IJACSA Vol. 10 Issue 6 (2019)

1

AHP-based Security Decision Making: How Intention and Intrinsic Motivation Affect Policy Compliance

Author 1: Ahmed Alzahrani Author 2: Christopher Johnson

Analytic hierarchy process is a multiple-criteria tool used in applications related to decision-making. In this paper, analytic hierarchy process is used as guidance in information security policy decision-making by identifying influencing factors and their weights for information security policy compliance. The weights for intrinsic motivators are identified based on self-determination… Read full abstract & cite →

Analytic Hierarchy Process behavioural intention autonomy competence relatedness information security policy compliance

Abstract doi.org/10.14569/IJACSA.2019.0100601 PDF

2

Prediction of Visibility for Color Scheme on the Web Browser with Neural Networks

Author 1: Miki Yamaguchi Author 2: Yoshihisa Shinozawa

In this study, we propose neural networks for predicting the visibility of color schemes. In recent years, most of us have accessed websites owing to the spread of the Internet. It is necessary to design web pages that allow users to access information easily. The color scheme is one of… Read full abstract & cite →

Visibility prediction color recognition pairwise comparison experiment human color vision neural networks

Abstract doi.org/10.14569/IJACSA.2019.0100602 PDF

3

Application of the Scattering Bond Graph Methodology for Composite Right/Left Handed Transmission Lines

Author 1: Islem Salem Author 2: Hichem Taghouti Author 3: Ahmed Rahmani Author 4: Abdelkader Mami

The approach of the metamaterials based on the theory of transmission lines has an influence on the development of the radiofrequency domain, so the types and techniques of elaboration of these artificial lines are quite diversified. This paper will present two models of Artificial Transmission Line CRLH (Composite Right Left… Read full abstract & cite →

Scattering Bond Graph (SBG) metamaterials wave matrix [W] modelization transmission line scattering matrix [S] CRLH OSCRR OSRR

Abstract doi.org/10.14569/IJACSA.2019.0100603 PDF

4

Expert System for Milk and Animal Monitoring

Author 1: Todor Todorov Author 2: Juri Stoinov

Expert systems (ES) are one of the prominent research domains of artificial intelligence (AI). They are applications developed to solve complex problems in a particular domain, at the level of extra-ordinary human intelligence and expertise. In the paper is presented design and development of expert system for data collection, analysis… Read full abstract & cite →

Expert system milk quality animal health

Abstract doi.org/10.14569/IJACSA.2019.0100604 PDF

5

Innovative Means of Medical Students Teaching through Graphical Methods for Cardiac Data Estimating and Serious Games

Author 1: Galya N. Georgieva-Tsaneva

Now-a-days non-traditional methods and tools are introduced in the training of medical students which are mediated by the rapid development of information technologies: software training systems, Serious Games, and video materials. The paper presents a software system for the processing and analysis of physiological data, which is suitable for use… Read full abstract & cite →

Serious games medical education cardiovascular disease heart rate variability time domain analysis spectrogram

Abstract doi.org/10.14569/IJACSA.2019.0100605 PDF

6

Muscles Heating Analysis in Sportspeople to Prevent Muscle Injuries using Thermal Images

Author 1: Brian Meneses-Claudio Author 2: Witman Alvarado-Díaz Author 3: Fiorella Flores-Medina Author 4: Natalia I. Vargas-Cuentas Author 5: Avid Roman-Gonzalez

Muscle heating is the process that every athlete follows before any physical activity or sport which are the legs where greater force is exerted and in case a good heating routine is not practiced, the muscles can suffer tears, cramps or fractures due to sudden movements while the muscles are… Read full abstract & cite →

Thermal image muscle heating heat map muscle injuries temperature range

Abstract doi.org/10.14569/IJACSA.2019.0100606 PDF

7

Advanced Metaheuristics-based Tuning of Effective Design Parameters for Model Predictive Control Approach

Author 1: Mohamed Lotfi Derouiche Author 2: Soufiene Bouallègue Author 3: Joseph Haggège Author 4: Guillaume Sandou

This paper presents a systematic tuning approach for Model Predictive Control (MPC) parameters’ using an original LabVIEW-implementation of advanced metaheuristics algorithms. Perturbed Particle Swarm Optimization (pPSO), Gravitational Search Algorithm (GSA), Teaching-Learning Based Optimization (TLBO) and Grey Wolf Optimizer (GWO) metaheuristics are proposed to solve the formulated MPC tuning problem under… Read full abstract & cite →

Model predictive control parameters tuning advanced metaheuristics MAGLEV 33-006 DTS200 three-tank process LabVIEW implementation

Abstract doi.org/10.14569/IJACSA.2019.0100607 PDF

8

Secure Medical Internet of Things Framework based on Parkerian Hexad Model

Author 1: Nidal Turab Author 2: Qasem Kharma

Medical Internet of Things (MIoT) applications enhance medical services by collecting data using devices connected to the IoT. The collected data, which may include personal data and location, is transmitted to mobile device and to health care provider via Internet Service Provider (ISP). Unfortunately, connecting a device to a network… Read full abstract & cite →

MIoT Perkerian Hexad PRMS Lightweight Encryption

Abstract doi.org/10.14569/IJACSA.2019.0100608 PDF

9

Two Dimensional Electronic Nose for Vehicular Central Locking System (E-Nose-V)

Author 1: Mahmoud Zaki Iskandarani

A new approach to vehicle security is proposed, tried, tested. The designed and tested system comprises an odor detection system (E-Nose) that sends signals corresponding to selected odors to the smart vehicle Electronic Control Unit (ECU), which is interfaced to a smart system with neural networks. The signal is interpreted… Read full abstract & cite →

Odors E-Nose neural networks security correlation smart vehicles intelligent transportation systems smart cities

Abstract doi.org/10.14569/IJACSA.2019.0100609 PDF

10

Forensic Analysis using Text Clustering in the Age of Large Volume Data: A Review

Author 1: Bandar Almaslukh

Exploring digital devices in order to generate digital evidence related to an incident being investigated is essential in modern digital investigation. The emergence of text clustering methods plays an important role in developing effective digital forensics techniques. However, the issue of increasing the number of text sources and the volume… Read full abstract & cite →

Digital investigation forensic analysis text clustering

Abstract doi.org/10.14569/IJACSA.2019.0100610 PDF

11

Internet of Things (IOT): Research Challenges and Future Applications

Author 1: AbdelRahman H. Hussein

With the Internet of Things (IoT) gradually evolving as the subsequent phase of the evolution of the Internet, it becomes crucial to recognize the various potential domains for application of IoT, and the research challenges that are associated with these applications. Ranging from smart cities, to health care, smart agriculture… Read full abstract & cite →

Internet of Things IoT applications IoT challenges future technologies smart cities smart environment smart agriculture smart living

Abstract doi.org/10.14569/IJACSA.2019.0100611 PDF

12

Classification of Hand Movements based on Discrete Wavelet Transform and Enhanced Feature Extraction

Author 1: Jingwei Too Author 2: Abdul Rahim Abdullah Author 3: Norhashimah Mohd Saad

Extraction of potential electromyography (EMG) features has become one of the important roles in EMG pattern recognition. In this paper, two EMG features, namely, enhanced wavelength (EWL) and enhanced mean absolute value (EMAV) are proposed. The EWL and EMAV are the modified version of wavelength (WL) and mean absolute value… Read full abstract & cite →

Electromyography feature extraction discrete wavelet transform classification pattern recognition

Abstract doi.org/10.14569/IJACSA.2019.0100612 PDF

13

Modified Graph-theoretic Clustering Algorithm for Mining International Linkages of Philippine Higher Education Institutions

Author 1: Sheila R. Lingaya Author 2: Bobby D. Gerardo Author 3: Ruji P. Medina

Graph-theoretic clustering either uses limited neighborhood or construction of a minimum spanning tree to aid the clustering process. The latter is challenged by the need to identify and consequently eliminate inconsistent edges to achieve final clusters, detect outliers and partition substantially. This work focused on mining the data of the… Read full abstract & cite →

MST-based clustering Small World Network von Neumann Neighborhood internationalization Prim’s MST

Abstract doi.org/10.14569/IJACSA.2019.0100613 PDF

14

Digital Preservation of Cultural Heritage: Terengganu Brassware Craft Knowledge Base

Author 1: Wan Malini Wan Isa Author 2: Nor Azan Mat Zin Author 3: Fadhilah Rosdi Author 4: Hafiz Mohd Sarim

Early exposure to cultural heritage is necessary to preserve it from extinction. One form of cultural heritage that is now on the brink of extinction is the Terengganu brassware craft. Current young generations are mostly not interested in this heritage. Furthermore, intangible heritage in the form of knowledge and skills… Read full abstract & cite →

Cultural heritage digital preservation intangible cultural heritage knowledge acquisition knowledge base knowledge representation ontology

Abstract doi.org/10.14569/IJACSA.2019.0100614 PDF

15

Computer Students Attitudes on the Integration of m-Learning Applications

Author 1: Abdulmohsin S. Alkhunaizan

Technology has an important role in the lives particularly in the field of education nowadays because of its accessibility and affordability. Mobile learning (m-Learning) which is form of e-learning is a novel approach in the arena of educational technology that offers personal, informal, blended learning and flexible learning opportunities to… Read full abstract & cite →

e-Learning m-Learning mobile applications computer science WhatsApp

Abstract doi.org/10.14569/IJACSA.2019.0100615 PDF

16

Exploring the Use of Digital Games as a Persuasive Tool in Teaching Islamic Knowledge for Muslim Children

Author 1: Madihah Sheikh Abdul Aziz Author 2: Panadda Auyphorn Author 3: Mohd Syarqawy Hamzah

Various digital games have been developed that focus on providing a sense of enjoyment and excitement for their players in order to be a modern tool for releasing stress or simply for pleasure. In recent years, digital games were also used for teaching and learning. For example, in History subject… Read full abstract & cite →

Digital games persuasive tool Islamic knowledge Islamic values

Abstract doi.org/10.14569/IJACSA.2019.0100616 PDF

17

Brain-Controlled for Changing Modular Robot Configuration by Employing Neurosky’s Headset

Author 1: Muhammad Haziq Hasbulah Author 2: Fairul Azni Jafar Author 3: Mohd. Hisham Nordin Author 4: Kazutaka Yokota

Currently, the Brain Computer Interfaces (BCI) system was designed mostly to be implemented for control purpose or navigation which are mostly being employed for mobile robot, manipulator robot and humanoid robot by using Motor Imagery. This study presents an implementation of BCI system to Modular Self-Reconfigurable (MSR) Dtto robot so… Read full abstract & cite →

Dtto robot motor imagery OpenVibe modular robot configuration communication

Abstract doi.org/10.14569/IJACSA.2019.0100617 PDF

18

Analysis of Spatially Modelled High Temperature Polymer Electrolyte Membrane Fuel Cell under Dynamic Load Conditions

Author 1: Jagdesh Kumar Author 2: Jherna Devi Author 3: Ghulam Mustafa Bhutto Author 4: Sajida Parveen Author 5: Muhammad Shafiq

This paper presents an interesting approach to observe the effects of the load variations on the performance of high temperature polymer electrolyte membrane fuel cell system, such as: hydrogen and air flow rate, output voltage, power and efficiency. The main advantage of this approach is to analyse the internal behaviour… Read full abstract & cite →

Current-voltage characteristics energy conversion fuel cells power system modeling power system simulation

Abstract doi.org/10.14569/IJACSA.2019.0100618 PDF

19

A Collaborative Filtering Recommender System Model for Recommending Intervention to Improve Elderly Well-being

Author 1: Aini Khairani Azmi Author 2: Noraswaliza Abdullah Author 3: Nurul Akmar Emran

In improving elderly well-being nowadays, people at home or health care centre are mostly focusing on guarding and monitoring the elderly using tools, such as CCTV, robots, and other appliances that require a great deal of cost and neat fixtures to prevent damage. Elderly observations using the recommender system are… Read full abstract & cite →

Collaborative filtering elderly well-being k-nearest neighbor recommender system successful ageing

Abstract doi.org/10.14569/IJACSA.2019.0100619 PDF

20

Forecasting Feature Selection based on Single Exponential Smoothing using Wrapper Method

Author 1: Ani Dijah Rahajoe

Feature selection is one way to simplify classification process. The purpose is only the selected features are used for classification process and without decreasing its performance when compared without feature selection. This research uses new feature matrix as the base for selection. This feature matrix contains forecasting result using Single… Read full abstract & cite →

Single exponential smoothing forecasting feature selection genetic algorithm

Abstract doi.org/10.14569/IJACSA.2019.0100620 PDF

21

A Review on the Verification Approaches and Tools used to Verify the Correctness of Security Algorithms and Protocols

Author 1: Mohammed Abdulqawi Saleh Al-humaikani Author 2: Lukman Bin Ab Rahim

Security algorithms and protocols are typical essential upgrades that must be involved within systems and their structures to provide the best performance. The protocols and systems should go through verification and testing processes in order to be more efficient and accurate. In the testing of software, traditional methods are used… Read full abstract & cite →

Security algorithms security protocols formal verification approaches model checking theorem proving

Abstract doi.org/10.14569/IJACSA.2019.0100621 PDF

22

Performance Comparison of Detection, Recognition and Tracking Rates of the different Algorithms

Author 1: Meghana Kavuri Author 2: Kolla Bhanu Prakash

This article discusses the approach of human detection and tracking in a homogeneous domain using surveillance cameras. This is a vast area in which significant research has been taking place from more than a decade and the paper is about detection of a human and its face in a given… Read full abstract & cite →

Detection recognition tracking local binary pattern histogram Kalman filter particle filter

Abstract doi.org/10.14569/IJACSA.2019.0100622 PDF

23

QoS-based Semantic Micro Services Discovery and Composition using ACO Algorithm

Author 1: Ahmed ESSAYAH Author 2: Mohamed Youssfi Author 3: Omar Bouattane Author 4: Khalifa Mansouri Author 5: Elhocein Illoussamen

In this paper, we present a new model of e-Learning platforms based on semantic micro services using discovery, selection and composition methods to generate learning paths. In this model, each semantic micro service represents an elementary educational resource that can be a course, an exercise, a tutorial or an evaluation… Read full abstract & cite →

Semantic micro service quality of service learning path e-learning platform service discovery and composition ant colony optimization algorithm

Abstract doi.org/10.14569/IJACSA.2019.0100623 PDF

24

An Approach to Control the Positional Accuracy of Point Features in Volunteered Geographic Information Systems

Author 1: Mennatallah H. Ibrahim Author 2: Nagy Ramadan Darwish Author 3: Hesham A. Hefny

Volunteered geographic information (VGI) is a huge source of user-generated geographic information. There is an enormous potential to use VGI in different mapping activities due to its significant advantages. VGI is found to be richer and more up-to-date than authoritative geographic information. However, VGI quality is an obvious challenge that… Read full abstract & cite →

Volunteered geographic information quality control positional accuracy point features

Abstract doi.org/10.14569/IJACSA.2019.0100624 PDF

25

Android Security Development: SpywareDetection, Apps Secure Level and Data Encryption Improvement

Author 1: Lim Wei Xian Author 2: Chan Shao Hong Author 3: Yap Ming Jie Author 4: Azween Abdullah Author 5: Mahadevan Supramaniam

Most Android users are unaware that their smartphones are as vulnerable as any computer, and that permission by Android users is an important part of maintaining the security of Android smartphones. We present a method that uses manifest files to determine the presence of spyware and the security level of… Read full abstract & cite →

Android spyware detection security level index data encryption

Abstract doi.org/10.14569/IJACSA.2019.0100625 PDF

26

An Aspect Oriented Programming Framework to Support Transparent Runtime Monitoring of Applications

Author 1: Abdullah O. AL-Zaghameem

Monitoring the runtime state and behavior of applications is very important to evaluate the performance of these applications and to inspect their behavior. In case of legacy applications that have been developed without monitoring capabilities, there is a real challenge to accomplish runtime state monitoring. This research redefines runtime monitoring… Read full abstract & cite →

Runtime state monitoring application behavior aspect oriented programming technique statistical analysis bytecode transformation

Abstract doi.org/10.14569/IJACSA.2019.0100626 PDF

27

A Novel Intelligent Cluster-Head (ICH) to Mitigate the Handover Problem of Clustering in VANETs

Author 1: A. H. Abbas Author 2: Mohammed I. Habelalmateen Author 3: L. Audah Author 4: N.A.M. Alduais

The huge development in the number of Vehicle factories have resulted in many people having lost their life due to accident, which has made vehicular Ad-hoc networks (VANETs) hot topic to enable improved communication between vehicles aimed at reducing the loss of life. The main challenge in this area is… Read full abstract & cite →

Vehicular Ad-Hoc networks ITS clustering overlapping area handover ICH

Abstract doi.org/10.14569/IJACSA.2019.0100627 PDF

28

Weld Defect Categorization from Welding Current using Principle Component Analysis

Author 1: Hayri Arabaci Author 2: Salman Laving

Real time welding quality control still remains a challenging task due to the dynamic characteristic of welding. Welding current of gas metal arc welding possess valuable information that can be analyzed for weld quality assessment purposes. On-line monitoring of motor current can be provided information about the welding. In this… Read full abstract & cite →

Arc weld defects feature extraction PCA classification techniques on-line monitoring

Abstract doi.org/10.14569/IJACSA.2019.0100628 PDF

29

Moving Object Detection in Highly Corrupted Noise using Analysis of Variance

Author 1: Asim ur Rehman Khan Author 2: Muhammad Burhan Khan Author 3: Haider Mehdi Author 4: Syed Muhammad Atif Saleem

This paper implements three-way nested design to mark moving objects in a sequence of images. Algorithm performs object detection in the image motion analysis. The inter-frame changes (level-A) are marked as temporal contents, while the intra-frame variations identifies critical information. The spatial details are marked at two granular levels, comprising… Read full abstract & cite →

Analysis of variance (ANOVA) image motion analysis object detection

Abstract doi.org/10.14569/IJACSA.2019.0100629 PDF

30

Smart Home Energy Management System Design: A Realistic Autonomous V2H / H2V Hybrid Energy Storage System

Author 1: Bassam Zafar Author 2: Ben Slama Sami Author 3: Sihem Nasri Author 4: Marwan Mahmoud

The hybrid fuel cell electric vehicle powered by household power during peak use is another opportunity to reduce emissions and save money. For this reason, Vehicle-to-Home (V2H) and Home-to-Vehicle (H2V) systems were proposed as a new method of exchanging smart energy and a new method of exchanging smart energy. The… Read full abstract & cite →

Home energy management system fuel cell super-capacitor solar power vehicle to home home to vehicle

Abstract doi.org/10.14569/IJACSA.2019.0100630 PDF

31

Evaluation of the Performance of the University Information Systems: Case of Moroccan Universities

Author 1: Ayoub Gacim Author 2: Hicham Drissi Author 3: Abdelwahed Namir

The purpose of this paper is to develop a conceptual model of university information systems performance measurement. To do this resorted to the choice of 3E-3P model. This model proposes a development under the spectrum of the systemic approach. The objective is to provide a tool to decision-makers in order… Read full abstract & cite →

Component information system performance multicriteria modeling university

Abstract doi.org/10.14569/IJACSA.2019.0100631 PDF

32

Immuno-Computing-based Neural Learning for Data Classification

Author 1: Ali Al Bataineh Author 2: Devinder Kaur

The paper proposes two new algorithms based on the artificial immune system of the human body called Clonal Selection Algorithm (CSA) and the modified version of Clonal Selection Algorithm (MCSA), and used them to train the neural network. Conventional Artificial Neural Network training algorithm such as backpropagation has the disadvantage… Read full abstract & cite →

AIS CSA MCSA ACO BBNN

Abstract doi.org/10.14569/IJACSA.2019.0100632 PDF

33

Predictive Method for Service Composition in Heterogeneous Environments within Client Requirements

Author 1: Saleh M. Altowaijri

Cloud computing is a new delivery model for Information Technology services. Many actors and parameters play an important role in provisioning of dynamically elastic and virtualized resources at the levels of infrastructures, platforms, and softwares. Nowadays, many cloud services are competing and present often similar offers. From the customer side… Read full abstract & cite →

Workflow robust regression prediction cloud computing

Abstract doi.org/10.14569/IJACSA.2019.0100633 PDF

34

Spectral Classification of a Set of Hyperspectral Images using the Convolutional Neural Network, in a Single Training

Author 1: Abdelali Zbakh Author 2: Zoubida Alaoui Mdaghri Author 3: Abdelillah Benyoussef Author 4: Abdellah El Kenz Author 5: Mourad El Yadari

Hyperspectral imagery has seen a great evolution in recent years. Consequently, several fields (medical, agriculture, geosciences) need to make the automatic classification of these hyperspectral images with a high rate and in an acceptable time. The state-of-the-art presents several classification algorithms based on the Convolutional Neural Network (CNN) and each… Read full abstract & cite →

Classification spectral Convolutional Neural Network (CNN) deep learning hyperspectral data neural network

Abstract doi.org/10.14569/IJACSA.2019.0100634 PDF

35

Optical Recognition of Isolated Machine Printed Sindhi Characters using Fourier Descriptors

Author 1: Nasreen Nizamani Author 2: Mujtaba Shaikh Author 3: Jawed Unar Author 4: Ehsan Ali Author 5: Ghulam Mustafa Bhutto Author 6: Abdul Rafay

The scale invariance characteristics play an essential role in pattern recognition applications, for example in computer vision, OCR (Optical Character Recognition), electronic publication, etc. In this paper, the shape based feature extraction techniques are used in terms of invariant properties and the region based FD (Fourier Descriptors) have been used… Read full abstract & cite →

Features extraction Sindhi optical character recognition Fourier Descriptors machine printed Sindhi characters

Abstract doi.org/10.14569/IJACSA.2019.0100635 PDF

36

Junction Point Detection and Identification of Broken Character in Touching Arabic Handwritten Text using Overlapping Set Theory

Author 1: Inam Ullah Author 2: Mohd Sanusi Azmi Author 3: Mohamad Ishak Desa

Touching characters are formed when two or more characters share the same space with each other. Therefore, segmentation of these touching character is very challenging research topic especially for handwritten Arabic degraded documents. This is one of the key issue in recognition of the handwritten Arabic text. In order to… Read full abstract & cite →

Touching characters segmentation and recognition overlapping set theory junction point broken character

Abstract doi.org/10.14569/IJACSA.2019.0100636 PDF

37

Implementation of Machine Learning Model to Predict Heart Failure Disease

Author 1: Fahd Saleh Alotaibi

In the current era, Heart Failure (HF) is one of the common diseases that can lead to dangerous situation. Every year almost 26 million of patients are affecting with this kind of disease. From the heart consultant and surgeon’s point of view, it is complex to predict the heart failure… Read full abstract & cite →

Machine learning model medical data heart failure diagnoses

Abstract doi.org/10.14569/IJACSA.2019.0100637 PDF

38

Hyperparameter Optimization in Convolutional Neural Network using Genetic Algorithms

Author 1: Nurshazlyn Mohd Aszemi Author 2: P.D.D Dominic

Optimizing hyperparameters in Convolutional Neural Network (CNN) is a tedious problem for many researchers and practitioners. To get hyperparameters with better performance, experts are required to configure a set of hyperparameter choices manually. The best results of this manual configuration are thereafter modeled and implemented in CNN. However, different datasets… Read full abstract & cite →

Hyperparameter convolutional neural network CNN genetic algorithm GA random search optimization

Abstract doi.org/10.14569/IJACSA.2019.0100638 PDF

39

New Method of Faults Diagnostic based on Neuro-Dynamic Sliding Mode for Flat Nonlinear Systems

Author 1: O. Dhaou Author 2: L.Sidhom Author 3: A.Abdelkrim

This paper addresses the problem of simultaneous actuator, process and sensor Fault Detection and Isolation (FDI) for nonlinear system having flatness properties with the presence of disturbances and which are operating in closed-loop. In particular, the nonlinear system is corrupted with additive actuator, process or sensor faults with simultaneous occurrence… Read full abstract & cite →

Flat system fault detection and isolation inputs/parameters estimator higher order sliding mode differentiator dynamic neural network

Abstract doi.org/10.14569/IJACSA.2019.0100639 PDF

40

Big Data Technology-Enabled Analytical Solution for Quality Assessment of Higher Education Systems

Author 1: Samiya Khan Author 2: Xiufeng Liu Author 3: Kashish Ara Shakil Author 4: Mansaf Alam

Educational Intelligence is a broad area of big data analytical applications that make use of big data technologies for implementation of solutions for education and research. This paper demonstrates the designing, development and deployment of an educational intelligence application for real-world scenarios. Firstly, a quality assessment framework for higher education… Read full abstract & cite →

Education big data educational intelligence educational technology higher education quality education

Abstract doi.org/10.14569/IJACSA.2019.0100640 PDF

41

A Novel Network user Behaviors and Profile Testing based on Anomaly Detection Techniques

Author 1: Muhammad Tahir Author 2: Mingchu Li Author 3: Xiao Zheng Author 4: Anil Carie Author 5: Xing Jin Author 6: Muhammad Azhar Author 7: Naeem Ayoub Author 8: Atif Wagan Author 9: Muhammad Aamir Author 10: Liaquat Ali Jamali Author 11: Muhammad Asif Imran Author 12: Zahid Hussain Hulio

The proliferation of smart devices and computer networks has led to a huge rise in internet traffic and network attacks that necessitate efficient network traffic monitoring. There have been many attempts to address these issues; however, agile detecting solutions are needed. This research work deals with the problem of malware… Read full abstract & cite →

Network user behaviors profile testing anomaly detection techniques datasets anomaly detection algorithms machine learning

Abstract doi.org/10.14569/IJACSA.2019.0100641 PDF

42

Experimental Analysis of Color Image Scrambling in the Spatial Domain and Transform Domain

Author 1: R. Rama Kishore Author 2: Sunesh

This paper proposes two image-scrambling algorithms based on self-generated keys. First color image scrambling method works in the spatial domain, and second, works in the transform domain. The proposed methods cull the R, G, and B plane from the color image and scramble each plane separately by utilizing the self-generated… Read full abstract & cite →

Color image scrambling pixel position modification spatial domain Red Green Blue (RGB) transform domain

Abstract doi.org/10.14569/IJACSA.2019.0100642 PDF

43

Hijaiyah Letter Interactive Learning for Mild Mental Retardation Children using Gillingham Method and Augmented Reality

Author 1: Irawan Afrianto Author 2: Agung Faishal Faris Author 3: Sufa Atin

Assistive technology for children with special needs is a problem that is interesting to study. Collaboration between methods and latest technology can be used as a learning aid for them. Learning of Hijaiyah letters is the first step to being able to read the Holy Qur'an. Mentally retarded children have… Read full abstract & cite →

Hijaiyah intercative learning mild retarded child Gillingham VAKT augmented reality

Abstract doi.org/10.14569/IJACSA.2019.0100643 PDF

44

Causal Impact Analysis on Android Market

Author 1: Hadiqa AmanUllah Author 2: Mishal Fatima Author 3: Umair Muneer Author 4: Sadaf Ilyas Author 5: Rana Abdul Rehman Author 6: Ibraheem Afzal

Google play store contains a large repository of apps for android users. Play store has two billion active users that have two million apps to download and use. App developers are competing to get a higher success rate and increase user satisfaction but little information is known to developers for… Read full abstract & cite →

Android Google statistics mobile applications data visualization

Abstract doi.org/10.14569/IJACSA.2019.0100644 PDF

45

Emotion Detection in Text using Nested Long Short-Term Memory

Author 1: Daniel Haryadi Author 2: Gede Putra Kusuma

Humans have the power to feel different types of emotions because human life is filled with many emotions. Human’s emotion can be reflected through reading or writing a text. In recent years, studies on emotion detection through text has been developed. Most of the study is using a machine learning… Read full abstract & cite →

Sentiment analysis emotion detection text mining nested LSTM machine learning

Abstract doi.org/10.14569/IJACSA.2019.0100645 PDF

46

Dynamic Matrix Control DMC using the Tuning Procedure based on First Order Plus Dead Time for Infant-Incubator

Author 1: J. ElHadj Ali Author 2: E. Feki Author 3: A. Mami

The concept of Model Predictive Control (MPC) is considered as one of the most important controlling strategies. It is used in several fields, such as petrochemical, oil refinery, fertilizer and chemical plants. It is also well spread among the clinicians and in the biomedical fields. In this context, our paper… Read full abstract & cite →

Infant-incubator DMC MPC higher-order FOPDT PRC and MIMO

Abstract doi.org/10.14569/IJACSA.2019.0100646 PDF

47

Dense Hand-CNN: A Novel CNN Architecture based on Later Fusion of Neural and Wavelet Features for Identity Recognition

Author 1: Elaraby A. Elgallad Author 2: Wael Ouarda Author 3: Adel M. Alimi

Biometric recognition or biometrics has emerged as the best solution for criminal identification and access control applications where resources or information need to be protected from unauthorized access. Biometric traits such as fingerprint, face, palmprint, iris, and hand-geometry have been well explored; and matured approaches are available in order to… Read full abstract & cite →

Deep learning fusion palmprint squeezenet voting

Abstract doi.org/10.14569/IJACSA.2019.0100647 PDF

48

Detection of Suspicious of Diabetic Feet using Thermal Image

Author 1: Brian Meneses-Claudio Author 2: Witman Alvarado-Díaz Author 3: Fiorella Flores-Medina Author 4: Natalia I. Vargas-Cuentas Author 5: Avid Roman-Gonzalez

Diabetic foot is a chronic disease that occurs due to increased glucose levels, in addition to being the result of poorly controlled diabetes. In this case, the affected foot increases in temperature, because it contains accumulated blood. According to the Alianza para el Slvataje del Pie diabético en el Perú… Read full abstract & cite →

Diabetic foot thermal images image processing Roberts method heat map

Abstract doi.org/10.14569/IJACSA.2019.0100648 PDF

49

Blind Image Quality Evaluation of Stitched Image using Novel Hybrid Warping Technique

Author 1: Sanjay T. Gandhe Author 2: Omkar S. Vaidya

Image stitching is collection of sequential images captured at fixed camera center having considerable amount of overlap and produces aesthetically pleasing seamless panoramic view. But, practically it is very difficult to obtain clean and pristine stitched panoramic image of particular scene as such images are apparently distorted. In this paper… Read full abstract & cite →

Blind image quality evaluation hybrid warping image stitching panoramic image

Abstract doi.org/10.14569/IJACSA.2019.0100649 PDF

50

Bio-inspired Think-and-Share Optimization for Big Data Provenance in Wireless Sensor Networks

Author 1: Adel Alkhalil Author 2: Rabie Ramadan Author 3: Aakash Ahmad

Big data systems are being increasingly adopted by the enterprises exploiting big data applications to manage data-driven process, practices, and systems in an enterprise wide context. Specifically, big data systems and their underlying applications empower enterprises with analytical decision making (e.g., recommender/decision support systems) to optimize organizational productivity, competitiveness, and… Read full abstract & cite →

Big data systems data provenance fuzzy logic bio-inspired computing

Abstract doi.org/10.14569/IJACSA.2019.0100650 PDF

51

Fragile Watermarking based on Linear Cellular Automata using Manhattan Distances for 2D Vector Map

Author 1: Saleh AL-ardhi Author 2: Vijey Thayananthan Author 3: Abdullah Basuhail

There has been a growing demand for publishing maps in secure digital format, since this ensures the integrity of data. This had lead us to put forward a method of detecting and locating modification data that is extremely accurate and simultaneously guarantees that the exact original content is recovered. More… Read full abstract & cite →

Reversible watermarking fragile watermarking linear cellular automata Manhattan distances vector map

Abstract doi.org/10.14569/IJACSA.2019.0100651 PDF

52

A Watermarking System Architecture using the Cellular Automata Transform for 2D Vector Map

Author 1: Saleh AL-ardhi Author 2: Vijey Thayananthan Author 3: Abdullah Basuhail

Technological advancement, paired with the emergence of increasingly open and sophisticated communication systems, has contributed to the growing complexity of copyright protection and ownership identification for digital content. The technique of digital watermarking has been receiving attention in the literature as a way to address these complexities. Digital watermarking involves… Read full abstract & cite →

Digital watermarking spatial database 2d vector map linear cellular automata transform

Abstract doi.org/10.14569/IJACSA.2019.0100652 PDF

53

Electromyography Signal Acquisition and Analysis System for Finger Movement Classification

Author 1: Alvarado-Díaz Witman Author 2: Meneses-Claudio Brian Author 3: Roman-Gonzalez Avid

Electromyography (EMG) is very important to capture muscle activity. Although many jobs establish data acquisition system, however, it is also essential to demonstrate that these data are reliable. In this sense, one proposes a design and implementation of a data acquisition system with the Myoware device and the ATmega329P microcontroller… Read full abstract & cite →

EMG muscles disability classification learner Myoware

Abstract doi.org/10.14569/IJACSA.2019.0100653 PDF

54

Blood Vessels Segmentation in Retinal Fundus Image using Hybrid Method of Frangi Filter, Otsu Thresholding and Morphology

Author 1: Wiharto Author 2: YS. Palgunadi

Diagnosis of computer-based retinopathic hypertension is done by analyzing of retinal images. The analysis is carried out through various stages, one of which is blood vessel segmentation in retinal images. Vascular segmentation of the retina is a complex problem. This is caused by non-uniform lighting, contrast variations and the presence… Read full abstract & cite →

Segmentation morphology frangi filter retinal blood vessels

Abstract doi.org/10.14569/IJACSA.2019.0100654 PDF

55

A New Image Inpainting Approach based on Criminisi Algorithm

Author 1: Nouho Ouattara Author 2: Georges Laussane Loum Author 3: Ghislain Koffi Pandry Author 4: Armand Kodjo Atiampo

In patch-based inpainting methods, the order of filling the areas to be restored is very important. This filling order is defined by a priority function that integrates two parameters: confidence term and data term. The priority, as initially defined, is negatively affected by the mutual influence of confidence and data… Read full abstract & cite →

Image inpainting Criminisi algorithm priority function data term confidence term identity function

Abstract doi.org/10.14569/IJACSA.2019.0100655 PDF

56

Improving Knowledge Sharing in Distributed Software Development

Author 1: Sara Waheed Author 2: Bushra Hamid Author 3: NZ Jhanjhi Author 4: Mamoona Humayun Author 5: Nazir A Malik

Distributed Software Development has become an established software development paradigm that provides several advantages but it presents significant challenges to share and understand the knowledge required for developing software. Organizations are expected to implement appropriate practices to address knowledge management. From the existing studies, it is been analyzed that there… Read full abstract & cite →

Distributed software development knowledge sharing knowledge management

Abstract doi.org/10.14569/IJACSA.2019.0100656 PDF

57

IRPanet: Intelligent Routing Protocol in VANET for Dynamic Route Optimization

Author 1: Rafi Ullah Author 2: Shah Muhammad Emad Author 3: Taha Jilani Author 4: Waqas Azam Author 5: Muhammad Zain uddin

This paper presents novel routing protocol, IRPANET (Intelligent Routing Protocol in VANET) for Vehicular Adhoc Network (VANET). Vehicular Ad Hoc Networks are special class of Mobile Adhoc Network, created by road vehicles installed with wireless gadgets). Since the environment is dynamic due to high mobility and the topology changes are… Read full abstract & cite →

Intelligent routing protocol heuristics based routing applications of VANET Vehicular Adhoc Network VANET routing protocol

Abstract doi.org/10.14569/IJACSA.2019.0100657 PDF

58

Depth Limitation and Splitting Criteria Optimization on Random Forest for Efficient Human Activity Classification

Author 1: Syarif Hidayat Author 2: Ahmad Ashari Author 3: Agfianto Eko Putra

Random Forest (RF) is known as one of the best classifiers in many fields. They are parallelizable, fast to train and to predict, robust to outlier, handle unbalanced data, have low bias, and moderate variance. Apart from these advantages, there are still opportunities to increase RF efficiency. The absence of… Read full abstract & cite →

Activity accuracy classification fall optimization random forest

Abstract doi.org/10.14569/IJACSA.2019.0100658 PDF

59

The Mathematical Model of Hybrid Schema Matching based on Constraints and Instances Similarity

Author 1: Edhy Sutanta Author 2: Erna Kumalasari Nurnawati Author 3: Rosalia Arum Kumalasanti

Schema matching is a crucial issue in applications that involve multiple databases from heterogeneous sources. Schema matching evolves from a manual process to a semi-automated process to effectively guide users in finding commonalities between schema elements. New models are generally developed using a combination of methods to improve the effectiveness… Read full abstract & cite →

Constraint-based hybrid schema matching model instance-based mathematical model

Abstract doi.org/10.14569/IJACSA.2019.0100659 PDF

60

The Role of Technical Analysis Indicators over Equity Market (NOMU) with R Programing Language

Author 1: Mohammed A. Al Ghamdi

The stock market is a potent, fickle and fast-changing domain. Unanticipated market occurrences and unstructured financial information complicate predicting future market responses. A tool that continues to be advantageous when forecasting future market trends in a global aspect is correlation analysis to significant market events. Data analysis can be used… Read full abstract & cite →

Data mining data analysis R programing language Chaikin Money Flow (CMF) Stochastic Momentum Index (SMI) Relative Strength Index (RSI) Bollinger Bands (BBands) Aroon indicator

Abstract doi.org/10.14569/IJACSA.2019.0100660 PDF

61

A Circular Polarization RFID Tag for Medical Uses

Author 1: Nada Jebali Author 2: Ali Gharsallah

The aim of this paper is to present Radio Frequency Identification (RFID) Tag. The use of this kind of antennas in the medical field has a great importance in making people's life easier and improving the way to get medical information. This article is dedicated to explain the details of… Read full abstract & cite →

Radio Frequency Identification (RFID) circular polarization metal cutting through laser ablation method

Abstract doi.org/10.14569/IJACSA.2019.0100661 PDF

62

Passenger and Luggage Weight Monitoring System for Public Transport based on Sensing Technology: A Case of Zambia

Author 1: Apolinalious Bwalya Author 2: Jackson Phiri Author 3: Monica M. Kalumbilo Author 4: David Zulu

The prevalence of overloading, which is exceeding the maximum load weight, on public buses in Zambia is very rampant because there is currently no system to measure and monitor load weight at bus stations, apart from weighbridges on few selected roads located far away from the loading points. The aim… Read full abstract & cite →

Overloading load weight load cells emerging technologies

Abstract doi.org/10.14569/IJACSA.2019.0100662 PDF

63

Survey Energy Management Approaches in Data Centres

Author 1: Bouchra Morchid Author 2: Siham Benhadou Author 3: Mariam Benhadou Author 4: Abdellah Haddout Author 5: Hicham Medromi

Data centers are today the technological backbone for any company. However, the failure to control energy consumption leads to very high operating costs and carbon dioxide emissions. On the other hand, reducing power consumption in data centers can lead to a degradation of application performance and quality of service in… Read full abstract & cite →

Data center power management virtual machines physical servers "hosts" energy efficiency SLA (Service Level Agreement) PUE (Power Usage Effectiveness) QoS (Quality of Service)

Abstract doi.org/10.14569/IJACSA.2019.0100663 PDF

64

Comparative Study of Methods that Detect Levels of Lead and its Consequent Toxicity in the Blood

Author 1: Kevin J. Rodriguez Author 2: Alicia Alva Author 3: Virginia T. Santos Author 4: Avid Roman-Gonzalez

The present work is the study of the different methods used to determine the toxicity produced by the presence of a contaminating metal in the blood. Mainly, the presence of lead in the blood was taken as a reference to focus the work, knowing that metals like Cadmium (Cd) and… Read full abstract & cite →

Blood lead toxicity voltammetry absorption spectroscopy healthcare

Abstract doi.org/10.14569/IJACSA.2019.0100664 PDF

65

Smart Smoking Area based on Fuzzy Decision Tree Algorithm

Author 1: Iswanto Author 2: Kunnu Purwanto Author 3: Weni Hastuti Author 4: Anis Prabowo Author 5: Muhamad Yusvin Mustar

Cigarette smoke is very dangerous for both active and passive smokers who smoke inside a room because nicotine from cigarette smoke can stick on the wall or in the furniture and produce carcinogenic substances when reacting with air. The carcinogen chemicals in cigarettes are more dangerous when cigarette smoke is… Read full abstract & cite →

Fuzzy decision tree algorithm smart smoking room microcontroller smoke sensor

Abstract doi.org/10.14569/IJACSA.2019.0100665 PDF

66

A Comprehensive Collaborating Filtering Approach using Extended Matrix Factorization and Autoencoder in Recommender System

Author 1: Mahamudul Hasan Author 2: Falguni Roy Author 3: Tasdikul Hasan Author 4: Lafifa Jamal

Recommender system is an approach where users get suggestions based on their previous preferences. Nowadays, people are overwhelmed by the huge amount of information that is being present in any system. Sometimes, it is difficult for a user to find an appropriate item by searching the desired content. Recommender system… Read full abstract & cite →

Recommender system deep learning autoencoder matrix factorization similarity measures

Abstract doi.org/10.14569/IJACSA.2019.0100666 PDF

67

Satellite Image Enhancement using Wavelet-domain based on Singular Value Decomposition

Author 1: Muhammad Aamir Author 2: Ziaur Rahman Author 3: Yi-Fei Pu Author 4: Waheed Ahmed Abro Author 5: Kanza Gulzar

Improving the quality of satellite images has been considered an essential field of research in remote sensing and computer vision. There are currently numerous techniques and algorithms used to achieve enhanced performance. Different algorithms have been proposed to enhance the quality of satellite images. However, satellite images enhancement is considered… Read full abstract & cite →

Satellite Images Image Enhancement Singular Value Decomposition (SVD) Discrete Wavelet Transforms (DWT) Stationary Wavelet Transform (SWT)

Abstract doi.org/10.14569/IJACSA.2019.0100667 PDF

68

Convolutional Neural Networks in Predicting Missing Text in Arabic

Author 1: Adnan Souri Author 2: Mohamed Alachhab Author 3: Badr Eddine Elmohajir Author 4: Abdelali Zbakh

Missing text prediction is one of the major concerns of Natural Language Processing deep learning community’s at-tention. However, the majority of text prediction related research is performed in other languages but not Arabic. In this paper, we take a first step in training a deep learning language model on Arabic… Read full abstract & cite →

Natural Language Processing Convolutional Neu-ral Networks deep learning Arabic language text prediction text generation

Abstract doi.org/10.14569/IJACSA.2019.0100668 PDF

69

Multi-Modal Biometric: Bi-Directional Empirical Mode Decomposition with Hilbert-Hung Transformation

Author 1: Gavisiddappa Author 2: Chandrashekar Mohan Patil Author 3: Shivakumar Mahadevappa Author 4: Pramod KumarS

Biometric systems (BS) helps in reorganization of individual person based on the biological traits like ears, veins, signatures, voices, typing styles, gaits, etc. As, the Uni-modal BS does not give better security and recognition accuracy, the multimodal BS is introduced. In this paper, biological characters like face, finger print and… Read full abstract & cite →

Biometric Systems (BS) multimodal biometrics bi-directional empirical mode decomposition Hilbert-Huang trans-form Multi-Class Support Vector Machines technique (MC-SVM) 2000 Mathematics Subject Classification: 92C55 94A08 92C10

Abstract doi.org/10.14569/IJACSA.2019.0100669 PDF

70

Heuristics Applied to Mutation Testing in an Impure Functional Programming Language

Author 1: Juan Gutiérrez-Cárdenas Author 2: Hernan Quintana-Cruz Author 3: Diego Mego-Fernandez Author 4: Serguei Diaz-Baskakov

The task of elaborating accurate test suites for pro-gram testing can be an extensive computational work. Mutation testing is not immune to the problem of being a computational and time-consuming task so that it has found relief in the use of heuristic techniques. The use of Genetic Algorithms in mutation… Read full abstract & cite →

Mutation testing heuristics functional programming

Abstract doi.org/10.14569/IJACSA.2019.0100670 PDF

71

Exploiting the Interplay among Products for Efficient Recommendations

Author 1: Anbarasu Sekar Author 2: Sutanu Chakraborti

Recommender systems are built with the aim to reduce the cognitive load on the user. An efficient recommender system should ensure that a user spends minimal time in the process. Conversational Case-Based Recommender Systems (CCBR-RSs) depend on the feedback provided by the user to learn about the preferences of the… Read full abstract & cite →

Preference-based feedback case-based conversa-tional recommender system evidence trade-offs compromise diversity

Abstract doi.org/10.14569/IJACSA.2019.0100671 PDF

72

An Assessment of Open Data Sets Completeness

Author 1: Abdulrazzak Ali Author 2: Nurul A. Emran Author 3: Siti A. Asmai Author 4: Amelia R. Ismail

The rapid growth of open data sources is driven by free-of-charge contents and ease of accessibility. While it is convenient for public data consumers to use data sets extracted from open data sources, the decision to use these data sets should be based on data sets’ quality. Several data quality… Read full abstract & cite →

Data completeness missing values open data open data sources data collection

Abstract doi.org/10.14569/IJACSA.2019.0100672 PDF

73

Design and Application of a Smart Diagnostic System for Parkinson’s Patients using Machine Learning

Author 1: Asma Channa Author 2: Attiya Baqai Author 3: Rahime Ceylan

For analysis of Parkinson illness gait disabilities de-tection is essential. The only motivation behind this examination is to equitably and consequently differentiate among sound subjects and the one who is forbearing the Parkinson, utilizing IOT based indicative framework. In this examination absolute, 16 distinctive force sensors being attached with the… Read full abstract & cite →

Parkinson patients force sensors machine learn-ing Wavelet Packet Transform (WPT)

Abstract doi.org/10.14569/IJACSA.2019.0100673 PDF

74

An Effective Framework for Tweet Level Sentiment Classification using Recursive Text Pre-Processing Approach

Author 1: Muhammad Bux Alvi Author 2: Naeem A. Mahoto Author 3: Mukhtiar A. Unar Author 4: M. Akram Shaikh

With around 330 million people around the globe tweet 6000 times per second to express their feelings about a product, policy, service, or an event. Twitter message majorly consists of thoughts. Thoughts are mostly expressed as a text and it is an open challenge to extract some insight from free… Read full abstract & cite →

Machine learning recursive text pre-processing sentiment analysis sentiment classification framework Twitter

Abstract doi.org/10.14569/IJACSA.2019.0100674 PDF

75

Competitive Algorithms for Online Conversion Problem with Interrelated Prices

Author 1: Javeria Iqbal Author 2: Iftikhar Ahmad Author 3: Asadullah Shah

The classical uni-directional conversion algorithms are based on the assumption that prices are arbitrarily chosen from the fixed price interval [m,M] where m and M represent the estimated lower and upper bounds of possible prices 0 < m <= M. The estimated interval is erroneous and no attempts are made… Read full abstract & cite →

Time series search one-way trading online algo-rithms update model

Abstract doi.org/10.14569/IJACSA.2019.0100675 PDF

76

Introducing Multi Shippers Mechanism for Decentralized Cash on Delivery System

Author 1: Hai Trieu Le Author 2: Ngoc Tien Thanh Le Author 3: Nguyen Ngoc Phien Author 4: Nghia Duong-Trung Author 5: Ha Xuan Son Author 6: Thai Tam Huynh Author 7: The Phuc Nguyen

One of the major problems of e-commerce globally is the selling and buying of goods among the parties over the Internet in which the traders may not trust their partners. Cash on delivery allows customers to pay in cash when the product is delivered to their home or a location… Read full abstract & cite →

Blockchain smart contract Cash on Delivery (COD) hyperledger fabric

Abstract doi.org/10.14569/IJACSA.2019.0100676 PDF

77

Content-based Automatic Video Genre Identification

Author 1: Faryal Shamsi Author 2: Sher Muhammad Daudpota Author 3: Sarang Shaikh

Video content is evolving enormously with the heavy usage of internet and social media websites. Proper searching and indexing of such video content is a major challenge. The existing video search potentially relies on the information provided by the user, such as video caption, description and subsequent comments on the… Read full abstract & cite →

Motion detection scene detection shot boundary detection video genre identification

Abstract doi.org/10.14569/IJACSA.2019.0100677 PDF

78

A Comparison of Sentiment Analysis Methods on Amazon Reviews of Mobile Phones

Author 1: Sara Ashour Aljuhani Author 2: Norah Saleh Alghamdi

The consumer reviews serve as feedback for busi-nesses in terms of performance, product quality, and consumer service. In this research, we predict consumer opinion based on mobile phone reviews, in addition to providing an analysis of the most important factors behind reviews being classified as either positive, negative, or neutral… Read full abstract & cite →

Bag-of-words TF-IDF glove word2vec logistic regression stochastic gradient descent naive bayes Convolutional Neural Network log loss lime

Abstract doi.org/10.14569/IJACSA.2019.0100678 PDF

79

Virtualizing a Cluster to Optimize the Problems of High Scientific Complexity within an Organization

Author 1: Enrique Lee Huamaní Author 2: Patricia Condori Author 3: Avid Roman-Gonzalez

The Image Processing Research Laboratory (INTI-Lab) of the Universidad de Ciencias y Humanidades has several research projects related to computer science needing high computational resources. Some of these projects are associated with climate prediction, molecule modeling, physical simulations, and others these applications generate a significant amount of data, regarding the… Read full abstract & cite →

High-performance cluster distributed programming computational parallelism supercomputer high-efficiency computing

Abstract doi.org/10.14569/IJACSA.2019.0100679 PDF

80

School Manager System based on a Personal Information Architecture

Author 1: Elena Fabiola Ruiz Ledesma Author 2: Elizabeth Moreno Galván Author 3: Juan Jesús Gutiérrez García Author 4: Chadwick Carreto Arellano

The current technological revolution has provided multiple benefits to human activities. For their part, organizations have had the need to make changes to their business requirements, which have led them to migrate to systems and services in more complex models. Educational institutions have experienced the impact of technological progress, because… Read full abstract & cite →

Architecture mobile computing ubiquitous computing information management system

Abstract doi.org/10.14569/IJACSA.2019.0100680 PDF

81

Fusing Identity Management, HL7 and Blockchain into a Global Healthcare Record Sharing Architecture

Author 1: Mohammad A. R. Abdeen Author 2: Toqeer Ali Author 3: Yasar Khan Author 4: M.C.E. Yagoub

Healthcare record sharing among various medical roles is a critical and challenging research problem especially in today’s everchanging global IT solutions. The emergence of blockchain as a new enabling technology brought radical changes to numerous business applications, including healthcare. Blockchain is a trusted distributed ledger that forms a decentral-ized infrastructure… Read full abstract & cite →

Healthcare blockchain electronic health record identity management Health Level Seven (HL7)

Abstract doi.org/10.14569/IJACSA.2019.0100681 PDF

82

An Efficient Machine Learning Technique to Classify and Recognize Handwritten and Printed Digits of Sudoku Puzzle

Author 1: Sang C. Suh Author 2: Aghalya Dharshni Manmatharaj

In this paper, we propose a convolutional neural network model to recognize and classify handwritten and printed digits present in Sudoku puzzle, which is captured using smartphone camera from various magazines, and printed papers. Sudoku puzzle grid is detected using various image processing and filtering techniques such as adaptive threshold… Read full abstract & cite →

Convolutional Neural Network (CNN) Artificial Neural Network (ANN) Deep Belief Network (DBN) Optical character recognition (OCR) Open source computer vision (OpenCV) Convolutional Deep Belief Network (CDBN)

Abstract doi.org/10.14569/IJACSA.2019.0100682 PDF