IJACSA Vol. 7 Issue 5 (2016)

1

A Hybrid Method to Predict Success of Dental Implants

Author 1: Reyhaneh Sadat Moayeri Author 2: Mehdi Khalili Author 3: Mahsa Nazari

Background/Objectives: The market demand for dental implants is growing at a significant pace. Results obtained from real cases shows that some dental implants do not lead to success. Hence, the main problem is whether machine learning techniques can be successful in prediction of success of dental implants. Methods/Statistical Analysis: This… Read full abstract & cite →

Data Mining Dental Implant W-J48 Neural Network K-NN Naïve Bayes SVM

Abstract doi.org/10.14569/IJACSA.2016.070501 PDF

2

ADBT Frame Work as a Testing Technique: An Improvement in Comparison with Traditional Model Based Testing

Author 1: Mohammed Akour Author 2: Bouchaib Falah Author 3: Karima Kaddouri

Software testing is an embedded activity in all software development life cycle phases. Due to the difficulties and high costs of software testing, many testing techniques have been developed with the common goal of testing software in the most optimal and cost-effective manner. Model-based testing (MBT) is used to direct… Read full abstract & cite →

Activity Diagram Black Box Testing Finite State Machine Model-Based Testing Software Testing Test Suite Test Case Use Case Diagram

Abstract doi.org/10.14569/IJACSA.2016.070502 PDF

3

Classified Arabic Documents Using Semi-Supervised Technique

Author 1: Dr. Khalaf Khatatneh

In this work, we test the performance of the Naïve Bayes classifier in the categorization of Arabic text. Arabic is rich and unique in its own way and has its own distinct features. The issues and characteristics of Arabic language are addressed in our study and the classifier was modified… Read full abstract & cite →

Arabic Language Naïve Bays Classifier Indexing Stop word

Abstract doi.org/10.14569/IJACSA.2016.070503 PDF

4

Geographical Information System Based Approach to Monitor Epidemiological Disaster: 2011 Dengue Fever Outbreak in Punjab, Pakistan

Author 1: Shahbaz Ahmad Author 2: Muhammad Asif Author 3: Muhammad Yasir Author 4: Shahzad Nazir Author 5: Muhammad Majid Author 6: Muhammad Umar Chaudhry

Epidemiological disaster management, using geo-informatics (GIS), is an innovative field of rapid information gathering. Dengue fever, a vector-borne disease, also known as break bone fever, is a lethal re-emerging arboviral disease. Its endemic flow is causing serious effects to the economy and health at the global level. Even now, many… Read full abstract & cite →

GIS Dengue Hemorrhagic fever Aedes aegypti

Abstract doi.org/10.14569/IJACSA.2016.070504 PDF

5

Towards Face Recognition Using Eigenface

Author 1: Md. Al-Amin Bhuiyan

This paper presents a face recognition system employing eigenface-based approach. The principal objective of this research is to extract feature vectors from images and to reduce the dimension of information. The method is implemented on frontal view facial images of persons to explore a two-dimensional representation of facial images. The… Read full abstract & cite →

Eigenvector Eigenface RMS Contrast Scaling Face Recognition

Abstract doi.org/10.14569/IJACSA.2016.070505 PDF

6

Empirical Analysis of Metrics Using UML Class Diagram

Author 1: Bhawana Mathur Author 2: Manju Kaushik

Lots of Organizations before they are setup survey the maintainability of programming frameworks. To give quality program design there exists a critical strategy called Object-Oriented Framework. Object–Oriented estimations might be utilized to study the judgment skills suite of a class diagram’s structure particularly programming valuations and how the models have… Read full abstract & cite →

UML Class diagram Maintainability Object Oriented System CK Metrics suite Model Software UML

Abstract doi.org/10.14569/IJACSA.2016.070506 PDF

7

A Reduced Switch Voltage Stress Class E Power Amplifier Using Harmonic Control Network

Author 1: Ali Reza Zirak Author 2: Sobhan Roshani

In this paper, a harmonic control network (HCN) is presented to reduce the voltage stress (maximum MOSFET voltage) of the class E power amplifier (PA). Effects of the HCN on the amplifier specifications are investigated. The results show that the proposed HCN affects several specifications of the amplifier, such as… Read full abstract & cite →

class E power amplifier harmonic control network (HCN) MOSFET drain Impedance ZVS and ZVDS conditions

Abstract doi.org/10.14569/IJACSA.2016.070507 PDF

8

Quizzes: Quiz Application Development Using Android-Based MIT APP Inventor Platform

Author 1: Muhammad Zubair Asghar Author 2: Iqra Sana Author 3: Khushboo Nasir Author 4: Hina Iqbal Author 5: Fazal Masud Kundi Author 6: Sadia Ismail

This work deals with the development of Android-based multiple-choice question examination system, namely: Quizzes. This application is developed for educational purposes, allowing the users to prepare the multiple choice questions for different examinations conducted on provincial and national level. The main goal of the application is to enable users to… Read full abstract & cite →

Quiz Android MIT App Inventor Interviews and test preparation

Abstract doi.org/10.14569/IJACSA.2016.070508 PDF

9

Performance of Spectral Angle Mapper and Parallelepiped Classifiers in Agriculture Hyperspectral Image

Author 1: Sahar A. El_Rahman

Hyperspectral Imaging (HSI) is used to provide a wealth of information which can be used to address a variety of problems in different applications. The main requirement in all applications is the classification of HSI data. In this paper, supervised HSI classification algorithms are used to extract agriculture areas that… Read full abstract & cite →

Accuracy Assessment ENVI Hyperspectral Imaging Parallelepiped Classifier Spectral Angel Mapper Supervised Classification

Abstract doi.org/10.14569/IJACSA.2016.070509 PDF

10

Identify and Manage the Software Requirements Volatility

Author 1: Khloud Abd Elwahab Author 2: Mahmoud Abd EL Latif Author 3: Sherif Kholeif

Management of software requirements volatility through development of life cycle is a very important stage. It helps the team to control significant impact all over the project (cost, time and effort), and also it keeps the project on track, to finally satisfy the user which is the main success criteria… Read full abstract & cite →

software requirements requirement errors requirements volatility reason for requirement changes and control changes

Abstract doi.org/10.14569/IJACSA.2016.070510 PDF

11

Carbon Break Even Analysis: Environmental Impact of Tablets in Higher Education

Author 1: Fadi Safieddine Author 2: Imad Nakhoul

With the growing pace of tablets use and the large focus it is attracting especially in higher education, this paper looks at an important aspect of tablets; their carbon footprint. Studies have suggested that tablets have positive impact on the environment; especially since tablets use less energy than laptops or… Read full abstract & cite →

Environmental Tablet Higher Education Carbon-footprint Break-even Analysis

Abstract doi.org/10.14569/IJACSA.2016.070511 PDF

12

Performance Analysis of Enhanced Interior Gateway Routing Protocol (EIGRP) Over Open Shortest Path First (OSPF) Protocol with Opnet

Author 1: Anibrika Bright Selorm Kodzo Author 2: Mustapha Adamu Mohammed Author 3: Ashigbi Franklin Degadzor Author 4: Michael Asante

Due to the increase in the easy accessibility of computers and mobile phones alike, routing has become indispensable in deciding how computes communicate especially modern computer communication networks. This paper presents performance analysis between EIGRP and OSPFP for real time applications using Optimized Network Engineering Tool (OPNET). In order to… Read full abstract & cite →

Routing Protocol Algorithm Throughput

Abstract doi.org/10.14569/IJACSA.2016.070512 PDF

13

Identify and Classify Critical Success Factor of Agile Software Development Methodology Using Mind Map

Author 1: Tasneem Abd El Hameed Author 2: Mahmoud Abd EL Latif Author 3: Sherif Kholief

Selecting the right method, right personnel and right practices, and applying them adequately, determine the success of software development. In this paper, a qualitative study is carried out among the critical factors of success from previous studies. The factors of success match with their relative principles to illustrate the most… Read full abstract & cite →

Agile success factor Agile principles

Abstract doi.org/10.14569/IJACSA.2016.070513 PDF

14

An Enhanced Framework with Advanced Study to Incorporate the Searching of E-Commerce Products Using Modernization of Database Queries

Author 1: Mohd Muntjir Author 2: Ahmad Tasnim Siddiqui

This study aims to inspect and evaluate the integration of database queries and their use in e-commerce product searches. It has been observed that e-commerce is one of the most prominent trends, which have been emerged in the business world, for the past decade. E-commerce has gained tremendous popularity, as… Read full abstract & cite →

E-Commerce Database Database Queries Integration Database Queries

Abstract doi.org/10.14569/IJACSA.2016.070514 PDF

15

IAX-JINGLE Network Architectures Based-One/Two Translation Gateways

Author 1: Hadeel Saleh Haj Aliwi Author 2: Putra Sumari

Nowadays, Multimedia Communication has improved rapidly to allow people to communicate via the Internet. However, Internet users cannot communicate with each other unless they use the same chatting applications since each chatting application uses a certain signaling protocol to make the media call. The interworking module is a very critical… Read full abstract & cite →

media conferencing VoIP interworking translation gateway IAX Jingle

Abstract doi.org/10.14569/IJACSA.2016.070515 PDF

16

Smoothness Measure for Image Fusion in Discrete Cosine Transform

Author 1: Radhika Vadhi Author 2: Veera Swamy Kilari Author 3: Srinivas Kumar Samayamantula

The aim of image fusion is to generate high-quality images using information from source images. The fused image contains more information than any of the source images. Image fusion using transforms is more effective than spatial methods. Statistical measures such as mean, contrast, and variance, are used in Discrete Cosine… Read full abstract & cite →

smoothness statistical measures DCT image fusion

Abstract doi.org/10.14569/IJACSA.2016.070516 PDF

17

The Factors of Subjective Voice Disorder Using Integrated Method of Decision Tree and Multi-Layer Perceptron Artificial Neural Network Algorithm

Author 1: Haewon Byeon Author 2: Sunghyoun Cho

The aim of the present study was to develop a prediction model for subjective voice disorders based on an artificial neural network algorithm and a decision tree using national statistical data. Subjects of analysis were 8,713 adults over the age of 19 (3,801 males and 4,912 females) who completed the… Read full abstract & cite →

Neural Networks Subjective Voice Disorder decision tree risk factor data-mining

Abstract doi.org/10.14569/IJACSA.2016.070517 PDF

18

SSH Honeypot: Building, Deploying and Analysis

Author 1: Harry Doubleday Author 2: Leandros Maglaras Author 3: Helge Janicke

This article is set to discuss the various techniques that can be used while developing a honeypot, of any form, while considering the advantages and disadvantages of these very different methods. The foremost aims are to cover the principles of the Secure Shell (SSH), how it can be useful and… Read full abstract & cite →

SSH Honeypot Cyber Security

Abstract doi.org/10.14569/IJACSA.2016.070518 PDF

19

MMO: Multiply-Minus-One Rule for Detecting & Ranking Positive and Negative Opinion

Author 1: Sheikh Muhammad Saqib Author 2: Fazal Masud Kundi

Hit and hot issue about reviews of any product is sentiment classification. Not only manufacturing company of the reviewed product takes decision about its quality, but the customers’ purchase of the product is also based on the reviews. Instead of reading all the reviews one by one, different works have… Read full abstract & cite →

Sentiment Classification Preprocessing Text Mining Sentiment Orientation

Abstract doi.org/10.14569/IJACSA.2016.070519 PDF

20

Improving Accelerometer-Based Activity Recognition by Using Ensemble of Classifiers

Author 1: Tahani Daghistani Author 2: Riyad Alshammari

In line with the increasing use of sensors and health application, there are huge efforts on processing of collected data to extract valuable information such as accelerometer data. This study will propose activity recognition model aim to detect the activities by employing ensemble of classifiers techniques using the Wireless Sensor… Read full abstract & cite →

Activity Recognition Sensors Smart phones accelerometer data Data mining Ensemble

Abstract doi.org/10.14569/IJACSA.2016.070520 PDF

21

A Multimodal Firefly Optimization Algorithm Based on Coulomb’s Law

Author 1: Taymaz Rahkar-Farshi Author 2: Sara Behjat-Jamal

In this paper, a multimodal firefly algorithm named the CFA (Coulomb Firefly Algorithm) has been presented based on the Coulomb’s law. The algorithm is able to find more than one optimum solution in the problem search space without requiring any additional parameter. In this proposed method, less bright fireflies would… Read full abstract & cite →

Swarm Intelligence multimodal firefly algorithm multimodal optimization firefly algorithm

Abstract doi.org/10.14569/IJACSA.2016.070521 PDF

22

The Impact of Privacy Concerns and Perceived Vulnerability to Risks on Users Privacy Protection Behaviors on SNS: A Structural Equation Model

Author 1: Noora Sami Al-Saqer Author 2: Mohamed E. Seliaman

This research paper investigates Saudi users’ awareness levels about privacy policies in Social Networking Sites (SNSs), their privacy concerns and their privacy protection measures. For this purpose, a research model that consists of five main constructs namely information privacy concern, awareness level of privacy policies of social networking sites, perceived… Read full abstract & cite →

Social networking sites (SNSs) information privacy concern perceived vulnerability SEM protection behavior

Abstract doi.org/10.14569/IJACSA.2016.070522 PDF

23

Assessment Model for Language Learners’ Writing Practice (in Preparing for TOEFL iBT) Based on Comparing Structure, Vocabulary, and Identifying Discrepant Essays

Author 1: Duc Huu Pham Author 2: Tu Ngoc Nguyen

This study aims to investigate if learners of English can improve computer-assisted writing skills through the analysis of the data from the post test. In this study, the focus was given to intermediate-level students of English taking final writing tests (integrated and independent responses) in preparation for TOEFL iBT. We… Read full abstract & cite →

Computer-assisted writing skills computerized scoring integrated and independent responses model posttest

Abstract doi.org/10.14569/IJACSA.2016.070523 PDF

24

Parallel and Distributed Genetic Algorithm with Multiple-Objectives to Improve and Develop of Evolutionary Algorithm

Author 1: Khalil Ibrahim Mohammad Abuzanouneh

In this paper, we argue that the timetabling problem reflects the problem of scheduling university courses, So you must specify the range of time periods and a group of instructors for a range of lectures to check a set of constraints and reduce the cost of other constraints ,this is… Read full abstract & cite →

Heterogeneous clusters NP-hard evolutionary multi-objective algorithm parallel algorithms Real-time scheduling

Abstract doi.org/10.14569/IJACSA.2016.070524 PDF

25

Gender Prediction for Expert Finding Task

Author 1: Daler Ali Author 2: Malik Muhammad Saad Missen Author 3: Nadeem Akhtar Author 4: Nadeem Salamat Author 5: Hina Asmat Author 6: Amnah Firdous

Predicting gender by names is one of the most interesting problems in the domain of Information Retrieval and expert finding task. In this research paper, we propose a machine learning approach for gender prediction task. We propose a new feature, that is, combination of letters in names which gives 86.54%… Read full abstract & cite →

Urdu Semantic Web Gender Prediction Expert Profiling Machine Learning

Abstract doi.org/10.14569/IJACSA.2016.070525 PDF

26

A Robust Approach for Action Recognition Based on Spatio-Temporal Features in RGB-D Sequences

Author 1: Ly Quoc Ngoc Author 2: Vo Hoai Viet Author 3: Tran Thai Son Author 4: Pham Minh Hoang

Recognizing human action is attractive research topic in computer vision since it plays an important role on the applications such as human-computer interaction, intelligent surveillance, human actions retrieval system, health care, smart home, robotics and so on. The availability the low-cost Microsoft Kinect sensor, which can capture real-time high-resolution RGB… Read full abstract & cite →

Action Recognition Depth Sequences GMM SVM Multiple Features Spatio-Temporal Features

Abstract doi.org/10.14569/IJACSA.2016.070526 PDF

27

Using Business Intelligence Tools for Predictive Analytics in Healthcare System

Author 1: Mihaela-Laura IVAN Author 2: Mircea Raducu TRIFU Author 3: Manole VELICANU Author 4: Cristian CIUREA

The scope of this article is to highlight how healthcare analytics can be improved using Business Intelligence tools. Healthcare system has learned from the previous lessons the necessity of using healthcare analytics for improving patient care, hospital administration, population growth and many others aspects. Business Intelligence solutions applied for the… Read full abstract & cite →

Healthcare Analytics Business Intelligence tools SAP HANA SAP Lumira SAP Predictive Analytics Birth Rate Big Data

Abstract doi.org/10.14569/IJACSA.2016.070527 PDF

28

NISHA: Novel Interface for Smart Home Applications for Arabic Regionsubtitle as Needed

Author 1: Muneer Bani Yassein Author 2: Yaser Khamayseh Author 3: Maryan Yatim

Researchers have developed many devices and applications for smart homes to control home’s appliances. The main goal of this research is to propose a touch-based interface (namely, NISHA) for smart homes to meet user needs and requirements and is able to control any appliance in the house. This study is… Read full abstract & cite →

Human Computer Interaction (HCI) HCI Design and evaluation methods User Interface Design User Centered Design Smart Homes

Abstract doi.org/10.14569/IJACSA.2016.070528 PDF

29

SIP Signaling Implementations and Performance Enhancement over MANET: A Survey

Author 1: Mazin Alshamrani Author 2: Haitham Cruickshank Author 3: Zhili Sun Author 4: Godwin Ansa Author 5: Feda Alshahwan

The implementation of the Session Initiation Protocol (SIP)-based Voice over Internet Protocol (VoIP) and multimedia over MANET is still a challenging issue. Many routing factors affect the performance of SIP signaling and the voice Quality of Service (QoS). Node mobility in MANET causes dynamic changes to route calculations, topology, hop… Read full abstract & cite →

SIP VoIP MANET Peer-to-Peer Back-to-Back User Agent (B2BUA) IMS

Abstract doi.org/10.14569/IJACSA.2016.070529 PDF

30

An Efficient Audio Classification Approach Based on Support Vector Machines

Author 1: Lhoucine Bahatti Author 2: Omar Bouattane Author 3: My Elhoussine Echhibat Author 4: Mohamed Hicham Zaggaf

In order to achieve an audio classification aimed to identify the composer, the use of adequate and relevant features is important to improve performance especially when the classification algorithm is based on support vector machines. As opposed to conventional approaches that often use timbral features based on a time-frequency representation… Read full abstract & cite →

Classification features selection timbre SVM IRMFSP RFE-SVM CQT

Abstract doi.org/10.14569/IJACSA.2016.070530 PDF

31

Educational Data Mining & Students’ Performance Prediction

Author 1: Amjad Abu Saa

It is important to study and analyse educational data especially students’ performance. Educational Data Mining (EDM) is the field of study concerned with mining educational data to find out interesting patterns and knowledge in educational organizations. This study is equally concerned with this subject, specifically, the students’ performance. This study… Read full abstract & cite →

Data Mining Education Students Performance Patterns

Abstract doi.org/10.14569/IJACSA.2016.070531 PDF

32

Performance Evaluation of 802.11p-Based Ad Hoc Vehicle-to-Vehicle Communications for Usual Applications Under Realistic Urban Mobility

Author 1: Patrick Sondi Author 2: Martine Wahl Author 3: Lucas Rivoirard Author 4: Ouafae Cohin

In vehicular ad hoc networks, participating vehicles organize themselves in order to support lots of emerging applications. While network infrastructure can be dimensioned correctly in order to provide quality of service support to both vehicle-to-vehicle and vehicle-to-infrastructure communications, there are still many issues to achieve the same performance using only… Read full abstract & cite →

V2V 802.11p QoS Urban mobility Simulation

Abstract doi.org/10.14569/IJACSA.2016.070532 PDF

33

An Efficient and Reliable Core-Assisted Multicast Routing Protocol in Mobile Ad-Hoc Network

Author 1: Faheem Khan Author 2: Sohail Abbas Author 3: Samiullah Khan

Mobile ad-hoc network is a collection of mobile nodes that are connected wirelessly forming random topology through decentralized administration. In Mobile ad-hoc networks, multicasting is one of the important mechanisms which can increase network efficiency and reliability by sending multiple copies in a single transmission without using several unicast transmissions… Read full abstract & cite →

MANET Core Mirror core Multicast routing Receiver initiated Mesh based routing NS2

Abstract doi.org/10.14569/IJACSA.2016.070533 PDF

34

Application of Fuzzy Abduction Technique in Aerospace Dynamics

Author 1: Sudipta Ghosh Author 2: Souvik Chatterjee Author 3: Binanda Kishore Mondal Author 4: Debasish Kundu

The purpose of this paper is to apply Fuzzy Abduction Technique in aerospace dynamical problem. A model of an aeroplane is proposed for consideration at different air density level of the atmosphere and at different speed of the plane. Different air density of the atmosphere, angle of wings and speed… Read full abstract & cite →

Fuzzy logic Fuzzy abduction Aerospace dynamics Inverse Fuzzy relation

Abstract doi.org/10.14569/IJACSA.2016.070534 PDF

35

Efficient Load Balancing Routing Technique for Mobile Ad Hoc Networks

Author 1: Mahdi Abdulkader Salem Author 2: Raghav Yadav

The mobile ad hoc network (MANET) is nothing but the wireless connection of mobile nodes which provides the communication and mobility among wireless nodes without the need of any physical infrastructure or centralized devices such as access point or base station. The communication in MANET is done by routing protocols… Read full abstract & cite →

AODV MANET Load balancing throughput packet delivery ratio routing overhead

Abstract doi.org/10.14569/IJACSA.2016.070535 PDF

36

Hybrid Deep Network and Polar Transformation Features for Static Hand Gesture Recognition in Depth Data

Author 1: Vo Hoai Viet Author 2: Tran Thai Son Author 3: Ly Quoc Ngoc

Static hand gesture recognition is an interesting and challenging problem in computer vision. It is considered a significant component of Human Computer Interaction and it has attracted many research efforts from the computer vision community in recent decades for its high potential applications, such as game interaction and sign language… Read full abstract & cite →

Hand Gesture Recognition Deep Network Polar Transformation Depth Data

Abstract doi.org/10.14569/IJACSA.2016.070536 PDF

37

Test Case Reduction Techniques - Survey

Author 1: Marwah Alian Author 2: Dima Suleiman Author 3: Adnan Shaout

Regression testing is considered to be the most expensive phase in software testing. Therefore, regression testing reduction eliminates the redundant test cases in the regression testing suite and saves cost of this phase. In order to validate the correctness of the new version software project that resulted from maintenance phase… Read full abstract & cite →

Regression testing Test case reduction Test Suite

Abstract doi.org/10.14569/IJACSA.2016.070537 PDF

38

Energy Provisioning Technique to Balance Energy Depletion and Maximize the Lifetime of Wireless Sensor Networks

Author 1: Hassan Hamid Ekal Author 2: Jiwa Bin Abdullah

With the promising technology of Wireless Sensor Networks (WSNs), lots of applications have been developed for monitoring and tracking in military, commercial, and educational environments. Characteristics of WSNs and resource limitation impose negative impacts on the performance and effectiveness of these applications. Imbalanced energy consumption among sensor nodes can significantly… Read full abstract & cite →

Wireless Sensor Network (WSN) Lifetime Node deployment Energy provisioning

Abstract doi.org/10.14569/IJACSA.2016.070538 PDF

39

Learning on High Frequency Stock Market Data Using Misclassified Instances in Ensemble

Author 1: Meenakshi A.Thalor Author 2: S.T. Patil

Learning on non-stationary distribution has been shown to be a very challenging problem in machine learning and data mining, because the joint probability distribution between the data and classes changes over time. Many real time problems suffer concept drift as they changes with time. For example, in stock market, the… Read full abstract & cite →

Classifiers Concept drift Data stream Ensemble Non-stationary Environment

Abstract doi.org/10.14569/IJACSA.2016.070539 PDF

40

Multi-Objective Task Scheduling in Cloud Computing Using an Imperialist Competitive Algorithm

Author 1: Majid Habibi Author 2: Nima Jafari Navimipour

Cloud computing is being welcomed as a new basis to manage and provide services on the internet. One of the reasons for increased efficiency of this environment is the appropriate structure of the tasks scheduler. Since the tasks scheduling in the cloud computing environment and distributed systems is an NP-hard… Read full abstract & cite →

Cloud Computing Tasks scheduling Imperialist Competitive Algorithm

Abstract doi.org/10.14569/IJACSA.2016.070540 PDF

41

Big Data Classification Using the SVM Classifiers with the Modified Particle Swarm Optimization and the SVM Ensembles

Author 1: Liliya Demidova Author 2: Evgeny Nikulchev Author 3: Yulia Sokolova

The problem with development of the support vector machine (SVM) classifiers using modified particle swarm optimization (PSO) algorithm and their ensembles has been considered. Solving this problem would allow fulfilling the high-precision data classification, especially Big Data classification, with the acceptable time expenditures. The modified PSO algorithm conducts a simultaneous… Read full abstract & cite →

Big Data classification ensemble SVM classifier kernel function type kernel function parameters particle swarm optimization algorithm regularization parameter support vectors

Abstract doi.org/10.14569/IJACSA.2016.070541 PDF

42

Nonlinear Condition Tolerancing Using Monte Carlo Simulation

Author 1: JOUILEL Naima Author 2: ELGADARI M’hammed Author 3: RADOUANI Mohammed Author 4: EL FAHIME Benaissa

To ensure accuracy and performance of the products, designers tend to hug the tolerances. While, manufacturers prefer to increase them in order to reduce costs and ensure competition. The analysis and synthesis of tolerances aim on studying their influence on conformity with functional requirements. This study may be conducted in… Read full abstract & cite →

Worst case tolerancing statistical tolerancing Monte Carlo simulation nonlinear condition slider crank system

Abstract doi.org/10.14569/IJACSA.2016.070542 PDF

43

AES Inspired Hex Symbols Steganography for Anti-Forensic Artifacts on Android Devices

Author 1: Somyia M. Abu Asbeh Author 2: Sarah M. Hammoudeh Author 3: Arab M. Hammoudeh

Mobile phones technology has become one of the most common and important technologies that started as a communication tool and then evolved into key reservoirs of personal information and smart applications. With this increased level of complications, increased dangers and increased levels of countermeasures and opposing countermeasures have emerged, such… Read full abstract & cite →

Mobile Forensics Anti-Forensics Artifact Wiping Data Hiding Steganography AES

Abstract doi.org/10.14569/IJACSA.2016.070543 PDF

44

Implementation of Novel Medical Image Compression Using Artificial Intelligence

Author 1: Mohammad Al-Rababah Author 2: Abdusamad Al-Marghirani

The medical image processing process is one of the most important areas of research in medical applications in digitized medical information. A medical images have a large sizes. Since the coming of digital medical information, the important challenge is to care for the conduction and requirements of huge data, including… Read full abstract & cite →

Medical image lossless Compression lifting wavelets CDF9/7 Lifting scheme SPIHT coding

Abstract doi.org/10.14569/IJACSA.2016.070544 PDF

45

EDAC: A Novel Energy-Aware Clustering Algorithm for Wireless Sensor Networks

Author 1: Ahmad A. Ababneh Author 2: Ebtessam Al-Zboun

Clustering is a useful technique for reducing energy consumption in wireless sensor networks (WSN). To achieve a better network lifetime performance, different clustering algorithms use various parameters for cluster head (CH) selection. For example, the sensor's own residual energy as well as the network's total residual energy are used. In… Read full abstract & cite →

Clustering algorithms Sensor networks

Abstract doi.org/10.14569/IJACSA.2016.070545 PDF

46

Artificial Neural Networks and Support Vector Machine for Voice Disorders Identification

Author 1: Nawel SOUISSI Author 2: Adnane CHERIF

The diagnosis of voice diseases through the invasive medical techniques is an efficient way but it is often uncomfortable for patients, therefore, the automatic speech recognition methods have attracted more and more interest recent years and have known a real success in the identification of voice impairments. In this context… Read full abstract & cite →

Automatic Speech Recognition (ASR) Pathological voices Artificial Neural Networks (ANN) Support Vector Machine (SVM) Linear Discriminant Analysis (LDA) Mel Frequency Cepstral Coefficients (MFCC)

Abstract doi.org/10.14569/IJACSA.2016.070546 PDF

47

Evaluating Damage Potential in Security Risk Scoring Models

Author 1: Eli Weintraub

A Continuous Monitoring System (CMS) model is presented, having new improved capabilities. The system is based on the actual real-time configuration of the system. Existing risk scoring models assume damage potential is estimated by systems' owner, thus rejecting the information relying in the technological configuration. The assumption underlying this research… Read full abstract & cite →

CVSS security risk management configuration Continuous Monitoring vulnerability damage potential risk scoring

Abstract doi.org/10.14569/IJACSA.2016.070547 PDF

48

Conservative Noise Filters

Author 1: Mona M.Jamjoom Author 2: Khalil El Hindi

Noisy training data have a huge negative impact on machine learning algorithms. Noise-filtering algorithms have been proposed to eliminate such noisy instances. In this work, we empirically show that the most popular noise-filtering algorithms have a large False Positive (FP) error rate. In other words, these noise filters mistakenly identify… Read full abstract & cite →

component Instance Reduction Techniques Instance-Based Learning Class noise Noise Filter Naive Bayesian Outlier False Positive

Abstract doi.org/10.14569/IJACSA.2016.070548 PDF

49

Awareness Training Transfer and Information Security Content Development for Healthcare Industry

Author 1: Arash Ghazvini Author 2: Zarina Shukur

Electronic Health Record (EHR) becomes increasingly pervasive and the need to safeguard EHR becomes more vital for healthcare organizations. Human error is known as the biggest threat to information security in Electronic Health Systems that can be minimized through awareness training programs. There are various techniques available for awareness of… Read full abstract & cite →

information security human error awareness training program training content security policy electronic health record

Abstract doi.org/10.14569/IJACSA.2016.070549 PDF

50

Face Detection and Recognition Using Viola-Jones with PCA-LDA and Square Euclidean Distance

Author 1: Nawaf Hazim Barnouti Author 2: Sinan Sameer Mahmood Al-Dabbagh Author 3: Wael Esam Matti Author 4: Mustafa Abdul Sahib Naser

In this paper, an automatic face recognition system is proposed based on appearance-based features that focus on the entire face image rather than local facial features. The first step in face recognition system is face detection. Viola-Jones face detection method that capable of processing images extremely while achieving high detection… Read full abstract & cite →

Face Detection Face Recognition PCA LDA Viola-Jones Feature Extraction Distance Measurement MATLAB MUCT Face94 Grimace

Abstract doi.org/10.14569/IJACSA.2016.070550 PDF

51

Data Mining Framework for Generating Sales Decision Making Information Using Association Rules

Author 1: Md. Humayun Kabir

The rapid technological development in the field of information and communication technology (ICT) has enabled the databases of super shops to be organized under a countrywide sales decision making network to develop intelligent business systems by generating enriched business policies. This paper presents a data mining framework for generating sales… Read full abstract & cite →

databases data mining framework Apriori algorithm association rule sales decision making information

Abstract doi.org/10.14569/IJACSA.2016.070551 PDF

52

A Reversible Data Hiding Scheme for BTC-Compressed Images

Author 1: Ching-Chiuan Lin Author 2: Shih-Chieh Chen Author 3: Kuo Feng Hwang Author 4: Chi-Ming Yao

This paper proposes a reversible data hiding scheme for BTC-compressed images. A block in the BTC-compressed image consists of a larger block-mean pixel and a smaller block-mean pixel. Two message bits are embedded into a pair of neighboring blocks. One is embedded by expanding the difference between the two larger… Read full abstract & cite →

Block Truncation Coding Reversible Data Hiding Difference Expansion

Abstract doi.org/10.14569/IJACSA.2016.070552 PDF

53

Delay-Decomposition Stability Approach of Nonlinear Neutral Systems with Mixed Time-Varying Delays

Author 1: Ilyes MAZHOUD Author 2: Issam AMRI Author 3: Dhaou SOUDANI

This paper deals with the asymptotic stability of neutral systems with mixed time-varying delays and nonlinear perturbations. Based on the Lyapunov–Krasovskii functional including the triple integral terms and free weighting matrices approach, a novel delay-decomposition stability criterion is obtained. The main idea of the proposed method is to divide each… Read full abstract & cite →

Neutral systems Lyapunov–Krasovskii approach asymptotic stability mixed time-varying delays nonlinear perturbations Linear Matrix Inequalities (LMIs)

Abstract doi.org/10.14569/IJACSA.2016.070553 PDF

54

Analyzing Virtual Machine Live Migration in Application Data Context

Author 1: Mutiullah Shaikh Author 2: Asadullah Shaikh Author 3: Muhammad Ali Memon Author 4: Farah Deeba

Virtualization plays a very vital role in the big cloud federation. Live and Real-time virtual machine migration is always a challenging task in virtualized environment, different approaches, techniques and models have already been presented and implemented by many re- searchers. The aim of this work is to investigate various parameters… Read full abstract & cite →

component Cloud Computing Virtualization Virtual Machine Monitor VMM Xen VMResume Xen Save and Restore DC Data Centers Copy on Write CoW

Abstract doi.org/10.14569/IJACSA.2016.070554 PDF

55

Survey of Techniques for Deep Web Source Selection and Surfacing the Hidden Web Content

Author 1: Khushboo Khurana Author 2: M.B. Chandak

Large and continuously growing dynamic web content has created new opportunities for large-scale data analysis in the recent years. There is huge amount of information that the traditional web crawlers cannot access, since they use link analysis technique by which only the surface web can be accessed. Traditional search engine… Read full abstract & cite →

Deep Web Surfacing Deep Web Source Selection Deep Web Crawler Schema Matching

Abstract doi.org/10.14569/IJACSA.2016.070555 PDF

56

Optimization of Channel Coding for Transmitted Image Using Quincunx Wavelets Transforms Compression

Author 1: Mustapha Khelifi Author 2: Abdelmounaim Moulay Lakhdar Author 3: Iman Elawady

Many images you see on the Internet today have undergone compression for various reasons. Image compression can benefit users by having pictures load faster and webpages use up less space on a Web host. Image compression does not reduce the physical size of an image but instead compresses the data… Read full abstract & cite →

Code Rate Optimization Quincunx Wavelets Transforms compression Genetic Algorithm BSC channel Reed-Solomon codes

Abstract doi.org/10.14569/IJACSA.2016.070556 PDF

57

Fault-Tolerant Fusion Algorithm of Trajectory and Attitude of Spacecraft Based on Multi-Station Measurement Data

Author 1: YANG Xiaoyan Author 2: HU Shaolin Author 3: YU Hui Author 4: LI Shaomini Xi’an

Aiming at the practical situation that the navigation processes of spacecrafts usually rely on several different kinds of tracking equipments which track the spacecraft by turns, a series of new outlier-tolerant fusion algorithms are build to determine the whole flight path as well as attitude parameters. In these new algorithms… Read full abstract & cite →

trajectory fault-tolerance data fusion

Abstract doi.org/10.14569/IJACSA.2016.070557 PDF

58

Discrete-Time Approximation for Nonlinear Continuous Systems with Time Delays

Author 1: Bemri H’mida Author 2: Soudani Dhaou

This paper is concerned with the discretization of nonlinear continuous time delay systems. Our approach is based on Taylor-Lie series. The main idea aims to minimize the effect of the delay and neglects the importance of nonlinear parameter by the linearization of the system study in an attempt to make… Read full abstract & cite →

Discrete-time systems Time-delay systems Taylor-Lie series non-linear systems Simulation

Abstract doi.org/10.14569/IJACSA.2016.070558 PDF

59

New Data Clustering Algorithm (NDCA)

Author 1: Abdullah Abdulkarem Author 2: Imane Aly Saroit Ismail Author 3: Amira Mohammed Kotb

Wireless sensor networks (WSNs) have sensing, data processing and communicating capabilities. The major task of the sensor node is to gather the data from the sensed field and send it to the end user via the base station (BS). To satisfy the scalability and prolong the network lifetime the sensor… Read full abstract & cite →

Wireless sensor network clustering energy efficiency cluster head selection

Abstract doi.org/10.14569/IJACSA.2016.070559 PDF

60

Load Balancing in Partner-Based Scheduling Algorithm for Grid Workflow

Author 1: Muhammad Roman Author 2: Jawad Ashraf Author 3: Asad Habib Author 4: Gohar Ali

Automated advance reservation has the potential to ensure a good scheduling solution in computational Grids. To improve global throughput of Grid system and enhance resource utilization, workload has to be distributed among the resources of the Grid evenly. This paper discusses the problem of load distribution and resource utilization in… Read full abstract & cite →

Load Balancing Advance Reservation Resource Utilization Workflow Scheduling Job Distribution

Abstract doi.org/10.14569/IJACSA.2016.070560 PDF

61

TMCC: An Optimal Mechanism for Congestion Control in Wireless Sensor Networks

Author 1: Razieh Golgiri Author 2: Reza Javidan

Most proposed methods for congestion control of Wireless Sensor Networks (WSNs) have disadvantages such as central congestion control mechanism through the sink node, using only one traffic control or resource control mechanism and also having the same throughput on all nodes. For the purpose of addressing these problems, in this… Read full abstract & cite →

Wireless Sensor Network (WSN) traffic management resource control alternative path QoS TMCC

Abstract doi.org/10.14569/IJACSA.2016.070561 PDF

62

Static Filtered Sky Color Constancy

Author 1: Ali Alkhalifah

In Computer Vision, the sky color is used for lighting correction, image color enhancement, horizon alignment, image indexing, and outdoor image classification and in many other applications. In this article, for robust color based sky segmentation and detection, usage of lighting correction for sky color detection is investigated. As such… Read full abstract & cite →

Static Filter Color Constancy LAB color space Sky Color Detection Horizon detection

Abstract doi.org/10.14569/IJACSA.2016.070562 PDF

63

An Approach to Finding Similarity Between Two Community Graphs Using Graph Mining Techniques

Author 1: Bapuji Rao Author 2: Saroja Nanda Mishra

Graph similarity has studied in the fields of shape retrieval, object recognition, face recognition and many more areas. Sometimes it is important to compare two community graphs for similarity which makes easier for mining the reliable knowledge from a large community graph. Once the similarity is done then, the necessary… Read full abstract & cite →

community graph compressed community graph dissimilar edges self-loop similar edges weighted adjacency matrix

Abstract doi.org/10.14569/IJACSA.2016.070563 PDF

64

A New Approach for Enhancing the Quality of Medical Computerized Tomography Images

Author 1: Mutaz Al-Frejat Author 2: Mohammad HjoujBtoush

Computerized tomography (CT) images contribute immensely to medical research and diagnosis. However, due to degradative factors such as noise, low contrast, and blurring, CT images tend to be a degraded representation of the actual body or part under investigation. To reduce the risk of imprecise diagnosis associated with poor-quality CT… Read full abstract & cite →

Spatial domain CT image Laplacian filter MedPix database Lung nodules

Abstract doi.org/10.14569/IJACSA.2016.070564 PDF

65

An Enhencment Medical Image Compression Algorithm Based on Neural Network

Author 1: Manel Dridi Author 2: Mohamed Ali Hajjaji Author 3: Belgacem Bouallegue Author 4: Abdellatif Mtibaa

The main objective of medical image compression is to attain the best possible fidelity for an available communication and storage [6], in order to preserve the information contained in the image and does not have an error when they are processing it. In this work, we propose a medical image… Read full abstract & cite →

Artificial Neural Network medical image compression DICOM PSNR CR

Abstract doi.org/10.14569/IJACSA.2016.070565 PDF

66

A QoS Solution for NDN in the Presence of Congestion Control Mechanism

Author 1: Abdullah Alshahrani Author 2: Izzat Alsmadi

Both congestion control and Quality of Service (QoS) are important quality attributes in computer networks. Specifically, for the future Internet architecture known as Named Data Networking (NDN), solutions using hop-by-hop interest shaping have shown to cope with the traffic congestion issue. Ad-hoc techniques for implementing QoS in NDN have been… Read full abstract & cite →

Named Data Networking Quality of Service Con-gestion Control

Abstract doi.org/10.14569/IJACSA.2016.070566 PDF

67

An Algorithmic approach for abstracting transient states in timed systems

Author 1: Mohammed Achkari Begdouri Author 2: Houda Bel Mokadem Author 3: Mohamed El Haddad

In previous works, the timed logic TCTL was extended with importants modalities, in order to abstract transient states that last for less than k time units. For all modalities of this extension, called TCTL?, the decidability of the model-checking problem has been proved with an appropriate extension of Alur and… Read full abstract & cite →

Timed automata symbolic model checking back-ward analysis algorithm correctness data structures

Abstract doi.org/10.14569/IJACSA.2016.070567 PDF

68

Automatic Diagnosing of Suspicious Lesions in Digital Mammograms

Author 1: Abdelali ELMOUFIDI Author 2: Khalid El Fahssi Author 3: Said Jai-andaloussi Author 4: Abderrahim Sekkaki Author 5: Gwenole Quellec Author 6: Mathieu Lamard Author 7: Guy Cazuguel

Breast cancer is the most common cancer and the leading cause of morbidity and mortality among women’s age between 50 and 74 years across the worldwide. In this paper we’ve proposed a method to detect the suspicious lesions in mammograms, extracting their features and classify them as Normal or Abnormal… Read full abstract & cite →

Breast cancer Mammogram Computer-aided diagnosis Segmentation Regions of interest Support Vector Machine FROC analysis ROC analysis

Abstract doi.org/10.14569/IJACSA.2016.070568 PDF

69

Detection and Counting of On-Tree Citrus Fruit for Crop Yield Estimation

Author 1: Zeeshan Malik Author 2: Sheikh Ziauddin Author 3: Ahmad R. Shahid Author 4: Asad Safi

In this paper, we present a technique to estimate citrus fruit yield from the tree images. Manually counting the fruit for yield estimation for marketing and other managerial tasks is time consuming and requires human resources, which do not always come cheap. Different approaches have been used for the said… Read full abstract & cite →

Precision agriculture yield estimation k-means segmentation leaf occlusion illumination morphology

Abstract doi.org/10.14569/IJACSA.2016.070569 PDF

70

Diversity-Based Boosting Algorithm

Author 1: Jafar A. Alzubi

Boosting is a well known and efficient technique for constructing a classifier ensemble. An ensemble is built incrementally by altering the distribution of training data set and forcing learners to focus on misclassification errors. In this paper, an improvement to Boosting algorithm called DivBoosting algorithm is proposed and studied. Experiments… Read full abstract & cite →

Artificial Intelligence Classification Boosting Di-versity Game Theory

Abstract doi.org/10.14569/IJACSA.2016.070570 PDF

71

Efficient Verification-Driven Slicing of UML/OCL Class Diagrams

Author 1: Asadullah Shaikh Author 2: Uffe Kock Wiil

Model defects are a significant concern in the Model-Driven Development (MDD) paradigm, as model trans-formations and code generation may propagate errors present in the model to other notations where they are harder to detect and trace. Formal verification techniques can check the correctness of a model, but their high computational… Read full abstract & cite →

MDD UML OCL Model Slicing Efficient Verification

Abstract doi.org/10.14569/IJACSA.2016.070571 PDF

72

NEB in Analysis of Natural Image 8 × 8 and 9 × 9 High-contrast Patches

Author 1: Shengxiang Xia Author 2: Wen Wang

In this paper we use the nudged elastic band tech-nique from computational chemistry to investigate sampled high-dimensional data from a natural image database. We randomly sample 8 × 8 and 9 × 9 high-contrast patches of natural images and create a density estimator believed as a Morse function. By the… Read full abstract & cite →

nudged elastic band natural image high-contrast patch cell complex density function

Abstract doi.org/10.14569/IJACSA.2016.070572 PDF

73

Object Conveyance Algorithm for Multiple Mobile Robots based on Object Shape and Size

Author 1: Purnomo Sejati Author 2: Hiroshi Suzuki Author 3: Takahiro Kitajima Author 4: Akinobu Kuwahara Author 5: Takashi Yasuno

This paper describes a determination method of a number of a team for multiple mobile robot object conveyance. The number of robot on multiple mobile robot systems is the factor of complexity on robots formation and motion control. In our previous research, we verified the use of the complex-valued neural… Read full abstract & cite →

multiple mobile robots object conveyance team member determination

Abstract doi.org/10.14569/IJACSA.2016.070573 PDF

74

On the Use of Arabic Tweets to Predict Stock Market Changes in the Arab World

Author 1: Khalid AlKhatib Author 2: Abdullateef Rabab’ah Author 3: Mahmoud Al-Ayyoub Author 4: Yaser Jararweh

Social media users nowadays express their opinions and feelings about many event occurring in their lives. For certain users, some of the most important events are the ones related to the financial markets. An interesting research field emerged over the past decade to study the possible relationship between the fluctuation… Read full abstract & cite →

Twitter Sentiment Analysis Granger Causality Pearson Correlation Arab Stock Market

Abstract doi.org/10.14569/IJACSA.2016.070574 PDF

75

Optical Character Recognition System for Urdu Words in Nastaliq Font

Author 1: Safia Shabbir Author 2: Imran Siddiqi

Optical Character Recognition (OCR) has been an attractive research area for the last three decades and mature OCR systems reporting near to 100% recognition rates are available for many scripts/languages today. Despite these develop-ments, research on recognition of text in many languages is still in its early days, Urdu being… Read full abstract & cite →

Optical Character Recognition Urdu Text Liga-tures Hidden Markov Models Clustering

Abstract doi.org/10.14569/IJACSA.2016.070575 PDF

76

Semantic Feature Based Arabic Opinion Mining Using Ontology

Author 1: Abdullah M. Alkadri Author 2: Abeer M. ElKorany

with the increase of opinionated reviews on the web, automatically analyzing and extracting knowledge from those reviews is very important. However, it is a challenging task to be done manually. Opinion mining is a text mining discipline that automatically performs such a task. Most researches done in this field were… Read full abstract & cite →

Opinion Mining Sentimental Analysis Ontology Feature extraction Polarity identification

Abstract doi.org/10.14569/IJACSA.2016.070576 PDF

77

The Information-Seeking Problem in Human-Technology Interaction

Author 1: Mohammad Alsulami Author 2: Asadullah Shaikh

In the history of information-seeking, the intention of a query and the posed query have some level of distance between them. Because human query-responders are innately connected to times and trends and have the ability to understand natural language and human intention, they have often been the idealistic sources of… Read full abstract & cite →

Information seeking seeking problem in HCI HCI Information seeking

Abstract doi.org/10.14569/IJACSA.2016.070577 PDF

78

Virtual Heterogeneous Model Integration Layer

Author 1: Muhammad Ali Memon Author 2: Asadullah Shaikh Author 3: Khizer Hayat Author 4: Mutiullah Shaikh

The classic way of building a software today sim-plistically consists in connecting a piece of code calling a method with the piece of code implementing that method. We consider these piece of code (software systems) not calling anything, behaving in a non deterministic way and providing complex sets of services… Read full abstract & cite →

Model Driven Engineering Co-evolution Co-adaptation Delta models Model Integration

Abstract doi.org/10.14569/IJACSA.2016.070578 PDF

79

A Survey of Cloud Migration Methods: A Comparison and Proposition

Author 1: Khadija SABIRI Author 2: Faouzia BENABBOU Author 3: Mustapha HAIN Author 4: Hicham MOUTACHAOUIK Author 5: Khalid AKODADI

Along with the significant advantages of cloud computing paradigm, the number of enterprises, which expect to move a legacy system towards a cloud, is steadily increasing. Unfortunately, this move is not straightforward. There are many challenges to take up. The applications are often written with the outdated technologies. While some… Read full abstract & cite →

Application on premise Migration methods Cloud migration Method PIM PSM ADM

Abstract doi.org/10.14569/IJACSA.2016.070579 PDF