International Journal of Computational Intelligence Techniques

118-121

Authors: AL-DUBAI Y.F., AL-DUBAI A.F. , KHAMITKAR S.D

These days not only large organizations, but companies even small and medium-size computing look forward to the adoption of economic resources for their application, either through the introduction of a new concept of cloud computing in their environment. Cloud computing improves the performance of organizations by using minimal resources and administrative support, with a common network, valuable resources, bandwidth, and software and hardware in an effective manner in terms of cost and service limited dealings provider. Basically it's a new concept to provide a virtual resource for consumers. Consumers can request a cloud services and applications, solutions and can store a large amount of data from a different location. But due to the constantly increasing in popularity of cloud computing there is a growing risk that security is a major issue and higher. This paper discusses some of the main security risk in cloud computing, and present the reference architectures of cloud security solutions that can be implemented to treat those attacks.

76-78

Authors: SINGH S., KUMAR M., PRASAD S.V.A.V

The 3rd generation standard has adopted orthogonal frequency division multiplexing access (OFDMA) in downlink and single carrier-frequency division multiple access SC-FDMA used for the uplink transmissions, which is used single carrier modulation and frequency domain equalization. In this paper, we proposed a roll-off-factor scheme to reduce the peak-to-average power ratio (PAPR) of SC-FDMA signals. Moreover, the scheme can compress the large amplitude of signal, its maintaining the average constant power of signal. Using the Matlab simulation results show that the proposed roll-off-factor scheme can offer better PAPR reduction by properly choosing the control parameters. The proposed our companding scheme transform the original SCFDMA signals into power distributed function. The companding scheme can reduce the large amplitude signals, and its maintaining constant average power.

82-85

Authors: BANSAL S

Spamming is the practice of sending mass mailings to large numbers of people who have no relationship with the sender and who did not ask for such emails. Growing volume of spam mails has generated a need for development of filter detecting unsolicited emails. Many spam filtering techniques have made considerable progress in recent years. The predominant approaches include data mining methods and machine learning methods. Many techniques applied to text categorization like machine learning, information retrieval but they have the difficulty of high dimensionality. Many Spam filtering techniques have been proposed in the literature. But the performance of spam filters depends on the methods applied for reducing the dimensionality is still a challenging task. In this paper, we compare the vector space model which depends on “bags of words” and probabilistic model which depends on the probability. The results possess simplicity, flexibility, performance and formalism of the probabilistic model is more as compared to the vector space model.

90-98

Authors: PATEL R.B., JAIN D

Wireless sensor network (WSN) is envisioned as an economically viable paradigm and a promising technology because of its ability to provide a variety of services, such as intrusion detection, weather monitoring, security, tactical surveillance, and disaster management. In this article we present a Scalable Agent Pedestal (SAP) for WSNs. In SAP mainly mobile agent (MAs) are used to manage the WSNs. It provides common solution to WSNs fault tolerance, load balancing, energy & end-to-end network delay problems. SAP gives true distributed computing and communication environment with the help of MAs. It supports code mobility over the mobile/fixed base station (BS) and sensor node (SNs). A comparative study is also made.

102-106

Authors: RAO S.K., PRASAD A.B., SHETTY A.R., CHINMAI, HEGDE R., BHAKTHAVATHSALAM R

A smart navigation system based on an object detection mechanism through real time video processing has been designed to detect the presence of obstacles that impede its movement. This paper is discussed keeping in mind the navigation of the visually impaired. A PAL video camera feeds image frames pertaining within its vicinity at a rate of 30 fps to a Da-Vinci Digital Media Processor, DM642. The processor carries out image processing techniques on every frame and the result contains information about the object in terms of image pixels. The algorithm aims to select that object, among others detected in the frame, which poses maximum threat to the navigation. The selected object then translates to one out of three sounds, whose pitch informs navigator about the obstacles’ relative threat. This paper implements a more efficient algorithm compared to its predecessors.

112-113

Authors: THAKUR O.P. , DWARI S., KUSHWAHA A.K

Modern wireless technology has put a lot of emphasis on slim size and reliability, image processing, internetworking across the globe, making technology to be more intelligent and sophisticated to provide all time communication which should be cost effective, noise free, futuristic and robust. Micro strip technology can make antenna smaller in size and conformal to system component. With the use of Micro strip technology we can design an antenna which can transmit and receive the signal with greater reliability. But due to surface wave radiation the bandwidth becomes smaller, therefore to eliminate this drawback we use photonic band gap structure of substrate material to enhance the bandwidth and gain. In this paper we illustrate the methodology, design and simulation to implement such antenna to provide greater bandwidth for future communication system.

60-64

Authors: NIRPAL P.B., KALE K.V

In this paper we focus on software reliability with testing coverage, which will increase the software efficiency. Testing costs often account for up to 50% of the total expense of software development; hence any techniques leading to the automatic generation of test data will have great potential to considerably reduce costs. Hence, software quality managers have been looking for solutions to reduce testing costs and time. In our work, genetic algorithms that can automatically generate test cases to test selected path. This algorithm takes a selected path as a target and executes sequences of operators iteratively for test cases to evolve. We describe the implementation of our GAbased system and examine the effectiveness of this approach on a number of programs.

35-43

Authors: DHORE M.P., THAKARE V.M., KALE K.V

Document Image Analysis facilitates the transformation of any information presented on paper and addressed to human comprehension into an equivalent symbolic representation accessible to any kind of computer information processing. Wide variety of information is now being converted into electronic form for better storage and intelligent processing. This needs processing of documents using image analysis algorithms. The document analysis decomposes a document image into several consistent items which represent coherent components of the documents such as text lines, photographs and graphics, without any knowledge of specific format. This paper uses a morphological approach for segmentation of a document image. The morphological approach quantitatively describes operations effective for the shape of objects in an image. The mathematical morphology describes such operations by combinations of basic set operations between an image and a small object called a structuring element. It efficiently deals with geometrical features such as size, shape, contrast, or connectivity that can be considered as segmentation oriented features. The simplification for segmentation can be efficiently achieved by filters based on opening and closing by partial reconstruction. The size of structuring element is varied to allow the introduction of more local information to improve the segmentation. In this paper, considering the advantages of morphological approach, it is used for segmenting the document images. The proposed technique is robust enough to include various documents like multi-column, multi-article, multi-font, multi-orientation and multi-lingual.

53-55

Authors: MADHUSUDHANA RAO T.V., SETTY S.P

In this paper we present a novel methodology for image classification based on Generalized Gaussian Mixture models together with PCA. In this paper we consider the texture features in the identification of the images. The developed model is evaluated using various quality metrics such as PSNR, and MSE. The bench mark images are considered for experimentation. The output shows that the developed model outperforms the existing models in terms of image retrievals.

26-28

Authors: LAKSHMEESWARI G., RAJYA LAKSHMI D. , SRINIVAS Y

Conveying information secretly and establishing a hidden relationship between the message and its counterpart has been of great interest since long time. This paper presents a new scheme for coding Telugu alphabet set, its diacritics and compounds which can be used in the Linguistic Steganography as well as cryptic transmission of Telugu text. This encoding scheme helps its users to have better support in implementing the hiding techniques. This scheme is also useful to other similar Indian Languages.