IJACSA Vol. 10 Issue 4 (2019)

1

Global and Local Characterization of Rock Classification by Gabor and DCT Filters with a Color Texture Descriptor

Author 1: J Wognin Vangah Author 2: Sié Ouattara Author 3: Gbélé Ouattara Author 4: Alain Clement

In the automatic classification of colored natural textures, the idea of proposing methods that reflect human perception arouses the enthusiasm of researchers in the field of image processing and computer vision. Therefore, the color space and the methods of analysis of color and texture, must be discriminating to correspond to… Read full abstract & cite →

Rock classification G-ALBPCSF D-ALBPCSF LBP gabor DCT RGB HSV color texture

Abstract doi.org/10.14569/IJACSA.2019.0100401 PDF

2

Adoption of the Internet of Things (IoT) in Agriculture and Smart Farming towards Urban Greening: A Review

Author 1: A. A Raneesha Madushanki Author 2: Malka N Halgamuge Author 3: W. A. H. Surangi Wirasagoda Author 4: Ali Syed

It is essential to increase the productivity of agricultural and farming processes to improve yields and cost-effectiveness with new technology such as the Internet of Things (IoT). In particular, IoT can make agricultural and farming industry processes more efficient by reducing human intervention through automation. In this study, the aim… Read full abstract & cite →

Internet of Things IoT agricultural smart farming business sensor data automation

Abstract doi.org/10.14569/IJACSA.2019.0100402 PDF

3

e-Learning Tools on the Healthcare Professional Social Networks

Author 1: Evgeny Nikulchev Author 2: Dmitry Ilin Author 3: Bladimir Belov Author 4: Pavel Kolyasnikov Author 5: Alexander Kosenkov

According to many studies, professional social networks are not widespread in the health care environment, especially doctors. The article is devoted to two advanced digital tools that can attract the image and increase motivation for professional social networks. The first tool is the inclusion of e-learning, both to increase the… Read full abstract & cite →

Healthcare professional social networks advanced digital tools e-learning test constructor e-learning

Abstract doi.org/10.14569/IJACSA.2019.0100403 PDF

4

Systematic Literature Review (SLR) of Resource Scheduling and Security in Cloud Computing

Author 1: Abdullah Sheikh Author 2: Malcolm Munro Author 3: David Budgen

Resource scheduling in cloud computing is a com-plex task due to the number and variety of resources available and the volatility of usage-patterns of resources considering that the resource setting is on the service provider. This compounded further when security issues are also factored in. This paper provide a Systematic… Read full abstract & cite →

Cloud computing security resource scheduling systematic literature review SLR

Abstract doi.org/10.14569/IJACSA.2019.0100404 PDF

5

Towards a Mechanism for Protecting Seller’s Interest of Cash on Delivery by using Smart Contract in Hyperledger

Author 1: Ha Xuan Son Author 2: Minh Hoang Nguyen Author 3: Nguyen Ngoc Phien Author 4: Hai Trieu Le Author 5: Quoc Nghiep Nguyen Author 6: Van Dai Dinh Author 7: Phu Thinh Tru Author 8: Phuc Nguyen

In emerging economies, with the explosion of e-commerce, payment methods have increasingly enhanced security. However, Cash-on-Delivery (COD) payment method still prevails in cash-based economies. Although COD allows consumers to be more proactive in making payments, it still appears to be vulnerable by the appearance of a third party (shipping companies)… Read full abstract & cite →

Blockchain fintech smart contract customer seller shipper cash on delivery hyperledger

Abstract doi.org/10.14569/IJACSA.2019.0100405 PDF

6

Dynamic Modification of Activation Function using the Backpropagation Algorithm in the Artificial Neural Networks

Author 1: Marina Adriana Mercioni Author 2: Alexandru Tiron Author 3: Stefan Holban

The paper proposes the dynamic modification of the activation function in a learning technique, more exactly backpropagation algorithm. The modification consists in changing slope of sigmoid function for activation function according to increase or decrease the error in an epoch of learning. The study was done using the Waikato Environment… Read full abstract & cite →

Artificial neural networks activation function sigmoid function WEKA multilayer perceptron instance classifier gradient rate metric performance dynamic modification

Abstract doi.org/10.14569/IJACSA.2019.0100406 PDF

7

Fault Injection and Test Approach for Behavioural Verilog Designs using the Proposed RASP-FIT Tool

Author 1: Abdul Rafay Khatri Author 2: Ali Hayek Author 3: Josef Börcsök

Soft-core processors and complex Field Pro-grammable Gate Array (FPGA) designs are described as an algorithmic manner, i.e. behavioural abstraction level in Hard-ware Description Languages (HDL). Lower abstraction levels add complexity and delays in the design cycle as well as in the fault injection approach. Therefore, fault simulation/emulation techniques are demanded… Read full abstract & cite →

Behavioural designs code parsing fault injection test approach Verilog HDL

Abstract doi.org/10.14569/IJACSA.2019.0100407 PDF

8

An Efficient Image Haze Removal Algorithm based on New Accurate Depth and Light Estimation Algorithm

Author 1: Samia Haouassi Author 2: Wu Di Author 3: Meryem Hamidaoui Author 4: Tobji Rachida

Single image Dehazing has become a challenging task for a variety of image processing and computer applications. Many attempts have been devised to recover faded colors and improve image contrast. Such methods, however, do not achieve maximum restoration, as images are often subject to color distortion. This paper proposes an… Read full abstract & cite →

Image dehazing Image Formation Model (IFM) depth map transmission map atmospheric light image blur image energy

Abstract doi.org/10.14569/IJACSA.2019.0100408 PDF

9

Arabic Text Classification using Feature-Reduction Techniques for Detecting Violence on Social Media

Author 1: Hissah ALSaif Author 2: Taghreed Alotaibi

With the current increase in the number of online users, there has been a concomitant increase in the amount of data shared online. Techniques for discovering knowledge from these data can provide us with valuable information when it comes to detecting different problems, including violence. Violence is one of the… Read full abstract & cite →

Violence text mining classification feature-reduction techniques Arabic Twitter posts

Abstract doi.org/10.14569/IJACSA.2019.0100409 PDF

10

Industrial Financial Forecasting using Long Short-Term Memory Recurrent Neural Networks

Author 1: Muhammad Mohsin Ali Author 2: Muhammad Imran Babar Author 3: Muhammad Hamza Author 4: Muhammad Jehanzeb Author 5: Saad Habib Author 6: Muhammad Sajid Khan

This research deals with the industrial financial forecasting in order to calculate the yearly expenditure of the organization. Forecasting helps in estimation of the future trends and provides a valuable information to make the industrial decisions. With growing economies, the financial world spends billions in terms of expenses. These expenditures… Read full abstract & cite →

Financial forecasting prediction long-short term memory recurrent neural networks artificial neural networks IBM SPSS

Abstract doi.org/10.14569/IJACSA.2019.0100410 PDF

11

Software Artefacts Consistency Management towards Continuous Integration: A Roadmap

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

Software development in DevOps practices has become popular with the collaborative intersection between development and operations teams. The notion of DevOps practices drives the software artefacts changes towards continuous integration and continuous delivery pipeline. Subsequently, traceability management is essential to handle frequent changes with rapid software evolution. This study explores… Read full abstract & cite →

Consistency management traceability continuous integration DevOps comparative study

Abstract doi.org/10.14569/IJACSA.2019.0100411 PDF

12

A GRASP-based Solution Construction Approach for the Multi-Vehicle Profitable Pickup and Delivery Problem

Author 1: Abeer I Alhujaylan Author 2: Manar I. Hosny

With the advancement of e-commerce and Internet shopping, the high competition between carriers has made many companies rethink their service mechanisms to customers, in order to ensure that they stay competitive in the market. Therefore, companies with limited resources focus on serving only customers who provide high profits at the… Read full abstract & cite →

Selective pickup and delivery problem multi-vehicle pro?table pickup and delivery problem greedy randomized adaptive search procedure metaheuristic algorithms

Abstract doi.org/10.14569/IJACSA.2019.0100412 PDF

13

Secured Multi-Hop Clustering Protocol for Location-based Routing in VANETs

Author 1: K Sushma Eunice Author 2: I. Juvanna

In today’s world, with the rise in the count of vehicles and lack of proper navigation, the congestion has become a major problem. In this scenario, VANETs play a very important part in improving the traffic condition and also in providing proper navigation. Improved navigation system reduces congestion thereby reducing… Read full abstract & cite →

Vanet tamper-proof device location-based routing protocols intelligent transportation system gpsr algorithm trusted authority roadside unit routing protocols

Abstract doi.org/10.14569/IJACSA.2019.0100413 PDF

14

Compound Mapping and Filter Algorithm for Hybrid SSD Structure

Author 1: Jin Young Kim Author 2: Se Jin Kwon

With the recent development of byte-unit non-volatile random access memory (RAM), various methods utilizing quad level cell (QLC) not-AND (NAND) flash memory with non-volatile RAM have been proposed. However, tests have shown that these hybrid structures lead to a reduction in the performance of a hybrid solid state disk (SSD)… Read full abstract & cite →

Pram hybrid architecture QLC NAND flash memory algorithm

Abstract doi.org/10.14569/IJACSA.2019.0100414 PDF

15

Optimal Compression of Medical Images

Author 1: Rafi Ullah Habib

In today’s healthcare system, medical images are playing a vital role in the diagnosis. The challenges arise to the hospital management systems (HMS) are to store and communicate the large volume of medical images generated by various imaging modalities. Efficient compression of medical images is required to reduce the bit… Read full abstract & cite →

Medical images wavelet transform JPEG2000 genetic programming compression quantization

Abstract doi.org/10.14569/IJACSA.2019.0100415 PDF

16

Protection of Ultrasound Image Sequence: Employing Motion Vector Reversible Watermarking

Author 1: Rafi Ullah Habib Author 2: Fayez Al-Fayez

In healthcare information systems, medical data is very important for diagnosis. Most of the health institutions store their patients’ data on third-party servers. Therefore, its security is very important, since the advent of advanced multimedia and communication technology, whereby digital contents are manipulated, copied, and duplicated without leaving any trace… Read full abstract & cite →

Reversible watermarking ultrasound sequence full-search motion vectors side information

Abstract doi.org/10.14569/IJACSA.2019.0100416 PDF

17

Extended Fuzzy Analytical Hierarchy Process Approach in Determinants of Employees’ Competencies in the Fourth Industrial Revolution

Author 1: Phuc Van Nguyen Author 2: Phong Thanh Nguyen Author 3: Quyen Le Hoang Thuy To Nguyen Author 4: Vy Dang Bich Huynh

This paper explored the education factors and ranked their impacts on the employees’ competencies development in Vietnam. Factors contributing to the employees’ competencies in the Vietnamese context are proposed based on the literature review under the justification of experts’ interviews. Then, the extended fuzzy analytical hierarchy process (EFAHP) approach was… Read full abstract & cite →

Employees’ competency fuzzy logic Extended Fuzzy Analytical Hierarchy Process (EFAHP)

Abstract doi.org/10.14569/IJACSA.2019.0100417 PDF

18

A Recurrent Neural Network and a Discrete Wavelet Transform to Predict the Saudi Stock Price Trends

Author 1: Mutasem Jarrah Author 2: Naomie Salim

Stock markets can be characterised as being complex, dynamic and chaotic environments, making the prediction of stock prices very tough. In this research work, we attempt to predict the Saudi stock price trends with regards to its earlier price history by combining a discrete wavelet transform (DWT) and a recurrent… Read full abstract & cite →

Recurrent Neural Network (RNN) Discrete Wavelet Transform (DWT) deep learning prediction stock market

Abstract doi.org/10.14569/IJACSA.2019.0100418 PDF

19

Medical Image(s) Watermarking and its Optimization using Genetic Programming

Author 1: Rafi Ullah Habib Author 2: Hani Ali Alquhayz

In this paper, an medical image watermarking technique has been proposed, where intelligence has been incorporated into the encoding and decoding structure. The motion vectors of the medical image sequence are used for embedding the watermark. Instead of a manual selection of the candidate motion vectors, a generalized approach is… Read full abstract & cite →

Capacity imperceptibility genetic programming image sequence watermarking

Abstract doi.org/10.14569/IJACSA.2019.0100419 PDF

20

Voltage Variation Signals Source Identification and Diagnosis Method

Author 1: Weihown Tee Author 2: Mohd Rahimi Yusoff Author 3: Abdul Rahim Abdullah Author 4: Muhamad Faizal Yaakub

Power Quality (PQ) problem has become an important issue for generating bad impact to the users nowadays. It is important to detect and identify the source of the PQ problem. This paper presents a voltage variation signals source identification and diagnosis method by determining the average time frequency representation (TFR)… Read full abstract & cite →

Power quality voltage variation spectrogram source identification average time frequency representation phase power

Abstract doi.org/10.14569/IJACSA.2019.0100420 PDF

21

Reliability and Connectivity Analysis of Vehicluar Ad Hoc Networks for a Highway Tunnel

Author 1: Saajid Hussain Author 2: Di Wu Author 3: Wang Xin Author 4: Sheeba Memon Author 5: Naadiya Khuda Bux Author 6: Arshad Saleem

Vehicular ad-hoc network (VANET) uses ‘mobile internet’ to facilitate the communication between vehicles and with the goal to ensure road safety and achieve secure communication. Thus the reliability of this type of networks is of paramount significance. The safety-related messages are disseminated in VANETs, on the wireless medium through vehicle… Read full abstract & cite →

Minimal safe headway reliability highway tunnel vehicular ad hoc networks connectivity probability

Abstract doi.org/10.14569/IJACSA.2019.0100421 PDF

22

Instrument Development for Measuring the Acceptance of UC&C: A Content Validity Study

Author 1: Emy Salfarina Alias Author 2: Muriati Mukhtar Author 3: Ruzzakiah Jenal

Studies on the acceptance of Unified Communications and Collaboration (UC&C) tools such as instant messaging and video conferencing have been around for some time. Adoption and acceptance of UC&C tools and services has boosted productivity and improved communications by integrating voice, video and data into one platform. UC&C also allows… Read full abstract & cite →

Acceptance model content validity diffusion of innovation service science unified communications and collaboration

Abstract doi.org/10.14569/IJACSA.2019.0100422 PDF

23

Congestion Control Techniques in WSNs: A Review

Author 1: Babar Nawaz Author 2: Khalid Mahmood Author 3: Jahangir Khan Author 4: Mahmood ul Hassan Author 5: Ansar Munir Shah Author 6: Muhammad Kashif Saeed

Congestion control has a great importance in wireless sensor network (WSN), where efficient application of congestion control mechanisms can prolong the network lifetime. Thus, proper examination is needed to improve more refine way to address the congestion occurrence and resolution. While designing congestion control techniques, the maximum output can be… Read full abstract & cite →

WSNs congestion control congestion preventing reliable data

Abstract doi.org/10.14569/IJACSA.2019.0100423 PDF

24

Convolutional Neural Network based for Automatic Text Summarization

Author 1: Wajdi Homaid Alquliti Author 2: Norjihan Binti Abdul Ghani

In recent times, the apps for the processing of a natural language has been formed and generated through the use of intelligent and soft computing methods that allow computer systems to practically mimic practices related to the process of human texts like the detection of plagiarism, determination of the pattern… Read full abstract & cite →

Automatic text summarization extracts summarization information retrieval deep learning convolutional neural network

Abstract doi.org/10.14569/IJACSA.2019.0100424 PDF

25

Hospital Readmission Prediction using Machine Learning Techniques

Author 1: Samah Alajmani Author 2: Hanan Elazhary

One of the most critical problems in healthcare is predicting the likelihood of hospital readmission in case of chronic diseases such as diabetes to be able to allocate necessary resources such as beds, rooms, specialists, and medical staff, for an acceptable quality of service. Unfortunately relatively few research studies in… Read full abstract & cite →

Decision tree hospital readmission logistic regression machine learning multi-layer perceptron Naïve Bayesian classifier support vector machines

Abstract doi.org/10.14569/IJACSA.2019.0100425 PDF

26

A Comparative Analysis of Wavelet Families for the Classification of Finger Motions

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

Wavelet transform (WT) has been widely used in biomedical, rehabilitation and engineering applications. Due to the natural characteristic of WT, its performance is mostly depending on the selection of mother wavelet function. A proper mother wavelet ensures the optimum performance; however, the selection of mother wavelet is mostly empirical and… Read full abstract & cite →

Mother wavelet discrete wavelet transform wavelet packet transform electromyography classification

Abstract doi.org/10.14569/IJACSA.2019.0100426 PDF

27

Comparative Analysis of Cow Disease Diagnosis Expert System using Bayesian Network and Dempster-Shafer Method

Author 1: Aristoteles Aristoteles Author 2: Kusuma Adhianto Author 3: Rico Andrian Author 4: Yeni Nuhricha Sari

Livestock is a source of animal protein that contains essential acids that improve human intelligence and health. Popular livestock in Indonesia is cow. Consumption of meat per capita is increased by 0.1% kg / capita / year. The high demand for beef in Indonesia is due to the increasing of… Read full abstract & cite →

Expert system Bayesian network Dempster-Shafer cow disease

Abstract doi.org/10.14569/IJACSA.2019.0100427 PDF

28

Enhanced e-Learning Experience using Case based Reasoning Methodology

Author 1: Swati Shekapure Author 2: Dipti D. Patil

In recent year’s improvement in innovation includes new limits for verifying data that will incite essential changes in eLearning. The user can see e-learning material subject to the reference given to them and select the best approach to see the resources. This proposed system addresses retrieval, reuse, revise and retain… Read full abstract & cite →

K-nearest neighbour method eLearning learning objects learning style case based reasoning

Abstract doi.org/10.14569/IJACSA.2019.0100428 PDF

29

Effect of Correlating ImageThreshold Values with Image Gradient Field on Damage Detection in Composite Structures

Author 1: Mahmoud Zaki Iskandarani

Effect of image threshold level variation is studied and proved to be a critical factor in damage detection and characterization of impacted composite Reaction Injection Molding ((RIM) structures. The variation of threshold is used as an input to both gradient field algorithm and segmentation algorithm. The choice of optimum threshold… Read full abstract & cite →

Gradient norm edge detection gray level mapping segmentation threshold histogram image processing composites impact damage

Abstract doi.org/10.14569/IJACSA.2019.0100429 PDF

30

Images Steganography Approach Supporting Chaotic Map Technique for the Security of Online Transfer

Author 1: Yasser Mohammad Al-Sharo

One of the most important issue in this domain is the security concern of the transfer data. The online transfer data may access illegally through attack the communication gate between the servers and the users. The main aim of this study is to enhance the security level of the online… Read full abstract & cite →

Security steganography chaotic map encryption network data

Abstract doi.org/10.14569/IJACSA.2019.0100430 PDF

31

ABCVS: An Artificial Bee Colony for Generating Variable T-Way Test Sets

Author 1: Ammar K Alazzawi Author 2: Helmi Md Rais Author 3: Shuib Basri

To achieve acceptable quality and performance of any software product, it is crucial to assess various software components in the application. There exist various software-testing techniques such as combinatorial testing and covering array. However, problems such as t-way combinatorial explosion is still challenging in any combinatorial testing strategy, as it… Read full abstract & cite →

T-way testing variable-strength interaction combinatorial testing covering array test suite generation artificial bee colony algorithm

Abstract doi.org/10.14569/IJACSA.2019.0100431 PDF

32

Improving the Performance of {0,1,3}-NAF Recoding Algorithm for Elliptic Curve Scalar Multiplication

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

Although scalar multiplication is highly fundamental to elliptic curve cryptography (ECC), it is the most time-consuming operation. The performance of such scalar multiplication depends on the performance of its scalar recoding which can be measured in terms of the time and memory consumed, as well as its level of security… Read full abstract & cite →

Elliptic Curve Cryptosystem (ECC) scalar multiplication algorithm {0 1 3}-NAF method Non-Adjacent Form (NAF)

Abstract doi.org/10.14569/IJACSA.2019.0100432 PDF

33

Novel Software-Defined Network Approach of Flexible Network Adaptive for VPN MPLS Traffic Engineering

Author 1: Faycal Bensalah Author 2: Najib El Kamoun

Multi-Protocol Label Switching VPN (MPLS-VPN) is a technology for connecting multiple remote sites across the operator’s private infrastructure. MPLS VPN offers advantages that traditional solutions cannot guarantee, in terms of security and quality of service. However, this technology is becoming more prevalent among businesses, banks or even public institutions. With… Read full abstract & cite →

SDN QoS VPN MPLS Adaptive network

Abstract doi.org/10.14569/IJACSA.2019.0100433 PDF

34

Big Data Strategy

Author 1: Alicia Valdez Author 2: Griselda Cortes Author 3: Sergio Castaneda Author 4: Laura Vazquez Author 5: Angel Zarate Author 6: Yadira Salas Author 7: Gerardo Haces Atondo

The importance of data analysis in companies grows every day, with a global market that generates large amounts of transactions. Industry 4.0 is one of the technological trends, which is a set of diverse technologies whose objective is the digitalization and technological connectivity of the entire value chain of organizations… Read full abstract & cite →

Technological strategy big data Hadoop data analysis

Abstract doi.org/10.14569/IJACSA.2019.0100434 PDF

35

Performance Analysis of Security Mechanism for Automotive Controller Area Network

Author 1: Mabrouka Gmiden Author 2: Mohamed Hedi Gmiden Author 3: Hafedh Trabelsi

Connectivity of modern cars has led to security issues. A number of contributions have proposed the use of cryptographic algorithms in order to provide automotive Controller Area Network (CAN) security. However, due to CAN protocol characteristics, real time requirements within cryptographic schemes are not guaranteed. In this work, effects of… Read full abstract & cite →

Automotive CAN security cryptographic algorithms analysis methodology real-time performances

Abstract doi.org/10.14569/IJACSA.2019.0100435 PDF

36

Feature-based Sentiment Analysis for Slang Arabic Text

Author 1: Emad E Abdallah Author 2: Sarah A. Abo-Suaileek

The increased number of Arab users on microblogging services who use Arabic language to write and read has triggered several researchers to study the posted data and discover the user’s opinion and feelings to support decision making. In this paper, a sentiment analysis framework is presented for slang Arabic text… Read full abstract & cite →

Sentiment analysis Arabic features opinion mining emotional features social media

Abstract doi.org/10.14569/IJACSA.2019.0100436 PDF

37

Healthcare Management using ICT and IoT based 5G

Author 1: Vijey Thayananthan

In healthcare management, all patients need to be looked after properly with the latest technology. Although treatment facilities of healthcare management are available wirelessly, many treatments are still pending and delayed because the number of patients is increasing. In this research, 2 problems are focused on they are the availability… Read full abstract & cite →

Information communication technology e_Health customer relationship management Radio Frequency Identification (RFID) Internet of Things based fifth generation (IoT based 5G)

Abstract doi.org/10.14569/IJACSA.2019.0100437 PDF

38

Towards a Conceptual Model to Evaluate usability of Digital Government Services in Malaysia

Author 1: Rini Yudesia Naswir Author 2: Nurazean Maarop Author 3: Mahmudul Hasan Author 4: Salwani Daud Author 5: Ganthan Narayana Samy Author 6: Pritheega Magalingam

The Malaysian government is committed to provide comprehensive digital government services and it is reflected in some policies and strategic plans such as 11th Malaysia Plan 2016-2020 (RMKe-11) for digital government transformation. However, though most of the Malaysia government services are online yet they are still inadequate and the majority… Read full abstract & cite →

Digital government citizen-centric quantitative usability

Abstract doi.org/10.14569/IJACSA.2019.0100438 PDF

39

A Hybrid of Multiple Linear Regression Clustering Model with Support Vector Machine for Colorectal Cancer Tumor Size Prediction

Author 1: Muhammad Ammar Shafi Author 2: Mohd Saifullah Rusiman Author 3: Shuhaida Ismail Author 4: Muhamad Ghazali Kamardan

This study proposed the new hybrid model of Multiple Linear Regression Clustering (MLRC) combined with Support Vector Machine (SVM) to predict tumor size of colorectal cancer (CRC). Three models: Multiple Linear Regression (MLR), MLRC and hybrid MLRC with SVM model were compared to get the best model in predicting tumor… Read full abstract & cite →

Colorectal cancer multiple linear regression support vector machine fuzzy c- means clustering prediction

Abstract doi.org/10.14569/IJACSA.2019.0100439 PDF

40

Intrusion-Miner: A Hybrid Classifier for Intrusion Detection using Data Mining

Author 1: Samra Zafar Author 2: Muhammad.Kamran Author 3: Xiaopeng.Hu

With the rapid growth and usage of internet, number of network attacks have increase dramatically within the past few years. The problem facing in nowadays is to observe these attacks efficiently for security concerns because of the value of data. Consequently, it is important to monitor and handle these attacks… Read full abstract & cite →

Intrusion detection system principal component analysis intrusion-minor fisher discriminant ratio

Abstract doi.org/10.14569/IJACSA.2019.0100440 PDF

41

Gene Optimized Deep Neural Round Robin Workflow Scheduling in Cloud

Author 1: Shanmugasundaram M Author 2: Kumar R Author 3: Kittur H M

Workflow scheduling is a key problem to be solved in the cloud to increases the quality of services. Few research works have been designed for performing workflow scheduling using different techniques. But, scheduling performance of existing techniques was not effective when considering a larger number of user tasks. Besides, the… Read full abstract & cite →

Bandwidth capacity processor time energy fitness function memory user task virtual machine

Abstract doi.org/10.14569/IJACSA.2019.0100441 PDF

42

Multi-criteria Intelligent Algorithm for Supply Chain Management

Author 1: Mahdi Jemmali Author 2: Loai Kayed B.Melhim Author 3: Mafawez Alharbi

In most societies, supply chain management and e-procurement processes, are one of the cornerstones of any economy and a primary influencer on people’s lives. Providing these communities with their different commodity needs de-pends on a wide range of suppliers. Due to supplier’s variety and diversity; the process of choosing the… Read full abstract & cite →

Decision making supplier scoring algorithms supply chain management

Abstract doi.org/10.14569/IJACSA.2019.0100442 PDF

43

Techniques, Tools and Applications of Graph Analytic

Author 1: Faiza Ameer Author 2: Muhammad Kashif Hanif Author 3: Ramzan Talib Author 4: Muhammad Umer Sarwar Author 5: Zahid Khan Author 6: Khawar Zulfiqar Author 7: Ahmad Riasat

Graphs have acute significance because of poly-tropic nature and have wide spread real world big data appli-cations, e.g., search engines, social media, knowledge discovery, network systems, etc. Major challenge is to develop efficient systems to store, process and analyze large graphs generated by these applications. Graph analytic is important research… Read full abstract & cite →

Graph graph analytic big data graph tools analytical techniques

Abstract doi.org/10.14569/IJACSA.2019.0100443 PDF

44

Dual-Cross-Polarized Antenna Decoupling for 43 GHz Planar Massive MIMO in Full Duplex Single Channel Communications

Author 1: Muhsin Muhsin Author 2: Rina Pudji Astuti

Massive Multiple Input Multiple Output (MIMO) and Full Duplex Single Channel (FDSC) at mm-Wave are key technology of future advanced wireless communications. Self-interference is the main problem in this technique because big number of antennas. This paper proposes dual-cross-polarized configuration to reduce self-interference between antennas. We conduct some computer simulations… Read full abstract & cite →

Massive MIMO dual polarized mm-Wave cou-pling self-interference full duplex single channel

Abstract doi.org/10.14569/IJACSA.2019.0100444 PDF

45

Multimodal Age-Group Recognition for Opinion Video Logs using Ensemble of Neural Networks

Author 1: Sadam Al Azani Author 2: El-Sayed M. El-Alfy

With the wide spread usage of smartphones and social media platforms, video logging is gaining an increasing popularity, especially after the advent of YouTube in 2005 with hundred millions of views per day. It has attracted interest of many people with immense emerging applications, e.g. filmmak-ers, journalists, product advertisers, entrepreneurs… Read full abstract & cite →

Multimodal recognition opinion mining age groups word embedding acoustic features visual features in-formation fusion ensemble learning Arabic speakers

Abstract doi.org/10.14569/IJACSA.2019.0100445 PDF

46

Performance Evaluation of Completed Local Ternary Pattern (CLTP) for Face Image Recognition

Author 1: Sam Yin Yee Author 2: Taha H. Rassem Author 3: Mohammed Falah Mohammed Author 4: Nasrin M. Makbol

Feature extraction is the most important step that affects the recognition accuracy of face recognition. One of these features are the texture descriptors that are playing an important role as local features descriptor in many of the face recognition systems. Recently, many types of texture descriptors had been proposed and… Read full abstract & cite →

Face recognition recognition accuracy Local Binary Pat-tern (LBP) Completed Local Binary Pattern (CLBP) Com-pleted Local Ternary Pattern (CLTP)

Abstract doi.org/10.14569/IJACSA.2019.0100446 PDF

47

Quantitative Analysis of Healthy and Pathological Vocal Fold Vibrations using an Optical Flow based Waveform

Author 1: Heyfa Ammar

The objective assessment of the vocal fold vibrations is important in diagnosing several vocal diseases. Given the high speed of the vibrations, the high speed videoendoscopy is commonly used to capture the vocal fold movements into video recordings. Commonly, two steps are carried out in order to automatically quantify laryngeal… Read full abstract & cite →

Quantification vocal fold vibrations optical flow based waveform pathology

Abstract doi.org/10.14569/IJACSA.2019.0100447 PDF

48

A Parallel Hybrid-Testing Tool Architecture for a Dual-Programming Model

Author 1: Ahmed Mohammed Alghamdi Author 2: Fathy Elbouraey Eassa

High-Performance Computing (HPC) recently has become important in several sectors, including the scientific and manufacturing fields. The continuous growth in building more powerful super machines has become noticeable, and the Exascale supercomputer will be feasible in the next few years. As a result, building massively parallel systems becomes even more… Read full abstract & cite →

Software testing OpenACC run-time error classifications hybrid testing tool dual-programming model OpenACC

Abstract doi.org/10.14569/IJACSA.2019.0100448 PDF

49

Efficient Mining of Association Rules based on Clustering from Distributed Data

Author 1: Marwa Bouraoui Author 2: Amel Grissa Touzi

Data analysis techniques need to be improved to allow the processing of data. One of the most commonly used techniques is the Association Rule Mining. These rules are used to detect facts that often occur together within a dataset. Unfortunately, existing methods generate a large number of association rules, without… Read full abstract & cite →

Distributed data association rules mining clustering meta-items meta-rules

Abstract doi.org/10.14569/IJACSA.2019.0100449 PDF

50

Academic Emotions Affected by Robot Eye Color: An Investigation of Manipulability and Individual-Adaptability

Author 1: Kento Koike Author 2: Yuya Tsuji Author 3: Takahito Tomoto Author 4: Daisuke Katagami Author 5: Takenori Obo Author 6: Yuta Ogai Author 7: Junji Sone Author 8: Yoshihisa Udagawa

We investigate whether academic emotions are affected by the color of a robot’s eyes in lecture behaviors. In conventional human-robot interaction research on robot lecturers, the emphasis has been on robots assisting or replacing human lecturers. We expanded these ideas and examined whether robots could lecture using one’s behaviors that… Read full abstract & cite →

Robot lecturer academic emotions lecture behavior human-robot interaction

Abstract doi.org/10.14569/IJACSA.2019.0100450 PDF

51

Formal Concept Analysis based Framework for Evaluating Information System Success

Author 1: Ansar Daghouri Author 2: Khalifa Mansouri Author 3: Mohammed Qbadou

This paper aims to propose a methodology for evaluating information system success. It is based on two main fields, which are formal concept analysis and multi criteria decision-making methods. A framework whose main objective is to visualize the synchronization between company processes and information system indicators via process mapping and… Read full abstract & cite →

Formal concept analysis process multi criteria indicator evaluation

Abstract doi.org/10.14569/IJACSA.2019.0100451 PDF

52

Cluster based Hybrid Approach to Task Scheduling in Cloud Environment

Author 1: Y. Home Prasanna Raju Author 2: Nagaraju Devarakonda

Cloud computing technology enables sharing of computer system resources among users through internet. Many numbers of users may request for sharable resources from a cloud. The sharable resources must be effectively distributed among requested users with in a less amount of time. Task scheduling is one of the ways of… Read full abstract & cite →

Task scheduling cloud computing clustering k-means particle swarm optimization makespan

Abstract doi.org/10.14569/IJACSA.2019.0100452 PDF

53

How Volunteering Affects the Offender’s Behavior

Author 1: Momina Shaheen Author 2: Tayyaba Anees Author 3: Muhammad Imran Manzoor Author 4: Shuja Akbar Author 5: Iqra Obaid Author 6: Aimen Anum

Agent Based modelling is widely used for presenting and evaluating a social phenomenon. Agent based modelling helps the researcher to analyze and evaluate a social model and its related hypothetical theories by simulating a real situation. This research presents a model for showing the behavior of an offender that is… Read full abstract & cite →

Offender’s behavior spreading of criminal behavior agent-based modelling simulation norm violation criminology

Abstract doi.org/10.14569/IJACSA.2019.0100453 PDF

54

Real Time RNA Sequence Edition with Matrix Insertion Deletion for Improved Bio Molecular Computing using Template Match Measure

Author 1: Kotteeswaran C Author 2: Khanaa V Author 3: Rajesh A

The RNA sequence editing has become a challenging task in the molecular computing. There are number of approaches that have been discussed earlier for the problem RNA editing in bio molecular computing, but they suffer to achieve higher performance. To improve the performance, an real time approach has been presented… Read full abstract & cite →

Bio Molecular Computing RNA Sequence SDM SMM Templates TMM

Abstract doi.org/10.14569/IJACSA.2019.0100454 PDF

55

CMMI-DEV Implementation Simplified

Author 1: Maruthi Rohit Ayyagari Author 2: Issa Atoum

With the advance technology and increase in customer requirements, software organizations pursue to reduce cost and increase productivity by using standards and best practices. The Capability Maturity Model Integration (CMMI) is a software process improvement model that enhances productivity and reduces time and cost of running projects. As a reference… Read full abstract & cite →

CMMI Spiral model Capability Maturity Model Integration process improvement CMMI Implementation

Abstract doi.org/10.14569/IJACSA.2019.0100455 PDF

56

Algorithm for Enhancing the QoS of Video Traffic over Wireless Mesh Networks

Author 1: Abdul Nasser A Moh Author 2: Radhwan Mohamed Abdullah Author 3: Abedallah Zaid Abualkishik Author 4: Borhanuddin Bin Moh. Ali Author 5: Ali A. Alwan

One of the major issues in a wireless mesh networks (WMNs) which needs to be solved is the lack of a viable protocol for medium access control (MAC). In fact, the main concern is to expand the application of limited wireless resources while simultaneously retaining the quality of service (QoS)… Read full abstract & cite →

Wireless Mesh Networks (WMNs) Medium Access Control (MAC) Quality of Service (QoS) video traffic

Abstract doi.org/10.14569/IJACSA.2019.0100456 PDF

57

Cybercrime in Morocco

Author 1: M EL Hamzaoui Author 2: Faycal Bensalah

Cybercrime encompasses all illegal actions and facts that target cyberspaces and cause enormous economic and financial damages to organizations and individuals. A cyberspace is essentially composed of digital information as well as its store and communication instruments/platforms. To remedy this phenomenon, attention has focused particularly on both computer security and… Read full abstract & cite →

Cybercrime cyberspace information system information and communication technologies social psychology

Abstract doi.org/10.14569/IJACSA.2019.0100457 PDF

58

A Comprehensive Comparative Analysis of Two Novel Underwater Routing Protocols

Author 1: Umar Draz Author 2: Tariq Ali Author 3: Khurshid Asghar Author 4: Sana Yasin Author 5: Zubair Sharif Author 6: Qasim Abbas Author 7: Shagufta Aman

The most unmanned area of this planet is sheltered with water; that is roughly 71.9% of the total area of this planet. A large quantity of marine life is present in this area. That is the reason underwater research is bounded due to unexplored benefits. Due to the addition of… Read full abstract & cite →

Data transmission throughput end-to-end delay energy consumption L2-ABF DVRP Delay

Abstract doi.org/10.14569/IJACSA.2019.0100458 PDF

59

Extreme Learning Machine and Particle Swarm Optimization for Inflation Forecasting

Author 1: Adyan Nur Alfiyatin Author 2: Agung Mustika Rizki Author 3: Wayan Firdaus Mahmudy Author 4: Candra Fajri Ananda

Inflation is one indicator to measure the development of a nation. If inflation is not controlled, it will have a lot of negative impacts on people in a country. There are many ways to control inflation, one of them is forecasting. Forecasting is an activity to find out future events… Read full abstract & cite →

Extreme learning machine particle swarm optimization inflation prediction

Abstract doi.org/10.14569/IJACSA.2019.0100459 PDF

60

Impact Factors of IT Flexibility within Cloud Technology on Various Aspects of IT Effectiveness

Author 1: Salameh A Mjlae Author 2: Zarina Mohamad Author 3: Wan Suryani

Cloud computing Adoption has achieved an essential inflection factor; this is affecting IT and business models and strategies all through the industries. There is a lack of empirical evidence how the adoption of cloud technology and a certain power of cloud technology specifically, affect various aspects of information technology effectiveness… Read full abstract & cite →

Cloud Computing Adoption (CCA) IT Flexibility (ITF) IT Effectiveness (ITF)

Abstract doi.org/10.14569/IJACSA.2019.0100460 PDF

61

Assistive Technologies for Bipolar Disorder: A Survey

Author 1: Yumna Anwar Author 2: Dr. Arshia Khan

Bipolar disorder is a severe mental illness characterized by periodic manic and depressive episodes. The current mode of assessment of the patient’s bipolar state is using subjective clinical diagnosis influenced by the patients self-reporting. There are many intervention technologies available to help manage the illness and many researches have worked… Read full abstract & cite →

Bipolar disorder mobile applications electrodermal activity heart rate variability behavioral intervention technologies depression mania

Abstract doi.org/10.14569/IJACSA.2019.0100461 PDF

62

Hybrid Genetic-FSM Technique for Detection of High-Volume DoS Attack

Author 1: Mohamed Samy Nafie Author 2: Khaled Adel Author 3: Hassan Abounaser Author 4: Amr Badr

Insecure networks are vulnerable to cyber-attacks, which may result in catastrophic damages on the local and global scope. Nevertheless, one of the tedious tasks in detecting any type of attack in a network, including DoS attacks, is to determine the thresholds required to discover whether an attack is occurring or… Read full abstract & cite →

Denial of Service (DoS) Evolutionary Algorithms (EA) Finite State Machine (FSM) Genetic Algorithm (GA) Genetic Programming (GP) Hill-Climbing Search

Abstract doi.org/10.14569/IJACSA.2019.0100462 PDF

63

Using Space Syntax and Information Visualization for Spatial Behavior Analysis and Simulation

Author 1: Sheng Ming Wang Author 2: Chieh-Ju Huang

This study used space syntax to discuss user movement dynamics and crowded hot spots in a commercial area. Moreover, it developed personas according to its onsite observations, visualized user movement data, and performed a deep-learning simulation using the generative adversarial network (GAN) to simulate user movement in an urban commercial… Read full abstract & cite →

Spatial behavior space syntax information visualization generative adversarial network (GAN) user movement

Abstract doi.org/10.14569/IJACSA.2019.0100463 PDF

64

Content based Document Classification using Soft Cosine Measure

Author 1: Md Zahid Hasan Author 2: Shakhawat Hossain Author 3: Md. Arif Rizvee Author 4: Md. Shohel Rana

Document classification is a deep-rooted issue in information retrieval and assumed to be an imperative part of an assortment of applications for effective management of text documents and substantial volumes of unstructured data. Automatic document classification can be defined as a content-based arrangement of documents to some predefined categories which… Read full abstract & cite →

Classification similarity feature extraction cosine similarity soft cosine measure content document

Abstract doi.org/10.14569/IJACSA.2019.0100464 PDF

65

Fuzzy Delphi Method for Evaluating HyTEE Model (Hybrid Software Change Management Tool with Test Effort Estimation)

Author 1: Mazidah Mat Rejab Author 2: Nurulhuda Firdaus Mohd Azmi Author 3: Suriayati Chuprat

When changes are made to a software system during development and maintenance, they need to be tested again i.e. regression test to ensure that changes behave as intended and have not impacted the software quality. This research will produce an automated tool that can help the software manager or a… Read full abstract & cite →

Fuzzy Delphi Method software traceability test effort estimation regression testing software changes

Abstract doi.org/10.14569/IJACSA.2019.0100465 PDF

66

Efficient MRI Segmentation and Detection of Brain Tumor using Convolutional Neural Network

Author 1: Alpana Jijja Author 2: Dr. Dinesh Rai

Brain tumor is one of the most life-threatening diseases at its advance stages. Hence, detection at early stages is very crucial in treatment for improvement of the life expectancy of the patients. magnetic resonance imaging (MRI) is being used extensively nowadays for detection of brain tumors that requires segmenting huge… Read full abstract & cite →

Brain tumor segmentation convolutional neural network water cycle algorithm

Abstract doi.org/10.14569/IJACSA.2019.0100466 PDF

67

Smartphones-Based Crowdsourcing Approach for Installing Indoor Wi-Fi Access Points

Author 1: Ahmad Abadleh Author 2: Wala Maitah Author 3: Hamzeh Eyal Salman Author 4: Omar Lasassmeh Author 5: Awni Hammouri

This study provides a new Crowdsourcing-based approach to identify the most crowded places in an indoor environment. The Crowdsourcing Indoor Localization system (CSI) has been one of the most used techniques in location-based applications. However, many applications suffer from the inability to locate the most crowded locations for various purposes… Read full abstract & cite →

Crowdsourcing indoor localization system ac-celerometer sensors Wi-Fi access point smartphones

Abstract doi.org/10.14569/IJACSA.2019.0100467 PDF

68

Data Citation Service for Wikipedia Articles

Author 1: Arif Bramantoro Author 2: Ahmad A. Alzahrani

The citation of big scientific data is crucial not only for scientific activity but also for the scientific discovery and dissemination within scientist network. The main objective of this research is to develop a service-oriented data citation system using data mining techniques for Middle East and North Africa scientists. A… Read full abstract & cite →

Scientific dataset web services wikipedia pangaea big data

Abstract doi.org/10.14569/IJACSA.2019.0100468 PDF

69

Software Abstractions for Large-Scale Deep Learning Models in Big Data Analytics

Author 1: Ayaz H Khan Author 2: Ali Mustafa Qamar Author 3: Aneeq Yusuf Author 4: Rehanullah Khan

The goal of big data analytics is to analyze datasets with a higher amount of volume, velocity, and variety for large-scale business intelligence problems. These workloads are normally processed with the distribution on massively parallel analytical systems. Deep learning is part of a broader family of machine learning methods based… Read full abstract & cite →

Big data deep learning deep auto-encoders Re-stricted Boltzmann Machines (RBM)

Abstract doi.org/10.14569/IJACSA.2019.0100469 PDF

70

Person Detection from Overhead View: A Survey

Author 1: Misbah Ahmad Author 2: Imran Ahmed Author 3: Kaleem Ullah Author 4: Iqbal khan Author 5: Ayesha Khattak Author 6: Awais Adnan

In recent years, overhead view based person detection gained importance, due to handling occlusion problem and providing better coverage in scene, as com-pared to frontal view. In computer vision, overhead based person detection holds significant importance in many appli-cations including person detection, person counting, person tracking, behavior analysis and occlusion… Read full abstract & cite →

Person detection background subtraction seg-mentation blob based techniques feature based techniques

Abstract doi.org/10.14569/IJACSA.2019.0100470 PDF

71

Towards a Context-Dependent Approach for Evaluating Data Quality Cost

Author 1: Meryam Belhiah Author 2: Bouchaïb Bounabat

Data-related expertise is a central and determining factor in the success of many organizations. Big Tech companies have developed an operational environment that extracts benefit from collected data to increase the efficiency and effectiveness of daily operations and services offered. However, in a complex economic environment, with transparent accounting and… Read full abstract & cite →

Data quality improvement project cost of data quality data quality assessment and improvement cost/benefit analysis

Abstract doi.org/10.14569/IJACSA.2019.0100471 PDF

72

Towards Usability Guidelines for the Design of Effective Arabic Websites

Author 1: Abdallah Namoun Author 2: Ahmad B. Alkhodre

The Arabic websites constitute 1% of the web content with more than 225 million viewers and 41% Internet penetration. However, there is a lack of design guidelines related to the selection and use of appropriate font type and size and images in Arabic websites. Both text and images are vital… Read full abstract & cite →

Arabic websites design principles font type font size readability legibility images graphics site performance

Abstract doi.org/10.14569/IJACSA.2019.0100472 PDF

73

Digital Certificate Exchange of Agricultural Products using SOAP Web Services

Author 1: Miyanda Chilikwela Author 2: Jackson Phiri

Developing countries have continued to experience a number of challenges in managing import and export certificate for various goods. In this paper, we are proposing a model for digital certificate exchange in an effort to improve the security levels of data exchange among the government organizations and the business community… Read full abstract & cite →

Digital certificate Rivest Shamir and Adleman (RSA) Simple Object Access Protocol (SOAP) web service model

Abstract doi.org/10.14569/IJACSA.2019.0100473 PDF

74

New Approach based on Model Driven Engineering for Processing Complex SPARQL Queries on Hive

Author 1: Mouad Banane Author 2: Abdessamad Belangour

Semantic web technologies are increasingly used in different domains. The core technology of the Semantic Web is the RDF standard. Today with the growth of RDF data it requires systems capable of handling these large volumes of data and responding to very complex requests at the join level, Several RDF… Read full abstract & cite →

SPARQL big data model driven engineering RDF

Abstract doi.org/10.14569/IJACSA.2019.0100474 PDF

75

Improved Cryptanalysis of Provable Certificateless Generalized Signcryption

Author 1: Abdul Waheed Author 2: Jawaid Iqbal Author 3: Nizamud Din Author 4: Shahab Ul Islam Author 5: Arif Iqbal Umar Author 6: Noor Ul Amin

Certificateless generalized signcryption adaptively work as certificateless signcryption, signature or encryption scheme having single algorithm for suitable storage-constrained environments. Recently, Zhou et al. proposed a novel Certificates generalized scheme, and proved its ciphertext indistinguishability under adaptive chosen ciphertext attacks (IND-CCA2) using Gap Bi-linear Diffie-Hellman and Computational Diffie-Hellman assumption as well… Read full abstract & cite →

Digital signature certificateless encryption cer-tificateless generalized signcryption malicious-but-passive KGC random oracle model

Abstract doi.org/10.14569/IJACSA.2019.0100475 PDF

76

Efficient Energy Utilization in Cloud Fog Environment

Author 1: Babur Hayat Malik Author 2: Muhammad Nauman Ali Author 3: Sheraz Yousaf Author 4: Mudassar Mehmood Author 5: Hammad Saleem

Cloud computing provides various kind of services like storage and processing that can be accessed on-demand when required. Despite its countless benefits, it incorporates some issues too that limits the full adaption of cloud and enjoy its various benefits. Mainly the issue faced during the adaptability of cloud infrastructure is… Read full abstract & cite →

Energy efficiency fog computing cloud computing load balancing resources allocation

Abstract doi.org/10.14569/IJACSA.2019.0100476 PDF