IJACSA Vol. 8 Issue 7 (2017)

1

A Better Comparison Summary of Credit Scoring Classification

Author 1: Sharjeel Imtiaz Author 2: Allan J. Brimicombe

The credit scoring aim is to classify the customer credit as defaulter or non-defaulter. The credit risk analysis is more effective with further boosting and smoothing of the parameters of models. The objective of this paper is to explore the credit score classification models with an imputation technique and without… Read full abstract & cite →

Credit score data mining classification artifical neural network imputation

Abstract doi.org/10.14569/IJACSA.2017.080701 PDF

2

MobisenseCar: A Mobile Crowd-Based Architecture for Data Acquisition and Processing in Vehicle-Based Sensing

Author 1: Lionel Nkenyereye Author 2: Jong Wook Jang

The use of wireless technology via smartphone allows designing smartphone applications based on OBD-II for increasing environment sensing. However, uploading of vehicle’s diagnostics data via car driver’s tethered smart phone attests a long Internet latency when a large number of concurrent users use the remote mobile crowdsensing server application simultaneously… Read full abstract & cite →

Mobile crowdsensing data processing web services hadoop hiveQL OBD-II

Abstract doi.org/10.14569/IJACSA.2017.080702 PDF

3

Impedance Matching of a Microstrip Antenna

Author 1: Sameh Khmailia Author 2: Hichem Taghouti Author 3: Sabri Jmal Author 4: Abdelkader Mami

Microstrip patch antennas play a very significant role in communication systems. In recent years, the study to improve their performances has made great progression, and different methods have been proposed to optimize their characteristics such as the gain, the bandwidth, the impedance matching and the resonance frequency. This paper presents… Read full abstract & cite →

Impedance matching microstrip antenna “L” matching network bond graph model principle of causality wave matrix scattering matrix transmission and reflection characteristics

Abstract doi.org/10.14569/IJACSA.2017.080703 PDF

4

Development of A Clinically-Oriented Expert System for Differentiating Melanocytic from Non-melanocytic Skin Lesions

Author 1: Qaisar Abbas

Differentiating melanocytic from non-melanocytic (MnM) skin lesions is the first and important step required by clinical experts to automatically diagnosis pigmented skin lesions (PSLs). In this paper, a new clinically-oriented expert system (COE-Deep) is presented for automatic classification of MnM skin lesions through deep-learning algorithms without focusing on pre- or… Read full abstract & cite →

Skin cancer melanocytic non-melanocytic dermoscopy deep learning convolutional neural network stack-based autoencoders

Abstract doi.org/10.14569/IJACSA.2017.080704 PDF

5

Feature Selection and Extraction Framework for DNA Methylation in Cancer

Author 1: Abeer A. Raweh Author 2: Mohammad Nassef Author 3: Amr Badr

Feature selection methods for cancer classification are aimed to overcome the high dimensionality of the biomedical data which is a challenging task. Most of the feature selection methods based on DNA methylation are time consuming during testing phase to identify the best pertinent features subset that are relevant to accurate… Read full abstract & cite →

DNA methylation feature selection feature extraction cancer classification epigenetics biomarkers hypomethylation hypermethylation methylation

Abstract doi.org/10.14569/IJACSA.2017.080705 PDF

6

Research Pathway towards MAC Protocol in Enhancing Network Performance in Wireless Sensor Network (WSN)

Author 1: Anitha K Author 2: Usha S

The applications and utility of Wireless Sensor Network (WSN) have increased its pace in making an entry to the commercial market since the last five years. It has successfully established its association with Internet-of-Things (IoT) and other reconfigurable networks. However, in this advent of exponential progress in technology, WSN still… Read full abstract & cite →

Delay energy issues latency MAC protocol scalability Wireless Sensor Network (WSN)

Abstract doi.org/10.14569/IJACSA.2017.080706 PDF

7

Reduced-Latency and Area-Efficient Architecture for FPGA-Based Stochastic LDPC Decoders

Author 1: Ghania Zerari Author 2: Abderrezak Guessoum

This paper introduces a new field programmable gate array (FPGA) based stochastic low-density parity-check (LDPC) decoding process, to implement fully parallel LDPC-decoders. The proposed technique is designed to optimize the FPGA logic utilisation and to decrease the decoding latency. In order to reduce the complexity, the variable node (VN) output… Read full abstract & cite →

Stochastic decoding low-density parity-check (LDPC) decoder field programmable gate array (FPGA)

Abstract doi.org/10.14569/IJACSA.2017.080707 PDF

8

Towards an SOA Architectural Model for AAL-Paas Design and Implimentation Challenges

Author 1: El murabet Amina Author 2: Abtoy Anouar Author 3: Abdellah Touhafi Author 4: Abderahim Tahiri

Ambient Assisted Living (AAL) systems main purpose is to improve the quality of life of special groups of people, including the elderly and people with physical disabilities. Driven by the critical ongoing changes in all modern, industrialized countries, there is a huge interest in IT-based equipment and services these days… Read full abstract & cite →

Ambient Assisted Living (AAL) Ambient Assisted Living Platform as a Service (AAL-PaaS) Service Oriented Architecture (SOA) Wireless Sensors Network (WSN)

Abstract doi.org/10.14569/IJACSA.2017.080708 PDF

9

Core Levels Algorithm for Optimization: Case of Microwave Models

Author 1: Ali Haydar Author 2: Ezgi Deniz Ülker Author 3: Kamil Dimililer Author 4: Sadik Ülker

Metaheuristic algorithms are investigated and used by many researchers in different areas. It is crucial to find optimal solutions for all problems under study especially for the ones which require sensitive optimization. Especially, for real case problems, solution quality and convergence speed of the algorithms are highly desired characteristics. In… Read full abstract & cite →

Metaheuristic algorithms evolutionary algorithms microwave circuits optimization

Abstract doi.org/10.14569/IJACSA.2017.080709 PDF

10

A Proposed Adaptive Scheme for Arabic Part-of Speech Tagging

Author 1: Mohammad Fasha

This paper presents an Arabic-compliant part-of-speech (POS) tagging scheme based on using atomic tag markers that are grouped together using brackets. This scheme promotes the speedy production of annotations while preserving the richness of resultant annotations. The proposed scheme is comprised of two main elements, a new tokenization approach and… Read full abstract & cite →

Arabic natural language processing (ANLP) part-of-speech (POS) tagging part-of-speech tokenization scheme morpho-syntactic tagging Arabic declension system

Abstract doi.org/10.14569/IJACSA.2017.080710 PDF

11

The Performance of the Bond Graph Approach for Diagnosing Electrical Systems

Author 1: Dhia Mzoughi Author 2: Abderrahmene Sallami Author 3: Abdelkader Mami

The increasing complexity of automated industrial systems, the constraints of competitiveness in terms of cost of production and facility security have mobilized in the last years a large community of researchers to improve the monitoring and the diagnosis of this type of processes. This work proposes a reliable and efficient… Read full abstract & cite →

Bond graph faults detection and isolation electrical system analytical redundancy relations

Abstract doi.org/10.14569/IJACSA.2017.080711 PDF

12

Application of the Tabu Search Algorithm to Cryptography

Author 1: Zakaria KADDOURI Author 2: Fouzia OMARY

Tabu search is a powerful algorithm that has been applied with great success to many difficult combinatorial problems. In this paper, we have designed and implemented a symmetrical encryption algorithm whose internal structure is mainly based on Tabu search algorithm. This heuristic performs multiple searches among different solutions and stores… Read full abstract & cite →

Symmetric encryption heuristic Tabu search algorithm scheduling problem combinatorial problems

Abstract doi.org/10.14569/IJACSA.2017.080712 PDF

13

Hearing Aid Method by Equalizing Frequency Response of Phoneme Extracted from Human Voice

Author 1: Kohei Arai Author 2: Takuto Konishi

Hearing aid method by equalizing frequency response of phoneme which is extracted from human voice is proposed. One of the problems of the existing hearing aid is poor customization of the frequency response compensation. Frequency response characteristics are different by the person who need hearing aid. The proposed hearing aid… Read full abstract & cite →

Hearing aid phoneme frequency response equalization filter hidden markov model (HMM)

Abstract doi.org/10.14569/IJACSA.2017.080713 PDF

14

New Divide and Conquer Method on Endmember Extraction Techniques

Author 1: Ihab Samir Author 2: Bassam Abdellatif Author 3: Amr Badr

In hyperspectral imagery, endmember extraction (EE) is a main stage in hyperspectral unmixing process where its role lies in extracting distinct spectral signature, endmembers, from hyperspectral image which is considered as the main input for unsupervised hyperspectral unmixing to generate the abundance fractions for every pixel in hyperspectral data. EE… Read full abstract & cite →

Endmember extraction algorithm (EEA) endmember extraction (EE) automatic target generation process (ATGP) hyperspectral imagery simplex growing algorithm (SGA) hyperspectral unmixing vertex component analysis (VCA) divide and conquer method

Abstract doi.org/10.14569/IJACSA.2017.080714 PDF

15

Real-Time Analysis of Students’ Activities on an E-Learning Platform based on Apache Spark

Author 1: Abdelmajid Chaffai Author 2: Larbi Hassouni Author 3: Houda Anoun

Real time analytics is the capacity to extract valuables insights from data that comes continuously from activities on the web or network sensors. It is largely used in web based business to drive decisions based on user’s experiences, such dynamic pricing and personalized advertising. Many universities have adopted web based… Read full abstract & cite →

Real time analytics e-learning big data Hadoop spark Moodle change data capture streaming data visualization clustering

Abstract doi.org/10.14569/IJACSA.2017.080715 PDF

16

Reducing Dimensionality in Text Mining using Conjugate Gradients and Hybrid Cholesky Decomposition

Author 1: Jasem M. Alostad

Generally, data mining in larger datasets consists of certain limitations in identifying the relevant datasets for the given queries. The limitations include: lack of interaction in the required objective space, inability to handle the data sets or discrete variables in datasets, especially in the presence of missing variables and inability… Read full abstract & cite →

Data mining non-integer matrix factorization Cholesky decomposition conjugate gradient algorithm

Abstract doi.org/10.14569/IJACSA.2017.080716 PDF

17

An Efficient Distributed Traffic Events Generator for Smart Highways

Author 1: Abdelaziz Daaif Author 2: Omar Bouattane Author 3: Mohamed Youssfi Author 4: Oum El Kheir Abra

This paper deals with a spatiotemporal traffic events generator for real highway networks. The goal is to use the event generator to test real-time and batch traffic analysis applications. In this context, we represent a highway network as an oriented graph based on the geographic data of the different sensors… Read full abstract & cite →

Event generator smart highway simulation multi-agent systems distributed computing

Abstract doi.org/10.14569/IJACSA.2017.080717 PDF

18

The Role of Strategic Information Systems (SIS) in Supporting and Achieving the Competitive Advantages (CA): An Empirical Study on Saudi Banking Sector

Author 1: Nisreen F. Alshubaily Author 2: Abdullah A. Altameem

The purpose of this research paper is to identify the significant role of Strategic Information Systems (SIS) in supporting the Competitive Advantage (CA). It also explains its role on the dimensions that increase the competitive advantage which are the operational efficiency, information quality and innovation. In order to achieve the… Read full abstract & cite →

Strategic information systems (SIS) competitive advantage (CA) operational efficiency information quality innovation

Abstract doi.org/10.14569/IJACSA.2017.080718 PDF

19

The Optimization of Query Processing in Seabase Cloud Databases based on CCEVP Model

Author 1: Abdulkadir ÖZDEMIR Author 2: Hasan Asil

A cloud database is a database usually installed on cloud computing software platforms. There are several methods for query processing in cloud databases. This study tried to optimize query processing in the SeaBase cloud database and reduce query processing time. This method used adaptability for optimization. This method was designed… Read full abstract & cite →

SeaBase optimization query processing database adaption

Abstract doi.org/10.14569/IJACSA.2017.080719 PDF

20

A Copula Statistic for Measuring Nonlinear Dependence with Application to Feature Selection in Machine Learning

Author 1: Mohsen Ben Hassine Author 2: Lamine Mili Author 3: Kiran Karra

Feature selection in machine learning aims to find out the best subset of variables from the input that reduces the computation requirement and improves the predictor performance. In this paper, a new index based on empirical copulas, termed the Copula Statistic (CoS) to assess the strength of statistical dependence and… Read full abstract & cite →

Copula multivariate dependence nonlinear systems feature selection machine learning

Abstract doi.org/10.14569/IJACSA.2017.080720 PDF

21

Security in OpenFlow Enabled Cloud Environment

Author 1: Abdalla Alameen Author 2: Sadia Rubab Author 3: Bhawna Dhupia Author 4: Manjur Kolhar

Inception of flow tables as data plane abstraction, and forwarding rules that are managed by centralized controllers in emerging Software Defined Networks (SDN) has stemmed significant progress in OpenFlow based architectures. SDN is particularly fueled by data center networking and cloud computing. OpenFlow coupled with cloud solutions provide dynamic networking… Read full abstract & cite →

Software defined networks OpenFlow 5G network component ONF virtualization SDN security framework future security networks

Abstract doi.org/10.14569/IJACSA.2017.080721 PDF

22

Analysis of Received Power Characteristics of Commercial Photodiodes in Indoor Los Channel Visible Light Communication

Author 1: Syifaul Fuada Author 2: Angga Pratama Putra Author 3: Trio Adiono

To date, the photodiode still the first choice component is used in optical communication, especially for visible light communication (VLC) system. It has advantages of speed, energy consumption, and sensitivity, compared to other devices (e.g. image sensor). There are many practical implementations of high-speed VLC which uses photodiode. Commercially available… Read full abstract & cite →

Commercial photodiodes LoS channel power received visible light communication

Abstract doi.org/10.14569/IJACSA.2017.080722 PDF

23

An Efficient Spectral Amplitude Coding (SAC) Technique for Optical CDMA System using Wavelength Division Multiplexing (WDM) Concepts

Author 1: Hassan Yousif Ahmed Author 2: Medien Zeghid

This article introduces an improved method for Optical Code Division Multiple Access system (OCDMA). In this scheme, a hybrid technique is used in which Wavelength Division Multiplexing (WDM) is merged with Spectral Amplitude Coding (SAC) to efficiently diminish Multiple Access Interference (MAI) and alleviate the impact of Phase Induced Intensity… Read full abstract & cite →

Optical Code Division Multiple Access System (OCDMA) Multiple Access Interference (MAI) Spectral Amplitude Coding (SAC) Wavelength Division Multiplexing (WDM) SAC-OCDMA/WDM MP (SW-MP) code Cross Correlation (CC)

Abstract doi.org/10.14569/IJACSA.2017.080723 PDF

24

Efficient Key Agreement and Nodes Authentication Scheme for Body Sensor Networks

Author 1: Jawaid Iqbal Author 2: Noor ul Amin Author 3: Arif Iqbal Umar Author 4: Nizamud Din

Technological evolvement of Wireless Sensor Networks (WSNs) gave birth to an attractive research area for health monitoring called Body Sensor Network (BSN). In BSN tiny sensor nodes sense physiological data of patients under medical health care and transmit this data to Base Station (BS) and then forward to Medical Server… Read full abstract & cite →

Body sensor network hash function node authentication key agreement session key

Abstract doi.org/10.14569/IJACSA.2017.080724 PDF

25

Design of Efficient Pipelined Router Architecture for 3D Network on Chip

Author 1: Bouraoui Chemli Author 2: Abdelkrim Zitouni Author 3: Alexandre Coelho Author 4: Raoul Velazco

As a relevant communication structure for integrated circuits, Network-on-Chip (NoC) architecture has attracted a range of research topics. Compared to conventional bus technology, NoC provides higher scalability and enhances the system performance for future System-on-Chip (SoC). Divergently, we presented the packet-switching router design for 2D NoC which supports 2D mesh… Read full abstract & cite →

3D network on chip router optimization turn model parallel communication router pipeline stages

Abstract doi.org/10.14569/IJACSA.2017.080725 PDF

26

UHF RFID Reader Antenna using Novel Planar Metamaterial Structure for RFID System

Author 1: Marwa Zamali Author 2: Lotfi Osman Author 3: Hedi Ragad Author 4: Mohamed Latrach

An Ultra High Frequency (UHF) half-loop antenna used in Radio Frequency Identification (RFID) systems is proposed with a planar patterned metamaterial structure of compact size. The size of the planar patterned metamaterial structure is (0.20λ*0.20λ*0.0023λ') mm3. This antenna consists of two metamaterial unit cells having negative permittivity and permeability. Simulation… Read full abstract & cite →

Loop antenna metamaterial miniaturization RFID system UHF band

Abstract doi.org/10.14569/IJACSA.2017.080726 PDF

27

Factors Influencing Users’ Intentions to Use Mobile Government Applications in Saudi Arabia: TAM Applicability

Author 1: Raed Alotaibi Author 2: Luke Houghton Author 3: Kuldeep Sandhu

M-government applications in Saudi Arabia are still at an early stage. In this study, a modified technology acceptance model (TAM) was used to identify and measure the factors that influence users’ intentions to use m-government applications in Saudi Arabia. This study focuses on the relationships between behavioural intention to use… Read full abstract & cite →

TAM Saudi Arabia e-government m-government applications

Abstract doi.org/10.14569/IJACSA.2017.080727 PDF

28

Image and AES Inspired Hex Symbols Steganography (IAIS) for Anti-Forensic Artifacts

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

Technology (including mobiles and computers) has become a basic, indispensable need in our daily life. With an initial purpose of achieving basic functions such as communication, technology has evolved into a virtual gate to the whole world connecting individuals through social media and various websites and applications. Most importantly, technology… Read full abstract & cite →

Mobile Forensics Anti-Forensics Data Hiding Steganography AES AIS.

Abstract doi.org/10.14569/IJACSA.2017.080728 PDF

29

Network Traffic Classification using Machine Learning Techniques over Software Defined Networks

Author 1: Mohammad Reza Parsaei Author 2: Mohammad Javad Sobouti Author 3: Seyed Raouf khayami Author 4: Reza Javidan

Nowadays Internet does not provide an exchange of information between applications and networks, which may results in poor application performance. Concepts such as application-aware networking or network-aware application programming try to overcome these limitations. The introduction of Software-Defined Networking (SDN) opens a path towards the realization of an enhanced interaction… Read full abstract & cite →

Software defined networks openflow traffic classification neural network multilayer perceptron

Abstract doi.org/10.14569/IJACSA.2017.080729 PDF

30

A New Approach for Leukemia Identification based on Cepstral Analysis and Wavelet Transform

Author 1: Amira Samy Talaat Author 2: Amir F. Atiya

This paper implements a new leukemia identification method which depends on Mel frequency cepstral coefficient (MFCC) feature extraction and wavelet transform. Leukemia identification is a measurement of blood cell features for detecting the blood cancer of a patient. Blood cell feature extraction is based on transforming the blood cell two… Read full abstract & cite →

MFCC feature extraction classification identification system leukemia

Abstract doi.org/10.14569/IJACSA.2017.080730 PDF

31

A New Strategy of Validities’ Computation for Multimodel Approach: Experimental Validation

Author 1: Abdennacer BEN MESSAOUD Author 2: Samia TALMOUDI BEN AOUN Author 3: Moufida LAHMARI KSOURI

The evaluation of validities is a fundamental step in the design of the multimodel approach. Indeed, it is thanks to validities that we estimate the contribution of each base-model in the reproduction of the behavior of the global process in a given operating area. These coefficients are calculated most commonly… Read full abstract & cite →

Validities residues’ approach multimodel quasi-hierarchical structuring experimental validation

Abstract doi.org/10.14569/IJACSA.2017.080731 PDF

32

Simulation and Analysis of Quality of Service (QoS) Parameters of Voice over IP (VoIP) Traffic through Heterogeneous Networks

Author 1: Mahdi H. Miraz Author 2: Suhail A. Molvi Author 3: Muzafar A. Ganie Author 4: Maaruf Ali Author 5: AbdelRahman H. Hussein

Identifying those causes and parameters that affect the Quality of Service (QoS) of Voice-over-Internet Protocol (VoIP) through heterogeneous networks such as WiFi, WiMAX and between them are carried out using the OPNET simulation tool. Optimization of the network for both intra- and inter-system traffic to mitigate the deterioration of the… Read full abstract & cite →

Voice over Internet Protocol (VoIP) Quality of Service (QoS) Mean Opinion Score (MOS) simulation

Abstract doi.org/10.14569/IJACSA.2017.080732 PDF

33

A Comparative Analysis of Quality Assurance of Mobile Applications using Automated Testing Tools

Author 1: Haneen Anjum Author 2: Muhammad Imran Babar Author 3: Muhammad Jehanzeb Author 4: Maham Khan Author 5: Saima Chaudhry Author 6: Summiyah Sultana Author 7: Zainab Shahid Author 8: Furkh Zeshan Author 9: Shahid Nazir Bhatti

Use of mobile applications are trending these days due to adoption of handheld mobile devices with operating systems such as Android, iOS and Windows. Delivering quality mobile apps is as important as in any other web or desktop application. Simplification and ease of quality assurance or evaluation in mobile devices… Read full abstract & cite →

Mobile application quality assurance automated testing testing tools

Abstract doi.org/10.14569/IJACSA.2017.080733 PDF

34

Detection of Cardiac Disease using Data Mining Classification Techniques

Author 1: Abdul Aziz Author 2: Aziz Ur Rehman

Cardiac Disease (CD) is one of the major causes of death. An important task is to identify the Cardiac disease very minutely and precisely. Generally medical diagnostic errors are dangerous and costly. Worldwide they are leading to deaths. Data mining techniques are very important to minimize the diagnostic errors as… Read full abstract & cite →

Cardiac disease classification technique decision tree knowledge discovery

Abstract doi.org/10.14569/IJACSA.2017.080734 PDF

35

Image Encryption Technique based on the Entropy Value of a Random Block

Author 1: Mohammed A. F. Al-Husainy Author 2: Diaa Mohammed Uliyan

The use of digital images in most fields of information technology systems makes these images usually contain confidential information. When these images transmitted via the Internet especially in the Cloud, it becomes necessary to protect these images in a way that ensure putting the confidential information that are contained far… Read full abstract & cite →

Image security image encryption secret key image authentication.

Abstract doi.org/10.14569/IJACSA.2017.080735 PDF

36

Enhancing Lean Software Development by using Devops Practices

Author 1: Ahmed Bahaa Farid Author 2: Yehia Mostafa Helmy Author 3: Mahmoud Mohamed Bahloul

Competition between companies has made a great pressure to produce new features continuously as fast as possible, subsequently successful software companies needs to learn more about customers and get new features out to them more rapidly. Lean software development cannot integrate between development and operation teams. DevOps enables this merge… Read full abstract & cite →

Lean software development DevOps development & IT operations continuous delivery monitoring continuous integration

Abstract doi.org/10.14569/IJACSA.2017.080736 PDF

37

SEUs Mitigation on Program Counter of the LEON3 Soft Processor

Author 1: Afef KCHAOU Author 2: Wajih EL HADJ YOUSSEF Author 3: Rached TOURKI

Analyzing and evaluating the sensitivity of embedded systems to soft-errors have always been a challenge for aerospace or safety equipment designer. Different automated fault-injection methods have been developed for evaluating the sensitivity of integrated circuit. Also many techniques have been developed to get a fault tolerant architecture in order to… Read full abstract & cite →

NETFI+ fault injection SEUs LEON3 simulation emulation reliability TMR

Abstract doi.org/10.14569/IJACSA.2017.080737 PDF

38

Deep Learning based Computer Aided Diagnosis System for Breast Mammograms

Author 1: M. Arfan Jaffar

In this paper, a framework has been presented by using a combination of deep Convolutional Neural Network (CNN) with Support Vector Machine (SVM). Proposed method first perform preprocessing to resize the image so that it can be suitable for CNN and perform enhancement quality of the images can be enhanced… Read full abstract & cite →

Classification breast mammograms computer aided diagnosis deep learning

Abstract doi.org/10.14569/IJACSA.2017.080738 PDF

39

ODSA: A Novel Ordering Divisional Scheduling Algorithm for Modern Operating Systems

Author 1: Junaid Haseeb Author 2: Muhammad Tayyab Author 3: Khizar Hameed Author 4: Samia Rehman Author 5: Muhammad Junaid Author 6: Agha Muhammad Musa Khan

CPU scheduling is defined as scheduling multiple processes that are required to be executed in a specific time period. A large number of scheduling algorithms have been proposed to achieve maximum CPU utilization/throughput and minimizing turn around, waiting and response time. Existing studies claim that Round Robin (RR) is providing… Read full abstract & cite →

CPU scheduling round robin scheduling algorithm turnaround time waiting time context switching

Abstract doi.org/10.14569/IJACSA.2017.080739 PDF

40

Customized Descriptor for Various Obstacles Detection in Road Scene

Author 1: Haythem Ameur Author 2: Abdelhamid Helali Author 3: J. Ramírez Author 4: J. M. Gorriz Author 5: Ridha Mghaieth Author 6: Hassen Maaref

Recently, real-time object detection systems have become a major challenge in the smart vehicle. In this work, we aim to increase both pedestrian and driver safety through improving their recognition rate in the vehicle’s embedded vision systems. Based on the Histogram of Oriented Gradients (HOG) descriptor, an optimized object detection… Read full abstract & cite →

ADAS customized HOG linear SVM obstacle detection

Abstract doi.org/10.14569/IJACSA.2017.080740 PDF

41

A Mathematical Model for Comparing Memory Storage of Three Interval-Based Parametric Temporal Database Models

Author 1: Nashwan Alromema Author 2: Mohd Shafry Mohd Rahim Author 3: Ibrahim Albidewi

Interval-Based Parametric Temporal Database Model (IBPTDM) captures the historical changes of database object in single tuple. Such data model violates 1NF and it is difficult to be implemented on top of conventional Database Management Systems (DBMS). The reason behind that, IBPTDM cannot directly use relational storage structure or query evaluation… Read full abstract & cite →

Valid-time data model N1NF tnterval-based timestamping temporal data model 1NF

Abstract doi.org/10.14569/IJACSA.2017.080741 PDF

42

Semantic based Data Integration in Scientific Workflows

Author 1: M. Abdul Rehman Author 2: Jamil Ahmed Author 3: Ahmed Waqas Author 4: Ajmal Sawand

Data Integration has become the most prominent aspect of data management applications, especially in scientific domains like ecology, biology, and geosciences. Today’s complex scientific applications and the rise of diverse data generating devices in scientific domains (e.g. sensors) have made data integration a challenging task. In response to these types… Read full abstract & cite →

Data integration scientific workflows ontology data semantics data management

Abstract doi.org/10.14569/IJACSA.2017.080742 PDF

43

Comparative Analysis of Online Rating Systems

Author 1: Mohammad Azzeh

Online rating systems serve as decision support tool for choosing the right transactions on the internet. Consumers usually rely on others’ experiences when do transaction on the internet, therefore their feedbacks are helpful in succeeding such transactions. One important form of such feedbacks is the product ratings. Most online rating… Read full abstract & cite →

Online rating systems reputation models comparative analysis decision making e-commerce

Abstract doi.org/10.14569/IJACSA.2017.080743 PDF

44

Method for System Requirements Approval

Author 1: Lindita Nebiu Hyseni Author 2: Zamir Dika

The requirements approval method is necessary to ensure that the system requirements have been identified in right way and the understanding between the contractor and the client exist. During research conducted is identified that most of the scholars have been working for the requirements definition during the meeting with the… Read full abstract & cite →

Approval method approve requirements system requirements functional and non-functional requirements joint approval requirements

Abstract doi.org/10.14569/IJACSA.2017.080744 PDF

45

A Novel Modeling based Agent Cellular Automata for Advanced Residential Mobility Applications

Author 1: Elarbi Elalaouy Author 2: Khadija Rhoulami Author 3: Moulay Driss Rahmani

Nowadays, residential mobility (RM) is usually interconnected with other urban phenomena to give more realistic and effective to the simulation models in order to support urban planners and decision makers. Recent RM research works to describe models from a functional view; however researchers do less focus in providing software modeling… Read full abstract & cite →

Residential mobility multi agent systems cellular automata urban modeling

Abstract doi.org/10.14569/IJACSA.2017.080745 PDF

46

Intelligent Diagnostic System for Nuclei Structure Classification of Thyroid Cancerous and Non-Cancerous Tissues

Author 1: Jamil Ahmed Chandio Author 2: M. Abdul Rehman Soomrani

Recently, image mining has opened new bottlenecks in the field of biomedical discoveries and machine leaning techniques have brought significant revolution in medical diagnosis. Especially, classification problem of human cancerous tissues would assume to be one of the really challenging problems since it requires very high optimized algorithms to select… Read full abstract & cite →

Machine learning decision support system clustering classification cancer cells

Abstract doi.org/10.14569/IJACSA.2017.080746 PDF

47

Mobility for an Optimal Data Collection in Wireless Sensor Networks

Author 1: EZ-ZAIDI Asmaa Author 2: RAKRAK Said

Sensor nodes located in the vicinity of a static sink drain rapidly their batteries since they have to carry more traffic burden. This situation results in network partition, holes as well as data losses. To mitigate this issue, many research proposed the use of mobile sink in data collection as… Read full abstract & cite →

Contact time mobile sink wireless sensor networks meeting point data gathering

Abstract doi.org/10.14569/IJACSA.2017.080747 PDF

48

Estimating True Demand in Airline’s Revenue Management Systems using Observed Sales

Author 1: Alireza Nikseresht Author 2: Koorush Ziarati

Forecasting accuracy is very important in revenue management. Improved forecast accuracy, improves the decision made about inventory and this lead to a greater revenue. In the airline’s revenue management systems, the inventory is controlled by changing the product availability. As a consequence of changing availability, the recorded sales become a… Read full abstract & cite →

Demand estimation demand modelling forecasting revenue management inventory control unconstraining uncensoring

Abstract doi.org/10.14569/IJACSA.2017.080748 PDF

49

2.5 D Facial Analysis via Bio-Inspired Active Appearance Model and Support Vector Machine for Forensic Application

Author 1: Siti Norul Huda Sheikh Abdullah Author 2: Mohammed Hasan Abdulameer Author 3: Nazri Ahmad Zamani Author 4: Fasly Rahim Author 5: Khairul Akram Zainol Ariffin Author 6: Zulaiha Othman Author 7: Mohd Zakree Ahmad Nazri

In this paper, a fully automatic 2.5D facial technique for forensic applications is presented. Feature extraction and classification are fundamental processes in any face identification technique. Two methods for feature extraction and classification are proposed in this paper subsequently. Active Appearance Model (AAM) is one of the familiar feature extraction… Read full abstract & cite →

Face recognition active appearance model ant bee colony particle swarm optimization support vector machine

Abstract doi.org/10.14569/IJACSA.2017.080749 PDF

50

Efficient Feature Selection for Product Labeling over Unstructured Data

Author 1: Zeki YETGIN Author 2: Abdullah ELEWI Author 3: Furkan GÖZÜKARA

The paper introduces a novel feature selection algorithm for labeling identical products collected from online web resources. Product labeling is important for clustering similar or same products. Products blindly crawled over the web sources, such as online sellers, have unstructured data due to having features expressed in different representations and… Read full abstract & cite →

Product labeling product clustering feature selection similarity metrics hierarchical clustering

Abstract doi.org/10.14569/IJACSA.2017.080750 PDF

51

Intelligent System for Detection of Micro-Calcification in Breast Cancer

Author 1: M. Abdul Rehman Author 2: Jamil Ahmed Author 3: Ahmed Waqas Author 4: Ajmal Sawand

Recently; medical image mining has become one of the well-recognized research area(s) of machine learning and artificial intelligence techniques have been vastly used in various computer added diagnostic systems. Specifically; breast cancer classification problem is considered as one of the most significant problems. For instance, complex, diverse and heterogamous malignant… Read full abstract & cite →

Medical image mining machine learning feature extraction classification Digital Communication in Medicine (DICOM)

Abstract doi.org/10.14569/IJACSA.2017.080751 PDF

52

Financial Market Prediction using Google Trends

Author 1: Farrukh Ahmed Author 2: Dr. Raheela Asif Author 3: Dr. Saman Hina Author 4: Muhammad Muzammil

Financial decisions are among the most significant life-changing decisions that individuals make. There is a strong correlation between financial decision making and human behavior. In this research the relationship between what people think and how stock market moves is investigated. The data from 2010 to 2015 of some of business… Read full abstract & cite →

Google trends financial market stock market Karachi stock market multiclass neural network multiclass decision trees

Abstract doi.org/10.14569/IJACSA.2017.080752 PDF

53

Ultra-Wideband Antenna Design for GPR Applications: A Review

Author 1: Jawad Ali Author 2: Noorsaliza Abdullah Author 3: Muhammad Yusof Ismail Author 4: Ezri Mohd Author 5: Shaharil Mohd Shah

This paper presents a comparative review study on ultra-wideband (UWB) antenna technology for Ground Penetrating Radar (GPR) applications. The proposed antenna designs for UWB ground penetrating radar include a bow-tie antennas, Vivaldi antennas, horn antennas, planar antennas, tapered slot antennas, dipole antennas, and spiral antennas. Furthermore a comprehensive study in… Read full abstract & cite →

Ultra-wideband antennas ground penetrating radar antennas antenna review

Abstract doi.org/10.14569/IJACSA.2017.080753 PDF

54

Introducing Time based Competitive Advantage in IT Sector with Simulation

Author 1: Rida Maryam Author 2: Adnan Naseem Author 3: Junaid Haseeb Author 4: Khizar Hameed Author 5: Muhammad Tayyab Author 6: Babar Shahzaad

Incompletion of projects in time leads to project failure which is the major dilemma of the software industry. Different strategies are used to gain a competitive advantage over competitors in business. In software perspective, time is an incredibly critical factor, software products should be delivered in time to gain competitive… Read full abstract & cite →

Business strategy competitive advantage time-base a competitor simulation software industry

Abstract doi.org/10.14569/IJACSA.2017.080754 PDF

55

New Deep Kernel Learning based Models for Image Classification

Author 1: Rabha O. Abd-elsalam Author 2: Yasser F.Hassan Author 3: Mohamed W.Saleh

Deep learning system is used for solving many problems in different domains but it gives an over-fitting risk when richer representations are increased. In this paper, three different models with different deep multiple kernel learning architectures are proposed and evaluated for the breast cancer classification problem. Discrete Wavelet transform and… Read full abstract & cite →

Deep learning multiple kernel support vector machine image classification

Abstract doi.org/10.14569/IJACSA.2017.080755 PDF

56

Low-Power Hardware Design of Binary Arithmetic Encoder in H.264

Author 1: Ben Hamida Asma Author 2: Nedra Jarray Author 3: Zitouni Abdelkrim

Context-Based Adaptive Binary Arithmetic Coding (CABAC) is a well-known bottleneck in H.264/AVC, owing to the highly serialized calculation and high data dependency of the binary arithmetic encoder. This work presents a hardware architecture for the sub-module binary arithmetic encoder of the CABAC. Moreover, a clock gating technique is inserted into… Read full abstract & cite →

H.264 Binary Arithmetic Encoder (BAE) Context-based Adaptive Binary Arithmetic Coding (CABAC) clock gating

Abstract doi.org/10.14569/IJACSA.2017.080756 PDF

57

Dynamic Access Control Policy based on Blockchain and Machine Learning for the Internet of Things

Author 1: Aissam OUTCHAKOUCHT Author 2: Hamza ES-SAMAALI Author 3: Jean Philippe LEROY

The Internet of Things (IoT) is now destroying the barriers between the real and digital worlds. However, one of the huge problems that can slow down the development of this global wave, or even stop it, concerns security and privacy requirements. The criticality of these latter comes especially from the… Read full abstract & cite →

Internet of Things security access control dynamic policy security policy blockchain machine learning reinforcement learning

Abstract doi.org/10.14569/IJACSA.2017.080757 PDF

58

Eye Controlled Mobile Robot with Shared Control for Physically Impaired People

Author 1: Muhammad Wasim Author 2: Javeria Khan Author 3: Dawer Saeed Author 4: Dr. Usman Ghani Khan

Physically impaired and disabled people are an integral part of human society. Devices providing assistance to such individuals can help them contribute to the society in a more productive way. The situation is even worse for patients with locked-in syndrome who cannot move their body at all. These problems were… Read full abstract & cite →

Locked-in syndrome EEG shared contol eye controlled robot

Abstract doi.org/10.14569/IJACSA.2017.080758 PDF

59

Fast–ICA for Mechanical Fault Detection and Identification in Electromechanical Systems for Wind Turbine Applications

Author 1: Mohamed Farhat Author 2: Yasser Gritli Author 3: Mohamed Benrejeb

Recently, the approaches based on source separation are increasingly adopted for the fault diagnosis in several industrial applications. In particular, Independent Component Analysis (ICA) method is attractive, thanks to its simplicity of implementation. In the context of electrical rotating machinery with a variable speed, namely the wind turbine type, the… Read full abstract & cite →

Source separation fault diagnosis independent component analysis fast–ICA spectral analysis

Abstract doi.org/10.14569/IJACSA.2017.080759 PDF

60

An Enhanced Approach for Detection and Classification of Computed Tomography Lung Cancer

Author 1: Wafaa Alakwaa Author 2: Mohammad Nassef Author 3: Amr Badr

The paper presents approaches for nodule detection and extraction in axial lung computed tomography. The goal is to detect correctly pulmonary nodule to recognize and screen lung cancer patients. The pulmonary nodule detection is very challenging problem. The proposed model developed a hybrid efficient model based on affine-invariant representation and… Read full abstract & cite →

Lung cancer computed tomography affine invariant moments pulmonary nodules R2 feature selection support vector machine

Abstract doi.org/10.14569/IJACSA.2017.080760 PDF

61

Short Survey on Static Hand Gesture Recognition

Author 1: Huu-Hung Huynh Author 2: Duc-Hoang Vo

This paper presents a survey of methods which have been recently proposed for recognizing static hand gestures. These approaches are first summarized and then are assessed based on a common dataset. Because mentioned methods employ different types of input, the survey focuses on stages of feature extraction and classification. Other… Read full abstract & cite →

Hand gesture rank-order correlation matrix Gabor filter block centroid distance Fourier transform

Abstract doi.org/10.14569/IJACSA.2017.080761 PDF

62

Mobility based Net Ordering for Simultaneous Escape Routing

Author 1: Kashif Sattar Author 2: Aleksandar Ignjatovic Author 3: Anjum Naveed Author 4: Muhammad Zeeshan

With the advancement in electronics technology, number of pins under the ball grid array (BGA) are increasing on reduced size components. In small size components, a challenging task is to solve the escape routing problem where BGA pins escape towards the component boundary. It is often desirable to perform ordered… Read full abstract & cite →

Net ordering optimization model ordered escape routing PCB routing simultaneous escape routing

Abstract doi.org/10.14569/IJACSA.2017.080762 PDF

63

A Survey on User Interfaces for Interaction with Human and Machines

Author 1: Mirza Abdur Razzaq Author 2: Muhammad Ali Qureshi Author 3: Kashif Hussain Memon Author 4: Saleem Ullah

Interaction with the machines and computers is achieved using user interfaces. Nowadays, with the tremendous growth of technology, the interaction is made more simple and flexible. The study of user interfaces for human-computers and machines interaction is the main focus of this paper. In particular, an extensive overview of different… Read full abstract & cite →

Command line interface (CLI) graphical user interface (GUI) user interface (UI) sixth sense device natural language interface brain-computer interface emerging user interfaces

Abstract doi.org/10.14569/IJACSA.2017.080763 PDF

64

OSPF vs EIGRP: A Comparative Analysis of CPU Utilization using OPNET

Author 1: Muhammad Kashif Hanif Author 2: Ramzan Talib Author 3: Nafees Ayub Author 4: Muhammad Umer Sarwar Author 5: Sami Ullah

Routing is difficult in enterprise networks because a packet might have to traverse many intermediary nodes to reach the final destination. The selection of an appropriate routing protocol for a large network is difficult task. The focus of this work is to select and identify the best routing technique for… Read full abstract & cite →

Network protocols topology OPNET interior gateway protocols (IGPs) OSPF

Abstract doi.org/10.14569/IJACSA.2017.080764 PDF

65

Anonymized Social Networks Community Preservation

Author 1: Jyothi Vadisala Author 2: Valli Kumari Vatsavayi

Social Networks have been widely used in the society. Most of the people are connected to one another, communicated with each other and share the information in different forms. The information gathered from different social networking sites is growing tremendously in large volumes of various research, marketing and other purposes… Read full abstract & cite →

Community anonymity degree social network

Abstract doi.org/10.14569/IJACSA.2017.080765 PDF

66

A Comparative Study for Performance and Power Consumption of FPGA Digital Interpolation Filters

Author 1: Tim Donnelly Author 2: Jungu Choi Author 3: Alexander V. Kildishev Author 4: Matthew Swabey Author 5: Mark C. Johnson

The development of FPGA-based digital signal processing devices has been gaining attention. Researchers seek to reduce power consumption and enhance signal processing quality in these devices with given resources and spatial limits. Hence, there is a need to investigate both the capability and the power consumption associated with the various… Read full abstract & cite →

Digital signal processing digital interpolation filters FPGA

Abstract doi.org/10.14569/IJACSA.2017.080766 PDF

67

A Survey of Datasets for Biomedical Question Answering Systems

Author 1: Muhammad Wasim Author 2: Dr. Waqar Mahmood Author 3: Dr. Usman Ghani Khan

The massively ever increasing amount of textual and linked biomedical data available online poses many challenges for information seekers. So, the focus of information retrieval community has shifted to precise information retrieval, i.e. providing exact answer to a user question. In recent years, many datasets related to Biomedical Question Answering… Read full abstract & cite →

Biomedical QA system review survey

Abstract doi.org/10.14569/IJACSA.2017.080767 PDF

68

A Comprehensive Analysis on the Security Threats and their Countermeasures of IoT

Author 1: Abdul Wahab Ahmed Author 2: Omair Ahmad Khan Author 3: Mian Muhammad Ahmed Author 4: Munam Ali Shah

Internet of Things referred as a pervasive network architecture which provides services to the physical world by processing and analyzing data. In this modern era Internet of Things has been shown much significance and rapidly developing by connecting heterogeneous devices with various technologies. By this way interconnectivity of large number… Read full abstract & cite →

Internet of things security threats countermeasures privacy

Abstract doi.org/10.14569/IJACSA.2017.080768 PDF

69

Ladder Networks: Learning under Massive Label Deficit

Author 1: Behroz Mirza Author 2: Tahir Syed Author 3: Jamshed Memon Author 4: Yameen Malik

Advancement in deep unsupervised learning are finally bringing machine learning close to natural learning, which happens with as few as one labeled instance. Ladder Networks are the newest deep learning architecture that proposes semi-supervised learning at scale. This work discusses how the ladder network model successfully combines supervised and unsupervised… Read full abstract & cite →

Ladder networks semi-supervised learning deep learning structure observer

Abstract doi.org/10.14569/IJACSA.2017.080769 PDF

70

Privacy-preserving Twitter-based Solution for Visually Impaired People

Author 1: Dina Ahmed Abdraboo Author 2: Tarek Gaber Author 3: Mohamed El Sayed Wahed

Visually impaired people is a big community all over the world. They usually seek help to perform their daily activities such as reading the expired date of food cans or medicine, reading out PIN of a certain ATM Visa, identifying the color of clothes or differentiate between the money notes… Read full abstract & cite →

Human powered technology blind people visually impaired people user’s privacy IT-based solution social networks friend-sourcing crowd-sourcing accessibility low vision bilingual screen reader

Abstract doi.org/10.14569/IJACSA.2017.080770 PDF

71

A Text based Authentication Scheme for Improving Security of Textual Passwords

Author 1: Shah Zaman Nizamani Author 2: Syed Raheel Hassan Author 3: Tariq Jamil Khanzada Author 4: Mohd Zalisham Jali

User authentication through textual passwords is very common in computer systems due to its ease of use. However textual passwords are vulnerable to different kinds of security attacks, such as spyware and dictionary attacks. In order to overcome the deficiencies of textual password scheme, many graphical password schemes have been… Read full abstract & cite →

Password security security usability alphanumeric passwords authentication

Abstract doi.org/10.14569/IJACSA.2017.080771 PDF

72

Impact of Pulse Voltage as Desulfator to Improve Automotive Lead Acid Battery Capacity

Author 1: EL MEHDI LAADISSI Author 2: ANAS EL FILALI Author 3: MALIKA ZAZI

This paper studies the impact of Pulse Voltage as Desulfator to recover weak automotive Lead Acid Battery capacity which is caused by Sulfation. This technique is used to overcome the premature loss of battery capacity and speed up the process of charging and extend the lead acid battery life cycle… Read full abstract & cite →

Lead acid battery desulfator pulse charging cold cranking sulfation

Abstract doi.org/10.14569/IJACSA.2017.080772 PDF

73

The Dynamics of IT Workaround Practices - A Theoretical Concept and an Empirical Assessment

Author 1: Ahmed Alojairi

An interesting phenomenon that has received limited attention in the extant literature is that of IT workaround practices. Based on Ashby's Law of Requisite Variety, workarounds were found to be used to accomplish the basic task of matching unmatched variety in the system. The Interaction Effectiveness (IE) ratio of 1.4… Read full abstract & cite →

IT effectiveness workarounds cybernetics

Abstract doi.org/10.14569/IJACSA.2017.080773 PDF