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Search Results: 1 - 10 of 143568 matches for " K.VENKATESWARA RAO "
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Preparation of Nano Particle Mg0.2Fe0.8O by Solution Combustion Method and Their Characterization
Mohsen Ahmadipour,,K.Venkateswara Rao
International Journal of Innovative Technology and Exploring Engineering , 2012,
Abstract: The present paper investigated a preparation of Nano sized Mg0.2Fe0.8O by eco-friendly chemical combustion synthesis using magnesium and iron nitrates as oxidizers and the glycine as a fuel to drive the reaction. Powder characterization was carried out by X-ray diffraction (XRD) to estimate crystallite size, Particle Size Analyzer (PSA), Thermal gravimetric analyzer (TGA) for determining sample purity, weight loss percentage and decomposition reaction, Transmission electron microscope and Scanning electron microscope( SEM, TEM) were done to evaluation the morphology and average particle size. In this study are useful for establishing a simple method for the preparation of Mg0.2Fe0.8O Nano powders.
Performance Enhancement by Measuring Traffic at Edge Routers in a High Speed Networks
K.Venkateswara Rao,,E.Hemalatha
International Journal of Engineering Science and Technology , 2011,
Abstract: There is an enormous increase of traffic on the network due to usage of real-time multimedia applications, which became an indispensable part of Internet traffic in the present day world. These applications include voice over IP, streaming audio and video, Internet gaming and real-time video conferencing. Such applications are multimedia information, geographical pictures, social network applications and global sharing applications. In order to reduce this traffic, high quality of service is needed which would be possible by Adaptive mechanisms. Integrated service on the network flows offer a bounded delay packet delivery to support real time applications. To provide bounded delay service, networks must use admission control to regulate their load. It is very mandatory to allocate and manage resources for multimedia traffic and various concurrent applications flows with real-time performance, in order to provide reliable quality of service (QoS). In this paper, we develop an enhanced model and an algorithm for admission control of real-time flows; comparisons among various distinguish features of admission control algorithms. In our approach, admission decision is made for each flowat the edge routers, but it is scalable because per-flow states are not maintained and the admission algorithm is simple. In the proposed admission control scheme, an admissible bandwidth, which is defined as the maximum rate of a flow that can be accommodated additionally while satisfying the delay performance requirements for both existing and new flows, is calculated based on the available bandwidth measured by edge routers. The admissible bandwidth is a threshold for admission control, and thus, it is very important to accurately estimate the admissible bandwidth. The performance of the proposed algorithm is evaluated by taking a set of simulation experiments using bursty traffic flows and the results are found to be encouraging.
Performance Improvement and Efficient Approach for Mining Periodic Sequential Acess Patterns
D. Vasumathi,Dr. A. Govardhan,K.Venkateswara Rao
International Journal of Computer Science and Security , 2009,
Abstract: Surfing the Web has become an important daily activity for many users. Discovering and understanding web users’ surfing behavior are essential for the development of successful web monitoring and recommendation systems. To capture users’ web access behavior, one promising approach is web usage mining which discovers interesting and frequent user access patterns from web usage logs. Web usage mining discovers interesting and frequent user access patterns from web logs. Most of the previous works have focused on mining common sequential access patterns of web access events that occurred within the entire duration of all web access transactions. However, many useful sequential access patterns occur frequently only during a particular periodic time interval due to user browsing behaviors and habits. It is therefore important to mine periodic sequential access patterns with periodic time constraints. In this paper, we propose an efficient approach, known as TCSMA (Temporal Conditional Sequence Mining Algorithm), for mining periodic sequential access patterns based on calamander-based periodic time constraint. The calamander-based periodic time constraints are used for describing real-life periodic time concepts such as the morning of every weekend. The mined periodic sequential access patterns can be used for temporal-based personalized web recommendations. The performance of the proposed TCSMA is evaluated and compared with a modified version of Web Access Pattern Mine for mining periodic sequential access patterns. Keywords: Periodic Sequential Access Patterns, Web Access Patterns, Association Rule, Web Log Mining, TCSM&WAPM Algorithm
An Object-Oriented Modeling and Implementation of Spatio-Temporal Knowledge Discovery System
K.Venkateswara Rao,A.Govardhan,K.V.Chalapati Rao
International Journal of Computer Science & Information Technology , 2011,
Abstract: Spatiotemporal databases deal with changes to spatial objects with time. The Spatiotemporal knowledgediscovery process involves the integration of such database systems with data warehousing, data miningand online-analytical processing technologies. The applications in this domain will process spatial,temporal and attribute data elements and use spatio-temporal relationships among these elements. Theseapplications deal with the evolution of spatial objects and changes in their topological relationships,associations along with time. These advanced database applications require storing, management andprocessing of complex spatiotemporal data. In this paper we consider the classification and modelingrequirements for spatiotemporal applications, System modeling, preprocessing spatiotemporal data,discovering spatiotemporal topological relationships and extension of apriori algorithm for miningspatiotemporal frequent predicates. The design of an appropriate system that can capturespatiotemporal features of datasets is discussed. Prototype implementation of the system is carried out ontop of open source object relational spatial database management system called postgresql and postgis.The algorithms are experimented on historical cadastral datasets which are created using OpenJump.The results that are visualized using OpenJump software are presented.
Spatiotemporal Data Mining: Issues, Tasks And Applications
K.Venkateswara Rao,A.Govardhan,K.V.Chalapati Rao
International Journal of Computer Science and Engineering Survey , 2012,
Abstract: Spatiotemporal data usually contain the states of an object, an event or a position in space over a period of time. Vast amount of spatiotemporal data can be found in several application fields such as trafficmanagement, environment monitoring, and weather forecast. These datasets might be collected at different locations at various points of time in different formats. It poses many challenges in representing, processing, analysis and mining of such datasets due to complex structure of spatiotemporal objects and the relationships among them in both spatial and temporal dimensions. In this paper, the issues and challenges related to spatiotemporal data representation, analysis, mining and visualization of knowledge are presented. Various kinds of data mining tasks such as association rules, classification clustering for discovering knowledge from spatiotemporal datasets are examined and reviewed. System functional requirements for such kind of knowledge discovery and database structure are discussed. Finally applications of spatiotemporal data mining are presented.
Mining Topological Relationship Patterns from Spatiotemporal Databases
K.Venkateswara Rao,K.V.Chalapati Rao,A.Govardhan
International Journal of Data Mining & Knowledge Management Process , 2012,
Abstract: Mining topological relationship patterns involve three aspects. First one is the discovery of geometric relationships like disjoint, cover, intersection and overlap between every pair of spatiotemporal objects. Second one is tracking the change of such relationships with time from spatiotemporal databases. Third one is mining the topological relationship patterns. Spatiotemporal databases deal with changes to spatial objects with time. The applications in this domain process spatial, temporal and attribute data elements to find the evolution of spatial objects and changes in their topological relationships with time. These advanced database applications require storing, management and processing of complex spatiotemporal data. In this paper we discuss a model-view-controller based architecture of the system, the design of spatiotemporal database and methodology for mining spatiotemporal topological relationship patterns. Prototype implementation of the system is carried out on top of open source object relational spatial database management system called postgresql and postgis. The algorithms are experimented on historical cadastral datasets that are created using OpenJump. The resulting topological relationship patterns are presented.
An Architecture Framework For Spatiotemporal Data Mining System
K.Venkateswara Rao,A.Govardhan,K.V.Chalapati Rao
International Journal of Software Engineering & Applications , 2012,
Abstract: Spatiotemporal data mining is an emerging area of research. Applications for mining different kinds ofspatiotemporal patterns and trends are being developed by researchers in various domains. However,there is a need for underlying architecture framework for these applications to provide reusability ofanalysis and design. This research paper addresses such a requirement by adopting conceptual model ofarchitecture framework described in ISO/IEC 42010:201X standard for Systems and Software Engineering- Architecture Description. This research identifies stakeholders and their concerns, describes context,integration, information, functional, concurrency and technology viewpoints as architectural viewpointswhich provide reusability of analysis and design for spatiotemporal data mining applications. Thecorrespondence rules which describe correspondence among the viewpoints are also described.
Preparation And Characterization Of Magnetite Nanoparticles By Sol-Gel Method For Water Treatment
International Journal of Innovative Research in Science, Engineering and Technology , 2013,
Abstract: Environmental Pollution Such As Dyes Has Been Excessively Released Into The Environment And Has Created A Major Global Concern. Congo Red Is A Benzidine-Based Anionic Diazo Dye With Two Azo Groups. It Is Toxic To Many Organisms And Is A Suspected Carcinogen And Mutagen. The Presence Of Congo Red (CR) In Water Even At Very Low Concentration Is Highly Visible And Undesirable. Present Work Is Focused On Synthesis Of Magnetite Nanoparticles Which Showed A High Adsorption Capacity Of Congo Red And Is Useful In Removal Of CR From Wastewater. Magnetite (Fe3O4) Nanoparticles Have Been Successfully Synthesized By Sol–Gel Method By Using Ferric Nitrate (Fe (NO3)3.9H2O) And Ethylene Glycol (C2H6O2) As Precursors In Different Annealing Temperatures. The Obtained Nanoparticles Have Been Characterized By X-Ray Diffraction (XRD), Scanning Electron Microscope (SEM), X-Ray Energy Dispersive Spectrometer (EDS) And Particle Size Analyzer. XRD Measurements Indicate That The Obtained Nanoparticles Are Single Phase And The Particle Size Increased By Increasing The Temperature.
Graphene Oxide Thin Films: A Simple Profilometer for Film Thickness Measurement
Satish bykkam,K.Venkateswara Rao,Ch.Shilpa Chakra,V.Rajendar
International Journal of Engineering and Advanced Technology , 2013,
Abstract: Graphene oxide (GO) films are a few hundred nanometers thick semi-transparent films which have recently become commercially available. GO, used to make the films, is the oxidized form of graphene which can be visualized as a graphene sheet with its basal plane decorated by oxygen-containing groups. GO, produced using the Hummers method, is hydrophilic, solution processable, and an insulator. GO can also be treated to be converted into reduced Graphene Oxide (rGO), which is conductive. The GO can be deposited onto a substrate such as FTO, ITO and glass, to create films. The resulting graphene oxide film measured by a simple profilometer based upon a commercial strain gauge force transducer is described. It has been used on polymer film coated substrates to determine film thicknesses on the order of 20 mn. Measured film thicknesses agree with gravimetrically determined values to within 20 nm and also suitable to potential applications.
Synthesis and Characterization of -Al2O3 Platelet Nanoparticle as a Direct Product of Solution Combustion Method
Hamed Sadabadi,,Adeleh Aftabtalab,,Shirzad Zafarian,,K.Venkateswara.Rao
International Journal of Engineering and Advanced Technology , 2013,
Abstract: Crystalline -Al2O3 was synthesized by the solution combustion of aluminum nitrate and urea in aqueous media. The effect of conditions was further investigated in detail. The XRD analysis shows that the crystalline -Al2O3 was obtained directly by SC method without annealing at high temperature above 1100oC, and the crystalline size can estimate from XRD result. The SEM micrograph shows the morphology of particles. Thermal behavior of -Al2O3 was evaluated by applying Thermal gravimetric and differential thermal analysis (TG/DTA).
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