IJACSA Vol. 6 Issue 1 (2015)

1

Cluster-Based Context-Aware Routing Protocol for Mobile Environments

Author 1: Ahmed. A. A. Gad-ElRab Author 2: T. A. A. Alzohairy Author 3: Almohammady S. Alsharkawy

Mobile environment has many issues due to mobility, energy limitations and status changing over time. Routing method is an important issue and has a significant impact in mobile networks, whereas selecting the optimum routing path will reduce the wasting in network resources, reduce network overhead and increase network reliability and lifetime. To decide which path will achieve the networks objectives, we need to construct a new routing algorithm that uses context attributes of a mobile device such as available bandwidth, residual energy, connection number and mobility value. In this paper, we propose a new mobile nodes ranking scheme based on the combination of two multi-criteria decision making approaches, the analytic hierarchy process (AHP) and the technique for order performance by similarity to ideal solution (TOPSIS) in Fuzzy environments. The Fuzzy AHP is used to analyze the structure of the clusterhead selection problem and to determine weights of the criteria, while the Fuzzy TOPSIS method is used to obtain the final mobile node ranking value. By basing on node ranking, we propose a new cluster based routing algorithm select the optimal clusterheads and the best routing path. Our simulation results show that the proposed method increases the network accuracy and lifetime and reduces network overhead.

Clustering Context FMCDM Mobile and Routing

Abstract doi.org/10.14569/IJACSA.2015.060101 PDF

2

Security Issues of a Recent RFID Multi Tagging Protocol

Author 1: Mehmet Hilal Özcanhan Author 2: Sezer Baytar Author 3: Semih Utku Author 4: Gökhan Dalkiliç

RFID is now a widespread method used for identifying people and objects. But, not all communication protocols can provide the same rigorous confidentiality to RFID technology. In return, unsafe protocols put individuals and organizations into jeopardy. In this paper, a scheme that uses multiple low cost tags for identifying a single object is studied. Through algebraic analysis on chronologically ordered messages, the proposed multi tag arrangement is shown to fail to provide the claimed security. The weaknesses are discussed and previously proven precautions are recommended to increase the security of the protocol, and thus the safety of its users.

Authentication EPC Gen 2 ISO 18000-6 NFC RFID UHF tag

Abstract doi.org/10.14569/IJACSA.2015.060102 PDF

3

Model Driven Testing of Web Applications Using Domain Specific Language

Author 1: Viet-Cuong Nguyen

As more and more systems move to the cloud, the importance of web applications has increased recently. Web applications need more strict requirements in order to sup-port higher availability. The techniques in quality assurance of these applications hence become essential, the role of testing for web application becomes more significant. Model-driven testing is a promising paradigm for the automation of software testing. In the web domain, the challenge however remains in the creation of models and the complexity of configuring, launching, and testing big number of valid configuration and testing cases. This paper proposes a solution towards this challenge with an approach using Domain Specific Language (DSL) for model driven testing of web application. Our techniques are based on building abstractions of web pages using domain specific language. We introduce WTML - a domain specific language for modeling web pages and provide automatic code generation with a web-testing framework. This methodology and techniques aim at helping software developers as well as testers to become more productive and reduce the time-to-market, while maintaining high standards of web application quality.

Domain specific language (DSL) model-driven development model-driven testing WTML

Abstract doi.org/10.14569/IJACSA.2015.060103 PDF

4

A Design of Pipelined Architecture for on-the-Fly Processing of Big Data Streams

Author 1: Usamah Algemili Author 2: Simon Berkovich

Conventional processing infrastructures have been challenged by huge demand of stream-based applications. The industry responded by introducing traditional stream processing engines along-with emerged technologies. The ongoing paradigm embraces parallel computing as the most-suitable proposition. Pipelining and Parallelism have been intensively studied in recent years, yet parallel programming on multiprocessor architectures stands as one of the biggest challenges to the software industry. Parallel computing relies on parallel programs that may encounter internal memory constrains. In addition, parallel computing needs special skillset of programming as well as software conversions. This paper presents reconfigurable pipelined architecture. The design is especially aimed at Big Data clustering, and it adopts Symmetric multiprocessing (SMP) along with crossbar switch and forced interrupt. The main goal of this promising architecture is to efficiently process big data streams on-the-fly, while it can process sequential programs on parallel-pipelined model. The system overpasses internal memory constrains of multicore architectures by applying forced interrupts and crossbar switching. It reduces complexity, data dependency, high-latency, and cost overhead of parallel computing.

Big Data Clustering Computer Architecture Parallel Processing Pipeline Design Variable Lengths Symmetric Multiprocessing Crossbar Switch Forced Interrupt

Abstract doi.org/10.14569/IJACSA.2015.060104 PDF

5

Review of Cross-Platforms for Mobile Learning Application Development

Author 1: Nabil Litayem Author 2: Bhawna Dhupia Author 3: Sadia Rubab

Mobile learning management systems are very important for training purpose. But considering the present scenario, the learners are equipped with a number of mobile devices that run by different operating systems with diverse device features. Therefore, developing a mobile application for different platforms is a cumbersome task if appropriate tools and techniques are not practiced. There are three categories of mobile application namely native, web based and hybrid. For mobile learning system, hybrid is an appropriate choice. In order to avoid re-implementation of the same hybrid application for different platform separately, several tools are proposed for example: PhoneGap, Adobe Air, Sencha Touch and QT, each with their own strength. With proper use of the strength of individual framework or the combination of frameworks, more compatible and more stable, cross-platform mobile learning application specifically for quizzes and assignments can be developed.

cross-platform mobile devices framework mobile learning hybrid mobile app

Abstract doi.org/10.14569/IJACSA.2015.060105 PDF

6

Fault-Tolerant Attitude Control System for a Spacecraft with Control Moment Gyros Using Multi-Objective Optimization

Author 1: Ai Noumi Author 2: Misuzu Haruki Author 3: Takuya Kanzawa Author 4: Masaki Takahashi

Recent years have seen a growing requirement for accurate and agile attitude control of spacecraft. To both quickly and accurately control the attitude of a spacecraft, Control Moment Gyros (CMGs) which can generate much higher torque than conventional spacecraft actuators are used as actuators of the spacecraft. The drive on the motors is needed for rapid maneuverability, negatively affecting their life. Thus, in designing spacecraft the conflicting requirements are rapid maneuverability and reduced the drive on motors. Furthermore, the attitude control system needs to be fault-tolerant. The dominant requirement is different for each spacecraft mission, and therefore the relationship between the requirements should be shown. In this study, a design method is proposed for the attitude control system, using multi objective optimization of the skew angle and parameters of the control system. Pareto solutions that can show the relationship between the requirements are obtained by optimizing the parameters. Through numerical analysis, the effect with fault-tolerance and parameter differences for the dominant requirement are confirmed and the method to guide for determining parameters of the attitude control system is established.

Control Moment Gyros Spacecraft Attitude Control Multi-objective Optimization

Abstract doi.org/10.14569/IJACSA.2015.060106 PDF

7

Golay Code Transformations for Ensemble Clustering in Application to Medical Diagnostics

Author 1: Faisal Alsaby Author 2: Kholood Alnowaiser Author 3: Simon Berkovich

Clinical Big Data streams have accumulated large-scale multidimensional data about patients’ medical conditions and drugs along with their known side effects. The volume and the complexity of this Big Data streams hinder the current computational procedures. Effective tools are required to cluster and systematically analyze this amorphous data to perform data mining methods including discovering knowledge, identifying underlying relationships and predicting patterns. This paper presents a novel computation model for clustering tremendous amount of Big Data streams. The presented approach is utilizing the error-correction Golay Code. This clustering methodology is unique. It outperforms all other conventional techniques because it has linear time complexity and does not impose predefined cluster labels that partition data. Extracting meaningful knowledge from these clusters is an essential task; therefore, a novel mechanism that facilitates the process of predicting patterns and likelihood diseases based on a semi-supervised technique is presented.

medical Big Data clustering machine learning pattern recognition prediction tool Big Data classification Golay Code

Abstract doi.org/10.14569/IJACSA.2015.060107 PDF

8

A Monitoring Model for Hierarchical Architecture of Distributed Systems

Author 1: Phuc Tran Nguyen Hong Author 2: Son Le Van

Distributed systems are complex systems and there are a lot of the potential risks in the system, so system administrators need to have some effective support tools for network management. The architecture information of distributed systems is an essential part of distributed system monitoring solutions, because it provides general information about monitored objects in the system for administrators, as well as supports administrator in quickly detecting change of topology, error status or potential risks that arise during operation of distributed systems. The modeling approaches have an important role in developing monitoring solutions, in which they are background to develop algorithms for monitoring problems in distributed systems. This paper proposes an approach in order to model for hierarchical architecture of objects in distributed systems, in which consists of architecture of monitored objects, networks, domains and global distributed systems. Based on this model, a basic monitoring solution for hierarchical architecture of distributed systems is developed and this solution is able to provide administrators more important architecture information such as the topology of hardware components, processes, status of monitored objects, etc.

architecture distributed systems model monitored objects monitoring

Abstract doi.org/10.14569/IJACSA.2015.060108 PDF

9

Ipv6 Change Threats Behavior

Author 1: Firas Najjar Author 2: Homam El-Taj

IPv4 address pool is already exhausted; therefore, the change to use IPv6 is eventually necessary to give us a massive address pool. Although IPv6 was built with security in mind, extensive research must be done before deploying IPv6 to ensure the protection of security and privacy. This paper firstly presents the differences between the old and new IP versions (IPv4 and IPv6), and how these differences will affect the attacks, then the paper will show how the attacks on IPv4 and IPv6 will remain mostly the same; furthermore, the use of IPv6 will give rise to new types of attacks and change other types’ behavior.

Computer Attacks IPv4 IPv6 Security

Abstract doi.org/10.14569/IJACSA.2015.060109 PDF

10

Emotional Engagement and Active Learning in a Marketing Simulation: A Review and Exploratory Study

Author 1: Kear Andrew Author 2: Bown Gerald Robin

This paper considers the role of emotional engagement during the use of a simulation. This is placed in the context of learning about marketing. The literature highlights questions of engagement and interactivity that are entailed in the use of these simulations. It is observed here that both the anticipation of and the process of engagement with the simulation generate emotional responses. The evidence of emotional anticipation was collected through the use of vignettes and a short survey. The production of negative emotions before and after the activity was observed and considered. The particular occurrence of these emotions on the development of understanding is then discussed. There is general evidence for the mundane reality of such simulations that support learning and group engagement. The connection with activity theory was explored and proposed as a potential theoretical fit with the evidence.

component Learning Simulations Feedback Emotional Learning Scenarios Emotional Anticipation Deep Learning Vignette Research

Abstract doi.org/10.14569/IJACSA.2015.060110 PDF

11

Modeling and Simulation Analysis of Power Frequency Electric Field of UHV AC Transmission Line

Author 1: Chen Han Author 2: Yuchen Chen

In order to study the power frequency electric field of UHV AC transmission lines, this paper which models and calculates using boundary element method simulates various factors influencing the distribution of the power frequency electric field, such as the conductor arrangement, the over-ground height, the split spacing and the sub conductor radius. Different influence of various factors on the electric field distribution will be presented. In a single loop, using VVV triangular arrangement is the most secure way; in a dual loop, the electric field intensity using reverse phase sequence is weaker than that using positive phase sequence. Elevating the over-ground height and reducing the conductor split spacing will both weaken the electric field intensity, while the change of sub conductor radius can hardly cause any difference. These conclusions are important for electric power company to detect circuit.

boundary element method electric field distribution power frequency electric field UHV

Abstract doi.org/10.14569/IJACSA.2015.060111 PDF

12

A Proposal of SNS to Improve Member’s Motivation in Voluntary Community Using Gamification

Author 1: Kohei Otake Author 2: Yoshihisa Shinozawa Author 3: Akito Sakurai Author 4: Makoto Oka Author 5: Tomofumi Uetake Author 6: Ryosuke Sumita

Recently, the number of voluntary communities such as local communities and university club activities are increasing. In these communities, since there are various types of members and there are no binding forces, it is usually difficult to maintain and im-prove member's motivation. To maintain and improve member's motivation, most of these communities use social networking services (SNSs). However, since existing SNS offer few functions for voluntary community, it is difficult to solve this problem. This research focused on the concept of gamification and proposed an SNS to improve member's motivation of voluntary community. First, the authors analyzed the current conditions and members of a voluntary community. Based on this analysis, the authors found that an SNS to improve member's motivation of voluntary community requires functions which support member's personal activities and also functions which increase social activities. Next, the authors built an SNS that had these functions by applying the concept of gamification. The authors implemented the SNS for a University club’s activities for one month and showed the effectiveness of our SNS.

Gamification Voluntary Community Motivation Management

Abstract doi.org/10.14569/IJACSA.2015.060112 PDF

13

Fast Vertical Mining Using Boolean Algebra

Author 1: Hosny M. Ibrahim Author 2: M. H. Marghny Author 3: Noha M. A. Abdelaziz

The vertical association rules mining algorithm is an efficient mining method, which makes use of support sets of frequent itemsets to calculate the support of candidate itemsets. It overcomes the disadvantage of scanning database many times like Apriori algorithm. In vertical mining, frequent itemsets can be represented as a set of bit vectors in memory, which enables for fast computation. The sizes of bit vectors for itemsets are the main space expense of the algorithm that restricts its expansibility. Therefore, in this paper, a proposed algorithm that compresses the bit vectors of frequent itemsets will be presented. The new bit vector schema presented here depends on Boolean algebra rules to compute the intersection of two compressed bit vectors without making any costly decompression operation. The experimental results show that the proposed algorithm, Vertical Boolean Mining (VBM) algorithm is better than both Apriori algorithm and the classical vertical association rule mining algorithm in the mining time and the memory usage.

association rule bit vector Boolean algebra frequent itemset vertical data format

Abstract doi.org/10.14569/IJACSA.2015.060113 PDF

14

Investigation of Adherence Degree of Agile Requirements Engineering Practices in Non-Agile Software Development Organizations

Author 1: Mennatallah H. Ibrahim Author 2: Nagy Ramadan Darwish

Requirements are critical for the success of software projects. Requirements are practically difficult to produce, as the hardest stage of building a software system is to decide what the system should do. Moreover, requirements errors are expensive to fix in the later phases of the software development life cycle. The rapidly changing business environment is highly challenging traditional Requirements Engineering (RE) practices. Most of the software development organizations are working in such dynamic environment, as a result, either by or without their awareness agile methodologies are adopted in various phases of their software development cycles. The aim of this paper is to investigate the adherence degree of agile RE practices in various software development organizations that are classifying themselves as adopting traditional (i.e. non-agile) software development methodologies. An approach is proposed for achieving this aim and it is applied on five different projects from four different organizations. The result shows that even the non-agile software development organizations are applying agile RE practices by different adherence degrees.

agile methods agile requirements engineering practices requirements engineering

Abstract doi.org/10.14569/IJACSA.2015.060114 PDF

15

A Review on Parameters Identification Methods for Asynchronous Motor

Author 1: Xing Zhan Author 2: Guohui Zeng Author 3: Jin Liu Author 4: Qingzhen Wang Author 5: Sheng Ou

The decoupling of excitation current and torque current is realized by Vector control so that the speed regulating performance of asynchronous motor is comparable with that of dc motor. The control precision is directly affected by accuracy of parameter identification in asynchronous motor. In this paper, based on the existing literatures, the existed parameters identification methods both online and offline are analyzed and compared, and the advantages and disadvantages of the various algorithms are listed it tables. Therefore, a comprehensive identification method of adjustable model which makes the least square method as adaptive method of model reference is presented. Finally, the outlook of developing direction for parameters identification of asynchronous motor are put forward to.

Vector control Parameters identification MRAS the least square method

Abstract doi.org/10.14569/IJACSA.2015.060115 PDF

16

An Intelligent Natural Language Conversational System for Academic Advising

Author 1: Edward M. Latorre-Navarro Author 2: John G. Harris

Academic advisors assist students in academic, professional, social and personal matters. Successful advising increases student retention, improves graduation rates and helps students meet educational goals. This work presents an advising system that assists advisors in multiple tasks using natural language. This system features a conversational agent as the user interface, an academic advising knowledge base with a method to allow the users to contribute to it, an expert system for academic planning, and a web design structure for the implementation platform. The system is operational for several hundred students from a university department. The system performed well, obtaining close to 80%, on the traditional language processing measures of precision, recall, accuracy and F1 score. Assessment from the constituencies showed positive and assuring reviews. This work provides an assessment and technological solution to the academic advising field, i.e., the first-known advising multi-task conversational system with adaptive measures for improvement. The evaluation in a real-world scenario shows its viability, and initiated the development of a corpus for academic advising, valuable for the academic and language processing research communities.

Natural Language Processing Dialog System Conversational Agent Academic Advising Advising System Engineering Education E-learning Human Computer Interaction

Abstract doi.org/10.14569/IJACSA.2015.060116 PDF

17

A Comparative Study of Thresholding Algorithms on Breast Area and Fibroglandular Tissue

Author 1: Shofwatul ‘Uyun Author 2: Sri Hartati Author 3: Agus Harjoko Author 4: Lina Choridah

One of the independently risk factors of breast cancer is mammographic density reflecting the composition of the fibroglandular tissue in breast area. Tumor in the mammogram is precisely complicated to detect as it is covered by the density (the masking effect). The determination of mammographic density may be implemented by calculating percentage of mammographic density (quantitative and objective approaches). Thereby, the use of a proper thresholding algorithm is highly required in order to obtain the fibroglandular tissue area and breast area. The mammograms used in the research were derived from Oncology Clinic, Yogyakarta that had been verified by Radiologists using semi-automatic thresholding. This research was aimed to compare the performance of the thresholding algorithm using three parameters, namely: PME, RAE and MHD. Zack Algorithm had the best performance to obtain the breast area with PME, RAE and MHD of about 0.33%, 0.71% and 0.01 respectively. Meanwhile, there were two algorithms having good performance to obtain the fibroglandular tissue area, i.e. multilevel thresholding and maximum entropy with the value for PME (13.34%; 11:27%), RAE (53.34%; 51.26%) and MHD (1:47; 33.92) respectively. The obtained results suggest that zack algorithm is perfectly suited for getting breast area than multilevel thresholding and maximum entropy for getting fibroglandular tissue. It is one of the components to determine risk factors of breast cancer based on percentage of breast density.

Thresholding Algorithm Breast Area fibroglandular Area

Abstract doi.org/10.14569/IJACSA.2015.060117 PDF

18

Using Heavy Clique Base Coarsening to Enhance Virtual Network Embedding

Author 1: Ashraf A. Shahin

Network virtualization allows cloud infrastructure providers to accommodate multiple virtual networks on a single physical network. However, mapping multiple virtual network resources to physical network components, called virtual network embedding (VNE), is known to be non-deterministic polynomial-time hard (NP-hard). Effective virtual network embedding increases the revenue by increasing the number of accepted virtual networks. In this paper, we propose virtual network embedding algorithm, which improves virtual network embedding by coarsening virtual networks. Heavy Clique matching technique is used to coarsen virtual networks. Then, the coarsened virtual networks are enhanced by using a refined Kernighan-Lin algorithm. The performance of the proposed algorithm is evaluated and compared with existing algorithms using extensive simulations, which show that the proposed algorithm improves virtual network embedding by increasing the acceptance ratio and the revenue.

cloud computing network virtualization resource allocation substrate network fragmentation virtual network embedding virtual network coarsening

Abstract doi.org/10.14569/IJACSA.2015.060118 PDF

19

Ontology Based SMS Controller for Smart Phones

Author 1: Mohammed A. Balubaid Author 2: Umar Manzoor Author 3: Bassam Zafar Author 4: Abdullah Qureshi Author 5: Numairul Ghani

Text analysis includes lexical analysis of the text and has been widely studied and used in diverse applications. In the last decade, researchers have proposed many efficient solutions to analyze / classify large text dataset, however, analysis / classification of short text is still a challenge because 1) the data is very sparse 2) It contains noise words and 3) It is difficult to understand the syntactical structure of the text. Short Messaging Service (SMS) is a text messaging service for mobile/smart phone and this service is frequently used by all mobile users. Because of the popularity of SMS service, marketing companies nowadays are also using this service for direct marketing also known as SMS marketing.In this paper, we have proposed Ontology based SMS Controller which analyze the text message and classify it using ontology aslegitimate or spam. The proposed system has been tested on different scenarios and experimental results shows that the proposed solution is effective both in terms of efficiency and time.

Short Text Classification SMS Spam Text Analysis Ontology based SMS Spam Text Analysis and Ontology

Abstract doi.org/10.14569/IJACSA.2015.060119 PDF

20

Android Platform Malware Analysis

Author 1: Rubayyi Alghamdi Author 2: Khalid Alfalqi Author 3: Mofareh Waqdan

Mobile devices have evolved from simple devices, which are used for a phone call and SMS messages to smartphone devices that can run third party applications. Nowadays, malicious software, which is also known as malware, imposes a larger threat to these mobile devices. Recently, many news items were posted about the increase of the Android malware. There were a lot of Android applications pulled from the Android Market because they contained malware. The vulnerabilities of those Applications or Android operating systems are being exploited by the attackers who got the capability of penetrating into the mobile systems without user authorization causing compromise the confidentiality, integrity and availability of the applications and the user. This paper, it gave an update to the work done in the project. Moreover, this paper focuses on the Android Operating System and aim to detect existing Android malware. It has a dataset that contained 104 malware samples. This Paper chooses several malware from the dataset and attempting to analyze them to understand their installation methods and activation. In addition, it evaluates the most popular existing anti-virus software to see if these 104 malware could be detected.

Smartphone Security Malware Analysis Android Malware Static Analysis Dynamic Analysis SDK VAD

Abstract doi.org/10.14569/IJACSA.2015.060120 PDF

21

A Survey of Topic Modeling in Text Mining

Author 1: Rubayyi Alghamdi Author 2: Khalid Alfalqi

Topic models provide a convenient way to analyze large of unclassified text. A topic contains a cluster of words that frequently occur together. A topic modeling can connect words with similar meanings and distinguish between uses of words with multiple meanings. This paper provides two categories that can be under the field of topic modeling. First one discusses the area of methods of topic modeling, which has four methods that can be considerable under this category. These methods are Latent semantic analysis (LSA), Probabilistic latent semantic analysis (PLSA), Latent Dirichlet allocation (LDA), and Correlated topic model (CTM). The second category is called topic evolution models, which model topics by considering an important factor time. In the second category, different models are discussed, such as topic over time (TOT), dynamic topic models (DTM), multiscale topic tomography, dynamic topic correlation detection, detecting topic evolution in scientific literature, etc.

Topic Modeling Methods of Topic Modeling Latent semantic analysis (LSA) Probabilistic latent semantic analysis (PLSA) Latent Dirichlet allocation (LDA) Correlated topic model (CTM) Topic Evolution Modelin

Abstract doi.org/10.14569/IJACSA.2015.060121 PDF

22

Effectiveness of Iphone’s Touch ID: KSA Case Study

Author 1: Ahmad A. Al-Daraiseh Author 2: Diana Al Omari Author 3: Hadeel Al Hamid Author 4: Nada Hamad Author 5: Rawan Althemali

A new trend of incorporating Touch ID sensors in mobile devices is appearing. Last year, Apple released a new model of its famous iPhone (5s). One of the most anticipated and hailed features of the new device was its Touch ID. Apple advertised that the new technology will increase the security of its device, and it will also be used in different applications as a proof of identity. To make the issue more controversial, Apple announced a new financial service (Apple Pay) that allows iPhone 6 users to use their iPhone as a replacement to credit cards. The minute the new technology was introduced; many questions appeared that needed immediate answers. Users were concerned about how it will work? Is it easy to use? Is it really safe? And whether it will be effective in protecting their private data or not? In this paper we provide a comprehensive study of this feature. We discuss the advantages and disadvantages of using it. Then we analyze and share the results of a survey that we conducted to measure the effectiveness of such feature in the Kingdom of Saudi Arabia (KSA). In this study, we only focus on users from KSA, because if the device fails to protect mobile’s data, severe consequences might happen. Due to cultural believes in KSA, releasing mobile contents to unauthorized people could lead to crimes. Survey analysis revealed somewhat controversial results, while 76% of all participants believe that this technology will improve the device security, only 33% use it to lock/unlock their devices, and even a smaller percentage use it to make purchases.

IPhone 5s IPhone 6 IPhone 6 plus Fingerprint Touch ID

Abstract doi.org/10.14569/IJACSA.2015.060122 PDF

23

A Comparison of OSPFv3 and EIGRPv6 in a Small IPv6 Enterprise Network

Author 1: Richard John Whitfield Author 2: Shao Ying Zhu

As the Internet slowly transitions towards IPv6, the routing protocols that are used to forward traffic across this global network must adapt to support this gradual transition. Two of the most frequently discussed interior dynamic routing protocols today are the IETF’s OSPF and Cisco’s EIGRP routing protocol. A wealth of papers have compared OSPF and EIGRP in terms of converge times and resource usage, however few papers have assessed the performance of each when implementing their respective security mechanisms. Therefore a comparison of OSPFv3 and EIGRPv6 will be conducted using dedicated Cisco hardware. This paper will firstly introduce each protocol and its security mechanisms, before conducting a comparison of OSPFv3 and EIGRPv6 using Cisco equipment. After discussing the simulation results, a conclusion will be drawn to reveal the findings of this paper and which protocol performs the best upon implementing their respective security mechanisms within a small IPv6 enterprise network.

IPv4 IPv6 OSPFv3 IPSec ESP EIGRPv4 EIGRPv6 MD5

Abstract doi.org/10.14569/IJACSA.2015.060123 PDF

25

Orientation Capture of a Walker’s Leg Using Inexpensive Inertial Sensors with Optimized Complementary Filter Design

Author 1: Sebastian Andersson Author 2: Liu Yan

Accelerometers and gyroscope are often referred to as inertial sensors. They detect movement and are used for motion tracking systems in many fields. In recent years they have become much smaller, lighter and cheaper which makes them attractive for use in consumer electronics. The goal of this research is to use all these advantages to create a cheap, low cost and accurate motion tracking system. The system that will be developed is using two pairs of accelerometer + gyroscope sensors which communicates with an iOS device using BLE. The sensors are attached to a persons leg to capture the orientation of the leg while walking or running. Studying the movements of a persons leg can be useful regarding both performance and health aspects. To create the system, usage of inertial sensors and how to combine their data using the complementary filter have been studied. Further, several experiments were made to optimize the filter design for this kind of movement. The results shows how the orientation estimation differs in accuracy depending on different values of how the filter is designed. However, by using the right values, a fairly accurate orientation of the leg can be estimated which is proved by the simple visualization of the iOS application.

Motion capture Complementary Filter Inertial sen-sors Bluetooth Low Energy iOS.

Abstract doi.org/10.14569/IJACSA.2015.060125 PDF

26

Technical Perspectives on Knowledge Management in Bioinformatics Workflow Systems

Author 1: Walaa N. Ismail Author 2: M.Sabih Aksoy

Workflow systems by it’s nature can help bioin-formaticians to plan for their experiments, store, capture and analysis of the runtime generated data. On the other hand, the life science research usually produces new knowledge at an increasing speed; Knowledge such as papers, databases and other systems knowledge that a researcher needs to deal with is actually a complex task that needs much of efforts and time. Thus the management of knowledge is therefore an important issue for life scientists. Approaches has been developed to organize biological knowledge sources and to record provenance knowledge of an experiment into a readily resource are presently being carried out. This article focuses on the knowledge management of in silico experimentation in bioinformatics workflow systems.

Bioinformatics Workflows Knowledge Manage-ment Ontologies Scientific Workflows Semantic Web.

Abstract doi.org/10.14569/IJACSA.2015.060126 PDF

27

Public Transportation Management System based on GPSWiFi and Open Street Maps

Author 1: Saed Tarapiah Author 2: Shadi Atalla

Information technology (IT) has transformed many industries, from education to health care to government, and is now in the early stages of transforming transportation systems. Transportation faces many issues like high accidents rate in general, and much more rate in developing countries due to the lack of proper infrastructure for roads, is one of the reasons for these crashes. In this project we focus on public transportation vehicles - such as buses, and mini-buses -, where the goal of the project is to design and deploy a smart/intelligent unit attached to public vehicles by using embedded microcontroller and sensors and empowering them to communicate with each other through wireless technologies. The proposed Offline Intelligent Public Transportation Management System will play a major role in reducing risks and high accidents rate, whereas it can increase the traveler satisfactions and convenience. Here, we propose a method, software as well as a framework as enabling technologies to for evaluation, planning and future improvement the public transportation system. Our system even though can be as whole or parts can be applied all over the world we mostly target developing countries. This limitation mostly appear by consider off-shelf technologies such as WiFi, GPS and Open Street Maps (OSM).

ITS GPS WiFi Transportation OSM

Abstract doi.org/10.14569/IJACSA.2015.060127 PDF