Khan Author 5: Mahadevan Supramaniam Author 6: Usman Ahmed

Citation plays a vital role in the scientific community of evaluating the contributions of scientific authors. Citing sources delivers a measurable way of evaluating the impact factor of journals and authors and allows for the recognition of new research issues. Different techniques for classifying citations have been proposed. Citations that… Read full abstract & cite →

Cue-words in-text citation hybrid

Abstract doi.org/10.14569/IJACSA.2019.0100730 PDF

31

Analysis of Accuracy and Precision of WLAN Position Estimation System based on RSS

Author 1: Sutiyo Author 2: Risanuri Hidayat Author 3: I Wayan Mustika Author 4: Sunarno

The coordinates of the position of a wireless access point are the main goal in the wireless localization technique. In common, outdoor wireless localization techniques use the trilateration method by installing several devices used as anchors, and this makes the cost for installation and maintenance higher. An outdoor wireless localization… Read full abstract & cite →

WLAN position estimation system WLAN distance estimation system accuracy and precision wireless localization efficient and flexible outdoor wireless localization

Abstract doi.org/10.14569/IJACSA.2019.0100731 PDF

32

Metric-based Measurement and Selection for Software Product Quality Assessment: Qualitative Expert Interviews

Author 1: Zubaidah Bukhari Author 2: Jamaiah Yahaya Author 3: Aziz Deraman

A systematic and efficient measurement process can assist towards the production of quality software product. Metric-based measurement method often used to assess the product quality. Currently several hundreds of metrics have been proposed by previous researchers. However, there is no specific and structured mechanism for metrics selection process. Lack of… Read full abstract & cite →

Software product metric metric selection criteria software quality software measurement selection process qualitative study

Abstract doi.org/10.14569/IJACSA.2019.0100732 PDF

33

Systematic Review of Existing IoT Architectures Security and Privacy Issues and Concerns

Author 1: Fatma Alshohoumi Author 2: Mohammed Sarrab Author 3: Abdulla AlHamadani Author 4: Dawood Al-Abri

Internet of things (IoT) has become one of the most prominent technologies that the world has been witnessing nowadays. It provides great solutions to humanity in many significant fields of life. IoT refers to a collection of sensors or object in the universe with the capability of communicating with each… Read full abstract & cite →

Internet of things IoT architecture stack IoT layers IoT privacy concerns IoT security

Abstract doi.org/10.14569/IJACSA.2019.0100733 PDF

34

Complex Binary Adder Designs and their Hardware Implementations

Author 1: Tariq Jamil Author 2: Medhat Awadalla Author 3: Iftaquaruddin Mohammed

Complex Binary Number System (CBNS) is (-1+j)-based on binary number system which facilitates both real and imaginary components of a complex number to be represented as single binary number. In this paper, we have presented three designs of nibble-size complex binary adders (ripple-carry, decoder-based, minimum-delay) and implemented them on various… Read full abstract & cite →

Complex number complex binary adder ripple carry decoder minimum delay

Abstract doi.org/10.14569/IJACSA.2019.0100734 PDF

35

Enhanced Mutual Authenticated Key Agreement Protocol for Anonymous Roaming Service in Global Mobility Networks

Author 1: Hyunsung Kim

With the rapid development of mobile intelligent terminals, users can enjoy ubiquitous life in global mobility networks (GLOMONET). It is essential to secure user information for providing secure roaming service in GLOMONET. Recently, Xu et al. proposed a mutual authentication and key agreement (MAKA) protocol as the basic security building… Read full abstract & cite →

Information security roaming security anonymity authenticated key agreement cryptanalysis

Abstract doi.org/10.14569/IJACSA.2019.0100735 PDF

36

Thermal Pain Level Estimation Method with Heart Rate and Cerebral Blood Flow

Author 1: Kohei Arai Author 2: Asato Mizoguchi Author 3: Hiroshi Okumura

Method for thermal pain level estimation with heart rate and cerebral blood flow using SVM is proposed. Through experiments, it is found that thermal pain level is much sensitive to the cerebral blood flow rather than heart rate. Also, it is found that the performance of thermal pain estimation is… Read full abstract & cite →

Thermal pain support vector machine thermal stimulus classification cerebral blood flow heart rate

Abstract doi.org/10.14569/IJACSA.2019.0100736 PDF

37

Citizen Attention Web Application for the Municipality of Sabinas, Coahila, Mexico

Author 1: Griselda Cortes Author 2: Alicia Valdez Author 3: Laura Vazquez Author 4: Alma Dominguez Author 5: Cesar Gonzalez Author 6: Ernestina Leija Author 7: Jose Cendejas

The information systems are fundamental to perform the daily activities of any organization. There is an increasing dependence on organizations to use information technology to achieve their objectives. This article presents the web information system that has been developed and implemented as support to manage the administrative services needs required… Read full abstract & cite →

Web system citizen attention database

Abstract doi.org/10.14569/IJACSA.2019.0100737 PDF

38

Usability of “Traysi”: A Web Application for Tricycle Commuters

Author 1: Ertie C Abana

This study measured the usability of a web application for tricycle commuters that was developed using Hypertext Markup Language (HTML), Cascading Style Sheet (CSS) and Javascript (JS) with the aid of Google Artificial Programming Interfaces (APIs). Toward this goal, the effectiveness, efficiency and user satisfaction were measured using common usability… Read full abstract & cite →

Tricycle usability metrics web application fare calculation Google API

Abstract doi.org/10.14569/IJACSA.2019.0100738 PDF

39

A Decision Tree Approach for Predicting Student Grades in Research Project using Weka

Author 1: Ertie C Abana

Data mining in education is an emerging multidiscipline research field especially with the upsurge of new technologies used in educational systems that led to the storage of massive student data. This study used classification, a data mining process, in evaluating computer engineering student’s data to identify students who need academic… Read full abstract & cite →

Data mining classification rules decision tree educational data mining WEKA

Abstract doi.org/10.14569/IJACSA.2019.0100739 PDF

40

A Review of Ontology Development Aspects

Author 1: Nur Liyana Law Mohd Firdaus Law Author 2: Moamin A. Mahmoud Author 3: Alicia Y.C. Tang Author 4: Fung-Cheng Lim Author 5: Hairoladenan Kasim Author 6: Marini Othman Author 7: Christine Yong

Although it is widely recognized that ontology is the main approach towards semantic interoperability among information systems and services, the understanding of ontology aspects among researchers is limited. To provide a clear insight to this problem and support researchers, we need a background understanding of various aspects related to ontology… Read full abstract & cite →

Component ontology semantics web artificial intelligence

Abstract doi.org/10.14569/IJACSA.2019.0100740 PDF

41

Post Treatment of Guided Wave by using Wavelet Transform in the Presence of a Defect on Surface

Author 1: MARRAKH Rachid Author 2: ALOUANE Houda Author 3: BELHOUSSINE DRISSI Taoufiq Author 4: NSIRI Benayad Author 5: ZAYRIT Soumaya

This article presents a Lamb wave processing by using two methods: Fast Fourier Transform (FFT2D) and Continuous Wavelet Transform (CWT) using Morlet wavelet. This treatment is done for a structure of two aluminum-copper plates, which are in contact edge to edge of a perpendicular junction with a thickness “e” in… Read full abstract & cite →

Lamb wave defect reflection transmission CWT FFT2D

Abstract doi.org/10.14569/IJACSA.2019.0100741 PDF

42

Vectorization of Text Documents for Identifying Unifiable News Articles

Author 1: Anita Kumari Singh Author 2: Mogalla Shashi

Vectorization is imperative for processing textual data in natural language processing applications. Vectorization enables the machines to understand the textual contents by converting them into meaningful numerical representations. The proposed work targets at identifying unifiable news articles for performing multi-document summarization. A framework is introduced for identification of news articles… Read full abstract & cite →

Vectorization news articles tf-idf word embeddings document embeddings text clustering

Abstract doi.org/10.14569/IJACSA.2019.0100742 PDF

43

A Proposed Model for Detecting Facebook News’ Credibility

Author 1: Amira M Idrees Author 2: Fahad Kamal Alsheref Author 3: Ahmed I. ElSeddawy

Social networks are currently one of the main News’ sources for most of their users. Moreover, News channels also consider social networks as main channels not only for spreading the news but also for measuring the feedback from their followers. Facebook Followers can comment or react to the news, which… Read full abstract & cite →

Social network vector space model correlation coefficient sentiment analysis

Abstract doi.org/10.14569/IJACSA.2019.0100743 PDF

44

Cyber Terrorist Detection by using Integration of Krill Herd and Simulated Annealing Algorithms

Author 1: Hassan Awad Hassan Al-Sukhni Author 2: Azuan Bin Ahmad Author 3: Madihah Mohd Saudi Author 4: Najwa Hayaati Mohd Alwi

This paper presents a technique to detect cyber terrorists suspected activities over the net by integrating the Krill Herd and Simulated Annealing algorithms. Three new level of categorizations, including low, high, and interleave have been introduced in this paper to optimize the accuracy rate. Two thousand datasets had been used… Read full abstract & cite →

Krill Herd web content classification cyber terrorists simulating annealing

Abstract doi.org/10.14569/IJACSA.2019.0100744 PDF

45

Knowledge Discovery based Framework for Enhancing the House of Quality

Author 1: Amira M Idrees Author 2: Ahmed I. ElSeddawy Author 3: Mohammed Ossama Zeidan

Mining techniques proved to have a successful impact in different fields for many targets; one of these targets is to gain customers’ satisfaction through enhancing the products’ quality according to the voice of these customers. This research proposes a framework that is based on mining techniques and adopted Saaty method… Read full abstract & cite →

Knowledge discovery mining techniques customer segmentation Saaty’s method customer satisfaction

Abstract doi.org/10.14569/IJACSA.2019.0100745 PDF

46

Convolutional Neural Network for Diagnosing Skin Cancer

Author 1: Mohammad Ashraf Ottom

Diagnosis of melanoma (skin cancer disease) is a challenging task in medical science field due to the amount and nature of the data. Skin cancer datasets are usually comes in different format and shapes including medical images, hence, data require tremendous efforts for preprocessing before the auto-diagnostic task itself. In… Read full abstract & cite →

Convolutional neural network CNN melanoma skin cancer image preprocessing

Abstract doi.org/10.14569/IJACSA.2019.0100746 PDF

47

A Review of Embedding Hexagonal Cells in the Circular and Hexagonal Region of Interest

Author 1: Marina Prvan Author 2: Julije Ožegovic Author 3: Arijana Burazin Mišura

Hexagonal cells are applied in various fields of research. They exhibit many advantages, and one of the most important is their possibility to be closely packed and to form a hexagonal grid that fully covers the Region of Interest (ROI) without overlaps or gaps. ROI can be of various geometrical… Read full abstract & cite →

Detector design hexagon tessellation region of Interest regular grid

Abstract doi.org/10.14569/IJACSA.2019.0100747 PDF

48

Efficient Software Testing Technique based on Hybrid Database Approach

Author 1: Humma Nargis Aleem Author 2: Mirza Mahmood Baig Author 3: Muhammad Mubashir Khan

In the field of computer science, software testing is referred as a critical process which is executed in order to assess and analyze the performance and risks existing in software applications. There is an emphasis on integrating specific approaches to carry out testing activities in an effective mode; the efficient… Read full abstract & cite →

Software testing database testing hypothetical database testing traditional database testing test case(s) grey box testing software quality assurance

Abstract doi.org/10.14569/IJACSA.2019.0100748 PDF

49

Agile Methods Selection Model: A Grounded Theory Study

Author 1: Mashal Kasem Alqudah Author 2: Rozilawati Razali Author 3: Musab Kasim Alqudah

Agile methods adoption has increased in recent years because of its contribution to the success rate of project development. Nevertheless, the success rate of projects implemented using Agile methods has not completely reached its expected mark, and selecting the appropriate Agile methods is one of the reasons for such lag… Read full abstract & cite →

Agile methods selection factors model grounded theory analysis

Abstract doi.org/10.14569/IJACSA.2019.0100749 PDF

50

A Group Cooperative Coding Model for Dense Wireless Networks

Author 1: El Miloud Ar-Reyouchi Author 2: Ahmed Lichioui Author 3: Salma Rattal

Generally, node groups in dense wireless networks (WNs) often pose the problem of communication between the central node and the rest of the nodes in a group. Adaptive Network Coded Cooperation (ANCC) for wireless central node networks adapts precisely to an extensive and dense WN, at this level the random… Read full abstract & cite →

Dense Wireless networks Bit Error Rate (BER) Low-Density Parity-Check (LDPC) codes

Abstract doi.org/10.14569/IJACSA.2019.0100750 PDF

51

Entanglement Classification for a Three-qubit System using Special Unitary Groups, SU(2) and SU(4)

Author 1: Siti Munirah Mohd Author 2: Bahari Idrus Author 3: Hishamuddin Zainuddin Author 4: Muriati Mukhtar

Entanglement is a physical phenomenon that links a pair, or a set of particles that correlates with each other, regardless of the distance between them. Recent researches conducted on entanglement are mostly focused on measurement and classification in multiqubit systems. Classification of two qubits will only distinguish the quantum state… Read full abstract & cite →

Quantum entanglement multiqubit entanglement entanglement classification special unitary group three-qubit system quantum information

Abstract doi.org/10.14569/IJACSA.2019.0100751 PDF

52

Proposal Models for Personalization of e-Learning based on Flow Theory and Artificial Intelligence

Author 1: Anibal Flores Author 2: Luis Alfaro Author 3: José Herrera Author 4: Edward Hinojosa

This paper presents the comparison of the results of two models for the personalization of learning resources sequences in a Massive Online Open Course (MOOC). The compared models are very similar and differ just in the way how they recommend the learning resource sequences to each participant of the MOOC… Read full abstract & cite →

Massive Online Open Course MOOC e-learning flow-theory learning resource sequence case based reasoning reinforcement learning q-learning

Abstract doi.org/10.14569/IJACSA.2019.0100752 PDF

53

Evaluation of LoRa-based Air Pollution Monitoring System

Author 1: Nael Abd Alfatah Husein Author 2: Abdul Hadi Abd Rahman Author 3: Dahlila Putri Dahnil

Air pollution is a threat to human health and the environment. Pollution caused by harmful gases emitted from car exhausts, factories, forest fires and other sources. Carbon monoxide, nitrogen oxides and carbon dioxide are the main elements of air pollution. Serious air pollution may cause harm to our health, thus… Read full abstract & cite →

Air pollution carbon monoxide wireless sensor network LoRa communication gateway transmission

Abstract doi.org/10.14569/IJACSA.2019.0100753 PDF

54

New Quintupling Point Arithmetic 5P Formulas for Lopez-Dahab Coordinate over Binary Elliptic Curve Cryptography

Author 1: Waleed K AbdulRaheem Author 2: Sharifah Bte Md Yasin Author 3: Nur Izura Binti Udzir Author 4: Muhammad Rezal bin Kamel Ariffin

In Elliptic Curve Cryptography (ECC), computational levels of scalar multiplication contains three levels: scalar arithmetic, point arithmetic and field arithmetic. To achieve an efficient ECC performance, precomputed points help to realize a faster computation, which takes away the need to repeat the addition process every time. This paper introduces new… Read full abstract & cite →

Elliptic Curve Cryptosystem (ECC) scalar multiplication algorithm point arithmetic point quintupling Lopez-Dahab (LD) binary curve

Abstract doi.org/10.14569/IJACSA.2019.0100754 PDF

55

YAWARweb: Pilot Study about the usage of a Web Service to Raise Awareness of Blood Donation Campaigns on University Campuses in Lima, Peru

Author 1: Alva Mantari Alicia Author 2: Lipa Cueva Alonso Author 3: Trinidad Quiñonez Oscar Author 4: Brian Meneses-Claudio Author 5: Zamora Benavente Isabel Author 6: Arias Guzmán Belinda Author 7: Delgado-Rivera Gerson Author 8: Roman-Gonzalez Avid

This document presents a preliminary study about a pilot deployment of a web service. The service is used as means to raise awareness in university campuses prior to blood donation campaigns and to measure its effect into posterior donor enrollment. The measure the level of awareness a score range from… Read full abstract & cite →

Aplication survey blood donation donor benefits

Abstract doi.org/10.14569/IJACSA.2019.0100755 PDF

56

Transforming Service Delivery with TOGAF and Archimate in a Government Agency in Peru

Author 1: Jorge Valenzuela Posadas

The application of The Open Group Architecture Framework (TOGAF) and Archimate to transform the citizen's service delivery by the Ministry of Labor and Employment Promotion of Peru is presented. The enterprise architecture development has followed the phases of the TOGAF Architecture Development Method (ADM) method: Architecture Vision, Business, Data, Application… Read full abstract & cite →

Enterprise architecture business architecture digital government The Open Group Architecture Framework (TOGAF) archimate design science

Abstract doi.org/10.14569/IJACSA.2019.0100756 PDF

57

Let’s Code: A Kid-friendly Interactive Application Designed to Teach Arabic-speaking Children Text-based Programming

Author 1: Tahani Almanie Author 2: Shorog Alqahtani Author 3: Albatoul Almuhanna Author 4: Shatha Almokali Author 5: Shaima Guediri Author 6: Reem Alsofayan

Programming is the cornerstone for the development of all of the technologies we encounter in our daily lives. It also plays an important role in enhancing creativity, problem-solving, and logical thinking. Due to the importance of programming in combination with the shortage of Arabic content that aims to teach children… Read full abstract & cite →

Edutainment mobile application interactive application Arabic children programming coding for kids Python

Abstract doi.org/10.14569/IJACSA.2019.0100757 PDF

58

Boosted Constrained K-Means Algorithm for Social Networks Circles Analysis

Author 1: Intisar M Iswed Author 2: Yasser F. Hassan Author 3: Ashraf S. Elsayed

The volume of information generated by a huge number of social networks users is increasing every day. Social networks analysis has gained intensive attention in the data mining research community to identify circles of users depending on the characteristics in the individual profiles or the structure of the network. In… Read full abstract & cite →

Constrained clustering boosting social networks k-means kernel matrix

Abstract doi.org/10.14569/IJACSA.2019.0100758 PDF

59

Collaborative Integrated Model in Agile Software Development (MDSIC/MDSIC–M)-Case Study and Practical Advice

Author 1: José L Cendejas Valdez Author 2: Heberto Ferreira Medina Author 3: Gustavo A. Vanegas Contreras Author 4: Griselda Cortes Morales Author 5: Alfonso Hiram Ginori González

The fast increase of mobile device users based on wider and easier internet access has detonated the development of mobile applications (APP) and web. Therefore, improvement and innovation have become a top priority for businesses and consumer relations. The functional quality and interface aspects in applications (software) drive companies to… Read full abstract & cite →

Agile methodology development Software (web–mobile) MDSIC / MDSIC – M quality assurance

Abstract doi.org/10.14569/IJACSA.2019.0100759 PDF

60

Low Power and High Reliable Triple Modular Redundancy Latch for Single and Multi-node Upset Mitigation

Author 1: S Satheesh Kumar Author 2: S Kumaravel

CMOS based circuits are more susceptible to the radiation environment as the critical charge (Qcrit) decreases with technology scaling. A single ionizing radiation particle is more likely to upset the sensitive nodes of the circuit and causes Single Event Upset (SEU). Subsequently, hardening latches to transient faults at control inputs… Read full abstract & cite →

Multiple Event Transient (MET) Single Event Upset (SEU) Single Event Transient (SET) Radiation hardening Reliability Transient fault Triple Modular Redundancy (TMR)

Abstract doi.org/10.14569/IJACSA.2019.0100760 PDF

61

Efficient Algorithm for Maximal Clique Size Evaluation

Author 1: Ubaida Fatima Author 2: Saman Hina

A large dataset network is considered for computation of maximal clique size (MC). Additionally, its link with popular centrality metrics to decrease uncertainty and complexity and for finding influential points of any network has also been investigated. Previous studies focus on centrality metrics like degree centrality (DC), closeness centrality (CC)… Read full abstract & cite →

Centrality measures network analysis maximal clique size

Abstract doi.org/10.14569/IJACSA.2019.0100761 PDF

62

A Conceptual Smart City Framework for Future Industrial City in Indonesia

Author 1: Julius Galih Prima Negara Author 2: Andi W. R. Emanuel

In Indonesia, the growth of cities from various big cities and industrial cities can cause many challenges. To face this challenge, policy makers can apply the concept of smart cities. This paper aims to analyze many studies that discuss prospective industrial city planning in a smart city perspective. This research… Read full abstract & cite →

Smart city industrial city smart industrial city framework Kulonprogo District

Abstract doi.org/10.14569/IJACSA.2019.0100762 PDF

63

A Tool for C++ Header Generation

Author 1: Patrick Hock Author 2: Koichi Nakayama Author 3: Kohei Arai

This paper presents a novel approach in the field of C++ development for increasing performance by reducing cognitive overhead and complexity, which results in lower costs. C++ code is split into header and cpp files. This split induces code redundancy. In addition, there are (commonly used) features for classes in… Read full abstract & cite →

Development C++ header file generation feature generation

Abstract doi.org/10.14569/IJACSA.2019.0100763 PDF

64

Heuristic Evaluation of Serious Game Application for Slow-reading Students

Author 1: Saffa Raihan Zainal Abidin Author 2: Siti Fadzilah Mat Noor Author 3: Noraidah Sahari Ashaari

The findings of preliminary studies found that conventional approaches were still relevant but students showed weak and moderate interest and quickly lost focus rather than technology approaches such as serious games were used especially for slow reading students (SRS). Most teachers use interventions that are not specifically designed to help… Read full abstract & cite →

Serious game brain-based learning heuristic evaluation literacy skills slow-reading students

Abstract doi.org/10.14569/IJACSA.2019.0100764 PDF

65

Seamless Connectivity for Adaptive Multimedia Provisioning over P2P-enabled IP Multimedia Subsystem

Author 1: Adnane Ghani Author 2: El Hassan Ibn Elhaj Author 3: Ahmed Hammouch Author 4: Abdelaali Chaoub

The subsystem multimedia internet network (IMS) has been upgraded to support peer-to-peer content distribution services, the peer heterogeneity constraint imposes a challenge that is the guarantee of a certain level of QOS of the video for the different pairs, and the transfer poses a challenge for maintaining quality of service… Read full abstract & cite →

Next generation networks NS2 quality adaptation scalable video coding peer to peer

Abstract doi.org/10.14569/IJACSA.2019.0100765 PDF

66

Cas-GANs: An Approach of Dialogue Policy Learning based on GAN and RL Techniques

Author 1: Muhammad Nabeel Author 2: Adnan Riaz Author 3: Wang Zhenyu

Dialogue management systems are commonly applied in daily life, such as online shopping, hotel booking, and driving booking. Efficient dialogue management policy helps systems to respond to the user in an effective way. Policy learning is a complex task to build a dialogue system. There are different approaches have been… Read full abstract & cite →

Generative Adversarial Networks (GANs) Graph Convolutional Network (GCN) Reinforce Learning (RL) Dialogue policy learning Maximum Log-Likelihood (MLL)

Abstract doi.org/10.14569/IJACSA.2019.0100766 PDF

67

Prioritization of Software Functional Requirements: Spanning Tree based Approach

Author 1: Muhammad Yaseen Author 2: Aida Mustapha Author 3: Noraini Ibrahim

Requirements prioritization shows significant role during effective implementation of requirements. Prioritization of requirements is not easy process particularly when requirements are large in size. The current methods of prioritization face limitations as the current prioritization techniques for functional requirements rely on the responses of stakeholders instead of prioritizing requirements on… Read full abstract & cite →

Requirements prioritization functional requirements spanning tree

Abstract doi.org/10.14569/IJACSA.2019.0100767 PDF

68

A Behavioral Study of Task Scheduling Algorithms in Cloud Computing

Author 1: Mohammad Riyaz Belgaum Author 2: Shahrulniza Musa Author 3: M. S. Mazliham Author 4: Muhammad Alam

All the services offered by cloud computing are bundled into one service know as IT as a Service (ITaaS). The user’s processes are executed using these services. The scheduling techniques used in the cloud computing environment execute the tasks at different datacenters considering the needs of the consumers. As the… Read full abstract & cite →

Cloud computing load balancing service broker policy scheduling

Abstract doi.org/10.14569/IJACSA.2019.0100768 PDF

69

Assessing Assistive Learning Technologies with Experimental Design

Author 1: Gede Pramudya Author 2: Aliza Che Amran Author 3: Muhammad Suyanto Author 4: Siti Nur Azrreen Ruslan Author 5: Helmi Adly Mohd Noor Author 6: Zuraida Abal Abas

Assistive learning technologies are generally computer-based instruments which are focused at supporting individuals with disabilities in enhancing their learning session with minimal intervention of parents, guardians, as well as helpers. Assessments using experimental research design have frequently been utilized in order to evaluate their efficacy along with feasibility. An experimental… Read full abstract & cite →

Assistive learning technology disabilities experimental design mathematical learning serious games autism visual perception

Abstract doi.org/10.14569/IJACSA.2019.0100769 PDF

70

Feature Fusion: H-ELM based Learned Features and Hand-Crafted Features for Human Activity Recognition

Author 1: Nouar AlDahoul Author 2: Rini Akmeliawati Author 3: Zaw Zaw Htike

Recognizing human activities is one of the main goals of human-centered intelligent systems. Smartphone sensors produce a continuous sequence of observations. These observations are noisy, unstructured and high dimensional. Therefore, efficient features have to be extracted in order to perform an accurate classification. This paper proposes a combination of Hierarchical… Read full abstract & cite →

Hierarchical extreme learning machine kernel extreme learning machine deep learning feature learning human activity recognition feature fusion

Abstract doi.org/10.14569/IJACSA.2019.0100770 PDF

71

Comparison Shopping Engines

Author 1: Ghizlane LAGHMARI Author 2: Sanae KHALI ISSA Author 3: M’hamed AIT KBIR

Since the stimulation of both feelings of need and temptation have become excessive with the spread of internet advertising, the e-consumer have begun to feel increasingly lost and overwhelmed by offers in a purchasing cycle whose process is mostly unstructured, unguided, and unassisted or - in other words - non… Read full abstract & cite →

Price comparators shopbots e-consumer online consumption shopping engines

Abstract doi.org/10.14569/IJACSA.2019.0100771 PDF

72

Classifying Red and Healthy Eyes using Deep Learning

Author 1: Sherry Verma Author 2: Latika Singh Author 3: Monica Chaudhry

Eye is one of the most vital organs of human body. Despite being small in size, humans cannot see the life around them without it. Human eye is protected by a thin covering termed as conjunctiva which protects the eye from dust particles. It plays the role of lubricant in… Read full abstract & cite →

Bulbar conjunctiva hyperemia convolutional neural network

Abstract doi.org/10.14569/IJACSA.2019.0100772 PDF

73

Development and Evaluation of Massive Open Online Course (MOOC) as a Supplementary Learning Tool: An Initial Study

Author 1: Husna Hafiza R Azami Author 2: Roslina Ibrahim

The popularity of Massive Open Online Courses (MOOCs) is prevalent among researchers and practitioners as a new paradigm of open education resource. Since the development of this technology may entail enormous investment, it is critical for institutions to clearly plan the process in designing, developing and evaluating MOOCs that fulfill… Read full abstract & cite →

MOOC development usability evaluation

Abstract doi.org/10.14569/IJACSA.2019.0100773 PDF

74

Simultaneous Stream Transmission Methods for Free Viewpoint TV: A Comparative Study

Author 1: Mudassar Hussain Author 2: Abdurahman Hassan A Alhazmi Author 3: Rashid Amin Author 4: Muhammad Almas Anjum Author 5: Ali Tahir

Free Viewpoint TV is a system to view natural videos and allow users to control the viewpoint interactively. The main idea is that the users can switch between multiple video streams to find viewpoints of their own choice. The purpose of this research is to provide fast switching between video… Read full abstract & cite →

Free viewpoint TV comparison of stream switching methods video stream switching fast switching simultaneous transmissions linear regression

Abstract doi.org/10.14569/IJACSA.2019.0100774 PDF

75

Non-intrusive Driver Drowsiness Detection based on Face and Eye Tracking

Author 1: Ameen Aliu Bamidele Author 2: Kamilia Kamardin Author 3: Nur Syazarin Natasha Abd Aziz Author 4: Suriani Mohd Sam Author 5: Irfanuddin Shafi Ahmed Author 6: Azizul Azizan Author 7: Nurul Aini Bani Author 8: Hazilah Mad Kaidi

The rate of annual road accidents attributed to drowsy driving are significantly high. Due to this, researchers have proposed several methods aimed at detecting drivers’ drowsiness. These methods include subjective, physiological, behavioral, vehicle-based, and hybrid methods. However, recent reports on road safety are still indicating drowsy driving as a major… Read full abstract & cite →

Driver Drowsiness Detection (DDD) face tracking eye tracking K-nearest Neighbors (KNN) Support Vector Machine (SVM) Logistic Regression Artificial Neural Networks (ANN)

Abstract doi.org/10.14569/IJACSA.2019.0100775 PDF

76

QoS Analysis to Optimize the Indoor Network IEEE 802.11 at UNTELS

Author 1: Jhon S Acuña-Aroni Author 2: Brayan W. Alvarado-Gomez Author 3: Avid Roman–Gonzalez

This paper arose from the need to improve mobility and connectivity to network users of the Universidad Nacional Tecnológica de Lima Sur and the problems that arise on the quality of services (QoS) such as signal intermittence, high latency, low decibels of received power, low coverage equipment that doesn't support… Read full abstract & cite →

Access point QoS coverage indoor software

Abstract doi.org/10.14569/IJACSA.2019.0100776 PDF

77

Graduation Certificate Verification Model: A Preliminary Study

Author 1: Omar S Sale Author 2: Osman Ghazali Author 3: Qusay Al Maatouk

Graduation certificates issued by universities and other educational institutions are one of the most important documents for a graduate. It is a proof of graduate’s qualifications and can be used to advance forward in one’s career and life. However, due to advances in software, printing and photocopying technologies, forgery of… Read full abstract & cite →

Graduation certificate verification graduation certificate authentication graduation certificate forgery

Abstract doi.org/10.14569/IJACSA.2019.0100777 PDF

78

New Approach based on Machine Learning for Short-Term Mortality Prediction in Neonatal Intensive Care Unit

Author 1: Zaineb Kefi Author 2: Kamel Aloui Author 3: Mohamed Saber Naceur

Mortality remains one of the most important outcomes to predict in Intensive Care Units (ICUs). In fact, the sooner mortality is predicted, the better critical decisions are made by doctors based on patient’s illness severity. In this paper, a new approach based on Machine Learning (ML) techniques for short-term mortality… Read full abstract & cite →

Mortality prediction neonates Intensive Care Units machine learning

Abstract doi.org/10.14569/IJACSA.2019.0100778 PDF

79

Unmanned Ground Vehicle with Stereoscopic Vision for a Safe Autonomous Exploration

Author 1: Jes´us Jaime Moreno-Escobar Author 2: Oswaldo Morales-Matamoros Author 3: Ricardo Tejeida-Padilla

At present there are several systems in cars that provide assistance to the driver and the tendency is that these systems are increasingly efficient and that for their operation do not require the intervention of the driver. Computer vision is relevant in this sector due to the contribution it provides… Read full abstract & cite →

Unmanned ground vehicle stereoscopic vision computer vision autonomous exploration

Abstract doi.org/10.14569/IJACSA.2019.0100779 PDF

80

Privacy Concerns in Online Social Networks: A Users’ Perspective

Author 1: Ahmad Ali Author 2: Ahmad Kamran Malik Author 3: Mansoor Ahmed Author 4: Basit Raza Author 5: Muhammad Ilyas

Social networking has elevated the human life to the heights of interaction, response and content sharing. It has been offering state of the art facilities to its users for a long time. Though, over the period of time, the systems have become quite matured yet alongside the benefits, multiple concerns… Read full abstract & cite →

Online social networks information security pri-vacy social networking attribute disclosure

Abstract doi.org/10.14569/IJACSA.2019.0100780 PDF

81

New Criteria for Comparing Global Stochastic Derivative-Free Optimization Algorithms

Author 1: Jonathan McCart Author 2: Ahmad Almomani

For many situations, the function that best models a situation or data set can have a derivative that may be difficult or impossible to find, leading to difficulties in obtaining information about the optimal values of the function. Thus, numerical methods for finding these important values without the direct involvement… Read full abstract & cite →

Derivative-free optimization algorithm comparison test problem benchmarking

Abstract doi.org/10.14569/IJACSA.2019.0100781 PDF

82

A Survey on Location Privacy-Preserving Mechanisms in Mobile Crowdsourcing

Author 1: Arwa Bashanfar Author 2: Eman Al-Zahrani Author 3: Maram Alutebei Author 4: Wejdan Aljagthami Author 5: Suhari Alshehri

Mobile Crowdsourcing (MCS) surfaced as a new affluent method for data collection and processing as a result of the boom of sensor-rich mobile devices popularity. MCS still has room for improvement, particularly in protecting workers’ private information such as location. Therefore, the installation of privacy-preserving mechanisms that insulate sensitive infor-mation… Read full abstract & cite →

Mobile crowdsourcing privacy security location privacy-preserving

Abstract doi.org/10.14569/IJACSA.2019.0100782 PDF

83

Ionospheric Anomalies before the 2015 Deep Earthquake Doublet, Mw 7.5 and Mw 7.6, in Peru

Author 1: Carlos Sotomayor-Beltran

Two major earthquakes separated by ∼5 minutes occurred in the same fault in Peru at depths of 606.2 and 620.6 km on November 24, 2015. By using Global Ionospheric Maps (GIMs) from the Center for Orbit Determination in Europe (CODE) and a broadly used statistical method, differential Vertical Total Electron… Read full abstract & cite →

Ionospheric anomalies earthquakes total electron content

Abstract doi.org/10.14569/IJACSA.2019.0100783 PDF

84

NetMob: A Mobile Application Development Framework with Enhanced Large Objects Access for Mobile Cloud Storage Service

Author 1: Yunus Parvej Faniband Author 2: Iskandar Ishak Author 3: Fatimah Sidi Author 4: Marzanah A. Jabar

Mobile enterprise applications are primarily devel-oped for existing backend enterprise systems and some usage scenarios require storing of large files on the mobile devices.These files range from large PDFs to media files in various formats (MPEG videos).These files needs to be used offline , sometimes updated and shared among users… Read full abstract & cite →

Mobile cloud computing data consistency mobile back-end as a service mobile apps distributed systems

Abstract doi.org/10.14569/IJACSA.2019.0100784 PDF

85

Visualization and Analysis in Bank Direct Marketing Prediction

Author 1: Alaa Abu-Srhan Author 2: Bara’a Alhammad Author 3: Sanaa Al zghoul Author 4: Rizik Al-Sayyed

Gaining the most benefits out of a certain data set is a difficult task because it requires an in-depth investigation into its different features and their corresponding values. This task is usually achieved by presenting data in a visual format to reveal hidden patterns. In this study, several visualization techniques… Read full abstract & cite →

Bank direct marketing prediction visualization oversampling Naive Bayes

Abstract doi.org/10.14569/IJACSA.2019.0100785 PDF

86

Evaluation of Peer Robot Communications using CryptoROS

Author 1: Abdul Hadi Abd Rahman Author 2: Rossilawati Sulaiman Author 3: Nor Samsiah Sani Author 4: Afzan Adam Author 5: Roham Amini

The demand of cloud robotics makes data encryp-tion essential for peer robot communications. Certain types of data such as odometry, action controller and perception data need to be secured to prevent attacks. However, the introduction of data encryption caused increment of overhead for data stream communication. This paper presents an… Read full abstract & cite →

Robot communication encryption robot operating system

Abstract doi.org/10.14569/IJACSA.2019.0100786 PDF

87

A Novel Image Encryption using Memetic Differential Expansion based Modified Logistic Chaotic Map

Author 1: Anvita Gupta Author 2: Dilbag Singh Author 3: Manjit Kaur

Under this paper, the primary conditions of a modified logistic chaotic map are created with the help of memetic differential expansion. In the beginning, the color image is broken down into different channels like red, blue and green. Then the modified logistic chaotic map essential variables are enhanced with the… Read full abstract & cite →

Image encryption modified logistic chaotic map memetic differential expansion

Abstract doi.org/10.14569/IJACSA.2019.0100787 PDF

88

Associative Classification using Automata with Structure based Merging

Author 1: Mohammad Abrar Author 2: Alex Tze Hiang Sim Author 3: Sohail Abbas

Associative Classification, a combination of two important and different fields (classification and association rule mining), aims at building accurate and interpretable classifiers by means of association rules. The process used to generate association rules is exponential by nature; thus in AC, researchers focused on the reduction of redundant rules via… Read full abstract & cite →

Associative classification automata ranking and pruning rules merging classification

Abstract doi.org/10.14569/IJACSA.2019.0100788 PDF

89

Smart Coaching: Enhancing Weightlifting and Preventing Injuries

Author 1: Ammar Yasser Author 2: Doha Tariq Author 3: Radwa Samy Author 4: Mennat Allah Hassan Author 5: Ayman Atia

Getting injured is one of the most devastating and dangerous challenges that an athlete can go through and if it is a big injury it could end his/her athletic career. In this paper, we propose a system to automate the idea of coaching an athlete, by using an IR Camera… Read full abstract & cite →

Weightlifting joints KNN fastDTW Naive Bayes SVM detecting injuries machine learning IR camera

Abstract doi.org/10.14569/IJACSA.2019.0100789 PDF