International Journal of Advanced Networking and Applications

M. Suresh Babu ¹, N. Geethanjali ², B. Satyanarayana ³

Affiliations
1 Intel Institute of Science, Anantapur, Andhra Pradesh, IN
2 Department of Computer Science, S.K. University, Anantapur, IN
3 Board of Studies, Department of Computer Science, Sri Krishnadevaraya University, Anantapur, IN

Abstract

Clustering is an adaptive procedure in which objects are clustered or grouped together, based on the principle of maximizing the intra-class similarity and minimizing the inter-class similarity. Various clustering algorithms have been developed which results to a good performance on datasets for cluster formation. This paper analyze the major clustering algorithms: K-Means, Hierarchical clustering algorithm and reverse K means and compare the performance of these three major clustering algorithms on the aspect of correctly class wise cluster building ability of algorithm. An effective clustering method, HRK (Hierarchical agglomerative and Recursive K-means clustering) is proposed, to predict the short-term stock price movements after the release of financial reports. The proposed method consists of three phases. First, we convert each financial report into a feature vector and use the hierarchical agglomerative clustering method to divide the converted feature vectors into clusters. Second, for each cluster, we recursively apply the K-means clustering method to partition each cluster into sub-clusters so that most feature vectors in each subcluster belong to the same class. Then, for each sub cluster, we choose its centroid as the representative feature vector. Finally, we employ the representative feature vectors to predict the stock price movements. The experimental results show the proposed method outperforms SVM in terms of accuracy and average profits.

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Sanjay Kumar Chowlam ¹, N. Geethanjali ¹

Affiliations
1 Department of Master of Computer Applications, Sri Krishna Devaraya University, Anantapur, IN

Abstract

In this paper, we first discuss the predominant assail abilities in the mobile ad hoc networks, which have made it much easier to prone to attacks than the traditional wired network. Then we discuss the basic operations of our public-key management scheme:creation of public (and private) keys, issuing public-key certificates, storage of certificates, and key authentication by the nodes themselves without the control of any principal authority. More over the public key management scheme serves as an underlying mechanism for both key distribution and establishing security relationships between nodes.

Keywords

Mobile Adhoc Network, Ubiquitous, Public Key, Assail Ability, Misbehaving Users.

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D. Asha Devi ¹, M. Suresh Babu ², V. L. Pavani ³, N. Geethanjali ⁴

Affiliations
1 INTELL Engineering College, Anantapur-515004, IN
2 INTELL Institute of Science, Anantapur-515004, IN
3 Beasant Institute of Technology & Science, Anantapur-515004, IN
4 Sri Krishnadevaraya University, Anantapur-515053, IN

Abstract

Ubiquitous and pervasive computing (UPC) is a popular paradigm whose purpose is to emerge computers into the real world, to serve humans where the ubiquitous network is the underneath infrastructure. In order to provide ubiquitous services (u-Service) which deliver useful information to service users without human intervention, this paper implements a proactive information delivery system using Bluetooth technology. Bluetooth is a lowpowered networking service that supports several protocol profiles, most importantly file transfer. Combined together, ubiquitous computing and Bluetooth have the potential to furnish ubiquitous solutions (u-Solutions) that are efficient, employ simplified design characteristics, and collaboratively perform functions they are otherwise not capable. Thus, this paper first addresses the current Bluetooth technology. Then, it suggests and develops the proactive information delivery system utilizing Bluetooth and ubiquitous computing network concepts. The proactive information delivery system can be used in many ubiquitous applications such as ubiquitous commerce (u-Commerce) and ubiquitous education (u- Education).

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