International Journal of Computer Networks and Communications Security

Volume 5, Issue 12, December 2016

 

 

Grid Technology and its Strategic Adoption in Various Industries
 

Grid Technology and its Strategic Adoption in Various Industries

Pages: 253-258 (6) | [Full Text] PDF (259 KB)
S Haq, LC.C Fung
University of Sindh, Jamshoro
Murdoch University, Australia

Abstract -
Grid computing has emerged as one of the innovative technology in the field of information Technology. The tremendous benefit of Grid computing technologies has procured the interest of various the industries to adopt it but still the adoption this technology is at nascent stage. Much of research is being carried out to make this technology more viable according the requirements of various industries.This research paper endow with analytical view of research initiatives which brings this technology to be used in various industries, the adoption of grid enterprise grid in various industries i.e Oil and Gas , Electronic , Financial, Manufacturing, Life sciences and Government. The research also has highlighted the trends towards the strategic adoption of Grid technology according to classification of industry. The analysis on Grid technology and its adoption in various industries has been derived from multiple sources of information, i.e research journal, grid technology website and This paper is organized in five sections, first Section has provided the introduction to grid technology, second section has highlighted the Grid computational services, third Section has described the capabilities of grid technology, fourth section has discussed the adoption of Grid technology in various industries and section five is conclusion.
 
Index Terms - Grid computing, Grid computing services, Grid capabilities

Citation - S Haq, LC.C Fung. "Grid Technology and its Strategic Adoption in Various Industries ." International Journal of Computer Science and Software Engineering 5, no. 12 (2016): 253-258.

Detecting Inconsistences in Multi-view UML Models
 

Detecting Inconsistences in Multi-view UML Models

Pages: 259-263 (5) | [Full Text] PDF (317 KB)
V Weber, K Farias, LJ Goncales, V Bischoff
Interdisciplinary Graduate Program in Applied Computing (PIPCA), University of Vale do Rio dos Sinos (UNISINOS), Sao Leopoldo, Rio Grande do Sul, Brazil

Abstract -
Inconsistencies in conflicting multi-view UML models can be major obstacles to the quality and productivity of software development. In the current literature it can be observed that some tools were developed to support the detection of inconsistencies, but none of them are consolidated neither in the academic environment nor in the current market. In addition, many of these tools only evaluate syntactic inconsistencies, not considering semantic inconsistencies. Therefore, the tools available in the state-of-the-art are often unable to detect syntactic and semantic inconsistencies in conflicting multi-view UML models. To address this issue, we propose DIUML, a tool that includes: (i) detection of inconsistencies in multi-view UML models through design metrics, and (ii) detection of syntactic and semantic inconsistencies, indicating objects and affected classes, also qualifying the severities of each type of inconsistency. Our preliminary evaluation indicated that DIUML was able to detect inconsistencies in multi-view UML models with 337 elements from 10 different combinations of Class Diagrams and Sequence Diagrams.
 
Index Terms - Inconsistencies Dectection, Multi-view Models, UML Models, Tool

Citation - V Weber, K Farias, LJ Goncales, V Bischoff. "Detecting Inconsistences in Multi-view UML Models ." International Journal of Computer Science and Software Engineering 5, no. 12 (2016): 259-263.

Towards an Architecture for Integration of Feature Models
 

Towards an Architecture for Integration of Feature Models

Pages: 264-271 (8) | [Full Text] PDF (498)
V Bischoff, K Farias, LJ Goncales, V Weber
Interdisciplinary Postgraduate Program on Applied Computing (PIPCA), University of Vale do Rio dos Sinos (UNISINOS), Av. Unisinos, 950, Cristo Rei, Sao Leopoldo RS, Brazil, CEP 93022-750

Abstract -
The integration of variability models (e.g., feature models) is considered an error-prone activity, which can consume a lot of effort from development teams working in parallel, thereby compromising developers productivity as well as the quality of software developed. For this, many integration techniques have been proposed in last decades to support developers to integrate feature models. However, there is a lack of a generic architecture that helps developers to produce integration tools in the current literature. To overcome this shortcoming, this work proposes a flexible, component-based architecture for supporting the integration of feature models. In addition, a model integration workflow for helping developers to improve the understanding of the crucial composition activities and their relationships is also presented.
 
Index Terms - Feature Model, Model Integration, Tool Support, Architecture

Citation - V Bischoff, K Farias, LJ Goncales, V Weber. "Towards an Architecture for Integration of Feature Models." International Journal of Computer Science and Software Engineering 5, no. 12 (2016): 264-271.

DATA: Survey of Data Acquisition Techniques on Android Devices
 

DATA: Survey of Data Acquisition Techniques on Android Devices

Pages: 272-282 (11) | [Full Text] PDF (824 KB)
M Shahbaz, A Bilal, U Ahmad
SEECS, National University of Sciences and Technology, Pakistan
College of Computing, Riphah International University, Pakistan

Abstract -
The usage of Android smartphones as cellular mobile phones is very popular and dramatically increasing around the globe because of the rich functionality and an open source android operating system developed by Google Inc. In this report different digital forensics techniques are explored on android smartphones considering different scenarios of the android devices based on exiting methods. Also an android application was developed which retrieves contacts from smartphone and dumps on the external SD card in a unique case scenario when the android device has enabled adb while the device has obstructed screen lock present. A small survey was conducted based on how users use their android devices from a forensic perspective in this course class room for the possibilities of different scenarios of the android device. An android smartphone was tested for digital forensics with a unique scenario and a custom recovery was flashed and got the root access and using adb in recovery mode obstructed screen with pattern lock was disabled on the stock rom. These forensics techniques can be used for digital forensics on android smartphones when an android device is retrieved which is used either in a criminal act or the owner of the device is under investigation.
 
Index Terms - Android, Smartphone, Digital Forensics, adb

Citation - M Shahbaz, A Bilal, U Ahmad. "DATA: Survey of Data Acquisition Techniques on Android Devices." International Journal of Computer Science and Software Engineering 5, no. 12 (2016): 272-282.

Rail Defect Detection and Classification with Real Time Image Processing Technique
 

Rail Defect Detection and Classification with Real Time Image Processing Technique

Pages: 291-296 (8) | [Full Text] PDF (1.23 MB)
C Tastimur, H Yetis, M Karakose and E Ak??n
Computer Engineering Department, Firat University, Elazig, Turkey

Abstract -
Rail defect detection has a great importance for railway transportation. Because faults on the rails cause to problems such as the cost, the disruption of transportation and the safety. In this study, based real-time video processing algorithm used Morphological feature extraction is recommended to detection defects on railroad. The rail is detected by applying Hough Transform and image processing techniques to rail images obtained from the real time camera. Features of the detected rail images are extracted with applying morphological operations and defected regions are identified. Headcheck, fracture, scour and undulation failures are detected through proposed method. And then the classification of defects is performed. In the classification step, Haar-like features based AdaBoost classifier is utilized. In this study, results with low uptime and high success rate are acquired by performing all steps of proposed algorithm to the images of rail taken under different lighting and direction.
 
Index Terms - Rail Track Detection, Rail Defects, Defects Classification, Hough Transform, Morphological Operation

Citation - C Tastimur, H Yetis, M Karakose and E Ak??n. "Rail Defect Detection and Classification with Real Time Image Processing Technique." International Journal of Computer Science and Software Engineering 5, no. 12 (2016): 291-296.

Contextualization of Defect Management in Data Integration
 

Contextualization of Defect Management in Data Integration

Pages: 291-296 (6) | [Full Text] PDF (621 KB)
H TAHIR and P BREZILLON
LIP6, University Pierre & Marie Curie (UPMC), 4 Place Jussieu, 75005, Paris, France

Abstract -
The management of defect tracking is mostly useful for any software of an organization. In data integration project, as development of ETL (Extraction, Transformation and Loading) processes is completed, the testing phase will be started. If bugs are found, test engineers can log such bugs in a bug tracking system to the different actors: Developers, DBA (A database Administrator), etc. For instance, in the case of database bugs, after the first cycle of bug tracking is completed, the system will notify the DBA. The DBA can log in to system and get the bug list with priority. He can then solve the bug and change the status of that bug in the system. The problem is that most of the time, only technical factors are taken into account. Contextual elements about Human and social factors are not considered (i.e. experience of actors). Therefore it is important to add the context in which bug tracking tasks should be performed. This paper proposes to use Contextual Graphs formalism to improve existing procedures for bug tracking in a data migration project.
 
Index Terms - Context, Contextual Graphs, Data Integration, Defect tracking, Procedures

Citation - H TAHIR and P BREZILLON. "Contextualization of Defect Management in Data Integration." International Journal of Computer Science and Software Engineering 5, no. 12 (2016): 291-296.