A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Suresh Babu, M.
- Efficient VLSI Architecture for Lifting-Based Discrete Wavelet Packet Transform
Authors
1 Sri Indu College Of Engg., Hyd, AP, IN
2 Sri Indu College of Engg., Hyd, IN
3 Pricol Limited, Hyd, AP, IN
Source
Programmable Device Circuits and Systems, Vol 2, No 2 (2010), Pagination: 14-19Abstract
This brief presents a novel very large-scale integration (VLSI) architecture for discrete wavelet packet transform (DWPT).By exploiting the in-place nature of the DWPT algorithm, this architecture has an efficient pipeline structure to implement high-throughput processing without any on-chip memory/first-in first out access. A folded architecture for lifting-based wavelet filters is proposed to compute the wavelet butterflies in different groups simultaneously at each decomposition level. According to the comparison results, the proposed VLSI architecture is more efficient than the previous proposed architectures in terms of memory access,hardware regularity and simplicity, and throughput. The folded architecture not only achieves a significant reduction in hardware cost but also maintains both the hardware utilization and high-throughput processing with comparison to the direct mapped tree structured architecture.
Keywords
Discrete Wavelet Packet Transform (DWPT), Lifting Scheme, Pipeline Architecture, Very Large-Scale Integration (VLSI).- Language as a Barrier in Communiation of Information
Authors
1 Sreenidhi Institute of Science & Technology, Hyderabad, Telangana, IN
Source
International Journal of Information Library and Society, Vol 5, No 1 (2016), Pagination: 9-12Abstract
Communication is generally easier over shorter distances as more communication channels are available and less technology is required. Although modern technology often helps to reduce the impact of physical barriers, the advantages and disadvantages of each communication channel should be understood so that an appropriate channel can be used to overcome the physical barriers. Language is a medium to express our th ughts and feelings in any field. Free flow of information, from its origin to the ultimate consumer, has been a subject of concern to librarians, scientists and of late to Governments also. It is of immediate concern to scientists, authors etc. who are the ultimate consumers. There is growing acceptance among senior executives of the vital importance of information and knowledge in a post- industrial society.Keywords
Language, Barrier, Communication, Information.- Enterprise Risk Management Integrated framework for Cloud Computing
Authors
1 Department of Computer Applications, Madanapalle Institute of Technology and Science, Madanapalle, AP, 517325, IN
2 Department of Computer Science and Technology, Sri Krishnadevaraya University, Anantapur - 515003, AP, IN
3 Department of Computer Science and Technology, Sri Krishnadevaraya University, Anantapur – 515003, AP, IN
Source
International Journal of Advanced Networking and Applications, Vol 5, No 3 (2013), Pagination: 1939-1950Abstract
The emergence of cloud computing is a fundamental shift towards new on-demand business models together with new implementation models for the applications portfolio, the infrastructure, and the data, as they are provisioned as virtual services using the cloud. These technological and commercial changes have an impact on current working practices. Businesses need to understand the impact of the new combinations of technology layers, and how they work together. A crucial part of this is analyzing and assessing the risks involved. In the evolution of computing technology, information processing has moved from mainframes to personal computers to server-centric computing to the Web. Today, many organizations are seriously considering adopting cloud computing, the next major milestone in technology and business collaboration. A supercharged version of delivering hosted services over the Internet, cloud computing potentially enables organizations to increase their business model capabilities and their ability to meet computing resource demands while avoiding significant investments in infrastructure, training, personnel, and software. In fall 2010, a Google executive testified before a U.S. congressional subcommittee that more than three million businesses worldwide were customers of its cloud service offerings. As with any new opportunity, cloud computing entails commensurate risks. It brings to organizations a different dimension of collaboration and human interaction, new organizational dependencies, faster resource fulfilment, and new business models.Keywords
Server - Centric Computing, Virtualization, Cloud Computing.- Clustering Approach to Stock Market Prediction
Authors
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
Source
International Journal of Advanced Networking and Applications, Vol 3, No 4 (2012), Pagination: 1281-1291Abstract
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.- Information Delivery System Through Bluetooth in Ubiquitous Networks
Authors
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
Source
International Journal of Advanced Networking and Applications, Vol 1, No 1 (2009), Pagination: 57-62Abstract
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).- Use of Web Resources in JB Institute of Engineering and Technology Library, Hyderabad: A Study
Authors
1 JB Institute of Engineering & Technology, Telangana, IN
Source
International Journal of Information Library and Society, Vol 10, No 1 (2021), Pagination: 30-38Abstract
The study examined the practice of web resources in JB Institute of Engineering and Technology Library in Rangareddy District, Telangana. The purpose of this study is to identify the different types of web resources used by the faculty and students, frequency of suing web resources identify the constrains while using web resources on the informative results as shallow by the understudies in the impression of building and drug store understudies. This examination utilized and the way to deal with under-graduate class and teachers to distinguish them for the most part inclination of web resources, and to investigate the reason, recurrence and area of utilizing resources and express the preferences, and weaknesses, however, using informal academic communities. Data gathered through a self-structured online poll study and analyzed. This exploration container gives the inception to educational policymakers to present such conventional informal organization channels for literary purposes. This investigation offers help to focus on the new patterns of culture through research that is under-investigated in past writing. Majority of users used online databases like ‘IEEE’ resources for their academic purpose. Google was preferred mainly for getting information. Major constrain is low internet speed. Majority of users satisfied of resources and information.Keywords
Web Resources, E-Resources, Information Communication Technology.References
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