Finding Relationship Between Mycobacterium tuberculosis and Mycobacterium leprae Using Association Rule Mining

Vol.1 No.2

Year: 2012

Issue: Mar-May

Title : Finding Relationship Between Mycobacterium tuberculosis and Mycobacterium leprae Using Association Rule Mining 

Author Name : M. Venkatesh Saravanakumar, K. Sivanthi , M. Sathya Prabha 

Synopsis : 

Data mining has been recognized as a new area for database research. In the area of knowledge discovery, association rule mining focuses on finding a set of all subsets of items, that frequently occur in database records and then extracting the interesting patterns found among them. Recent advancement in biotechnology has produced a massive amount of raw biological data which are accumulating at an exponential rate. Tuberculosis remains one of the leading causes of morbidity and mortality of mankind throughout the world. Mammalian cell entry (mce) gene is crucial in conferring virulence to Mycobacterium tuberculosis. This paper focuses on finding association between Mycobacterium tuberculosis and Mycobacterium leprae based on presence of mammalian cell entry gene. This gives useful insight for microbiologists in identifying and clustering the organisms.

A Study on Configuration Management in Software Environment

Vol.1 No.2

Year: 2012

Issue: Mar-May

Title  : A Study on Configuration Management in Software Environment   

Author Name  : V. Karamchand Gandhi   

Synopsis  :   

Configuration management (CM) is a field of management that focuses on establishing and maintaining consistency of a system or product's performance and its functional and physical attributes with its requirements, design, and operational information throughout its life. CM can be defined as the management of security features and assurances through control of changes made to hardware, software, firmware, documentation, test, test fixtures, and test documentation throughout the life cycle of an information system. CM for information assurance, sometimes referred to as Secure Configuration Management, relies upon performance, functional, and physical attributes of IT platforms and products and their environments to determine the appropriate security features and assurances that are used to measure a system configuration state. For example, configuration requirements may be different for a network firewall that functions as part of an organization's Internet boundary versus one that functions as an internal local network firewall. In this paper we studies and discuss about the basic needs of Software Configuration management, the role of preventive Maintenance and predictive maintenance.

The Role of Client Isolation in Protecting Wi-Fi Users from ARP Spoofing Attacks

Vol.1 No.2

Year: 2012

Issue: Mar-May

Title  : The Role of Client Isolation in Protecting Wi-Fi Users from ARP Spoofing Attacks   

Author Name  : Timur Mirzoev, Joel Stacey White   

Synopsis  :   

This study investigates the role of the client isolation technology Public Secure Packet Forwarding (PSPF) in defending 802.11 wireless (Wi-Fi) clients, connected to a public wireless access point, from Address Resolution Protocol (ARP) cache poisoning attacks, or ARP spoofing. Exploitation of wireless attack vectors such as these have been on the rise and some have made national and international news. Although client isolation technologies are common place in most wireless access points, they are rarely enabled by default. Since an average user generally has a limited understanding of IP networking concepts, it is rarely enabled during access point configurations. Isolating wireless clients from one another on unencrypted wireless networks is a simple and potentially effective way of protection. The purpose of this research is to determine if a commonly available and easily implementable wireless client isolation security technology, such as PSPF, is an effective method for defending wireless clients against attacks

A Literature Survey on Cloud Computing

Vol.1 No.1

Year: 2012

Issue: Dec-Feb

Title: A Literature Survey on Cloud Computing 

Author Name: Venkatesan Thillainayagam 

Synopsis: 

Cloud computing has recently emerged as a new paradigm for hosting and delivering services over the Internet. Cloud computing is attractive to business owners as it eliminates the requirement for users to plan ahead for provisioning, and allows enterprises to start from the small and increase resources only when there is a rise in service demand. However, despite the fact that cloud computing offers huge opportunities to the IT industry, the development of cloud computing technology is currently at its infancy, with many issues still to be addressed. In this review paper, we present a survey of cloud computing, highlighting its key concepts and architectural principles. The aim of this review paper is to provide a better understanding of the cloud computing environment and identify important research directions in this increasingly important area.

Achieving Green Computing Through Algorithmic Efficiency

Vol.1 No.1

Year: 2012

Issue: Dec-Feb

Title: Achieving Green Computing Through Algorithmic Efficiency 

Author Name: Soujanya Nemalikanti, Polavarapu Sindhura, Pavan kumar Tumalla, Srikanth Vemuru 

Synopsis: 

Power consumption has always been a crucial factor in deciding the performance of a computing system. The existing factors that serve as a yardstick to measure the performance include Space complexity and Time complexity. However, towards a Greener era of computing, it is the need of the hour to consider High Performance Systems that are energy efficient and thereby lesser heat and carbon emitters. The conventional approach ,on the software grounds, include redefining algorithms that focus on the reduction on the time complexity and Space Complexity of the program .We, hereby, propose a novel approach that takes into consideration the Power Optimization ,with respect to making an algorithm more efficient ,as an equally important issue for a greener solution towards energy efficient programs.

Modified Multi - Scale Morphological Watershed Segmentation Algorithm of 2d Images Using Hill Climbing Techniques

Vol.1 No.1

Year: 2012

Issue: Dec-Feb

Title: Modified Multi - Scale Morphological Watershed Segmentation Algorithm of 2d Images Using Hill Climbing Techniques 

Author Name: R. Chithra Devi, R. Ananda Devi , T. Saravana Kumar 

Synopsis: 

The Watershed transformation has recently become a popular tool for image segmentation.  The purpose of image segmentation is to divide an original image into homogeneous regions. There exist several approaches to implement image segmentation. In this paper, Modified Multi-Scale Morphological Watershed Segmentation Algorithm of 2D Images Using Hill Climbing Techniques is introduced as a method of image segmentation.  It is a fast and flexible algorithm for computing watersheds in digital grayscale images. A review of watersheds and related notion is first presented and the major methods to determine watersheds are discussed. The present algorithm is based on Hill Climbing process analogy, in which the flooding of the water in the picture is efficiently simulated using a queue of pixels. It is proved that the accuracy of this algorithm is superior to that of the existing implementations. In addition, its strongest point is that it is faster than any other watershed algorithm. Mainly it reduces the over — segmentation. 

Lines Loading Optimization in Transmission Expansion Planning Based on Binary PSO Algorithm

Vol.1 No.1

Year: 2012

Issue: Dec-Feb

Title: Lines Loading Optimization in Transmission Expansion Planning Based on Binary PSO Algorithm 

Author Name: M. Mahdavi, H. Monsef, A. Bagheri 

Synopsis: 

Transmission network expansion planning (TNEP) is an important component of power system planning. It determines the characteristic and performance of the future electric power network and influences the power system operation directly. In this paper, expansion planning has been implemented by merging lines loading parameter in the STNEP and including investment cost into the fitness function constraints using binary particle swarm optimization (BPSO) algorithm. The particle swarm optimization is a recently developed evolutionary algorithm (EA) based on the swarm behavior in the nature and has a strong ability to find the most optimistic results. The motivation for using the BPSO technique is to reduce design effort and find an optimum planning network. Expanded network will possess a maximum adequacy to provide load demand and also the transmission lines overloaded later. The proposed idea has been tested on the Garvers network. The results evaluation shows that the network will possess maximum efficiency economically.