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Efficient channel allocation based on priority of the video in VoD systems

引用

3rd Asian Applied Computing Conference, AACC 2005

作者： Sujatha, D.N. Rajesh, K.V. Girish, K. Venugopal, K.R. Patnaik, L.M. Department of Computer Science and Engineering Bangalore University India Microprocessor Applications Laboratory Indian Institute of Science Bangalore India

ISBN: (纸本)1860948278

Today's technology offers easy access to multimedia services through high-speed communication networks. A Video-on-Demand (VoD) service allows customers to connect to an on-line video server and asynchronously watch videos. A Video-on-Demand system is typically implemented by Client-Server architecture. This paper presents a scheme of channel allocation based on priority of the requested video, to increase efficient channel utilization and lower the download time. This allocation scheme shows better performance when compared to conventional way of allocating channels.

关键词： Multimedia services

来源：评论

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A hybrid clustering and classification technique for soil data mining

A hybrid clustering and classification technique for soil da...

引用

IET-UK International Conference on Information and Communication Technology in Electrical sciences, ICTES 2007

作者： Vibha, L. HarshaVardhan, G.M. Prashanth, S.J. Shenoy, P Deepa Venugopal, K.R. Patnaik, L.M. Department of Computer Science and Engineering University Visvesvaraya College of Engineering Bangalore 560 001 India Microprocessor Applications Laboratory Indian Institute of Science Bangalore 560 012 India

ISBN: (纸本)9780863419379

Predictive soil modelling using geostatistical methods is a research concept in modern soil science and soil geography for the last two decades. One of the reasons for this lack of soil spatial data is that conventional soil survey methods are relatively slow, qualitative and expensive. Spatial data sets covering large areas like digital geomorphographical maps, geological, land use, and climate data are available and these geo-datasets contain information about soil formation and resulting hydrologic variables etc which are needed to extract relevant soil information. In this paper we present an efficient hybrid model that was achieved by first clustering the data and then classifying it, and using the spatial conceptual information extracted from the environmental variables. This paper assists in assessment of the status of food production associated with land degradation and estimate indicators of soil nutrient mining by a country and region. The findings and conclusions of this paper result from the monitoring of the nutrient mining of agricultural lands in a country which have a direct implication on policy development. We propose a framework where soil is classified into different types, then a future work could be to predict soil fertility, based on which you can decide upon the fertilisers and suitable crops that could be cultivated with expertise.

关键词： Soils

来源：评论

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Robust and high capacity image steganography using SVD

Robust and high capacity image steganography using SVD

引用

IET-UK International Conference on Information and Communication Technology in Electrical sciences, ICTES 2007

作者： Babu, K Suresh Raja, K.B. Rao K, Uma Maheshwar A.R.K., Rashmi K R.V.K., Venugopal K Patnaik, L.M. Department of Computer Science and Engineering University Visvesvaraya College of Engineering Bangalore University Bangalore 560 001 India Microprocessor Applications Laboratory Indian Institute of Science Bangalore India

ISBN: (纸本)9780863419379

Steganography plays an important role in the field of information hiding for secret communication. The proposed algorithm Robust and high capacity image steganography using SVD (RHISSVD) is based on singular value decomposition (SVD) transform of digital images. In this technique two important properties of SVD are utilized, namely (i) The singular values (SV) represents luminance or energy of the digital image layer. (ii) The respective pair of singular vectors represents the image geometry. Slight variation of the SV cannot affect the visual perception of the image. The cover image is transformed in to SVDs and the secret message to be transmitted is embedded in to singular values of cover image. It is observed that RHISSVD has an improvement in PSNR and capacity compared to existing algorithms.

关键词： Singular value decomposition

来源：评论

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Self-Healing antchain for increasing lifespan in wireless sensor networks

Self-Healing antchain for increasing lifespan in wireless se...

引用

IET-UK International Conference on Information and Communication Technology in Electrical sciences, ICTES 2007

作者： Tarannum, Suraiya Anitha, V. Priya, A.G. Adrakatti, Rajeshwari Nalini, L. Venugopal, K.R. Patnaik, L.M. Department of Computer Science and Engineering University Visvesvaraya College of Engineering Bangalore - 560 001 India Microprocessor Applications Laboratory Indian Institute of Science Bangalore-560 012 India

ISBN: (纸本)9780863419379

A Wireless Sensor Network (WSN) consists of a large number of randomly deployed sensor nodes. These sensor nodes organize themseleves into a cooperative network and perform the three basic functions of sensing, computations and *** paper proposes a at-routing technique for such a network consisting of homogenous nodes. It is an energy-effiient data gathering protocol where sensor nodes in the network form an Antchain. The role of Antchain head and Antchain tail for each data gathering process is scheduled by means of a Time Division Multiple Access technique which ensures uniform depletion of energy among sensor nodes. The real advantage comes to light in the event of the death of a node. The proposed algorithm heals the network in such a way that only one node communicates with the base station at the end of the data gathering process. Simulation results indicate that Self-Healing AntChain performs better than other AntChain systems in terms of network lifetime, average energy consumed and aggregated data delivery ratio, in addition to being a highly fault-tolerant, exible and adaptive system.

关键词： Sensor nodes

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Probabilistic Average Energy Flooding to maximize lifetime of mobile ad hoc networksx

Probabilistic Average Energy Flooding to maximize lifetime o...

引用

3rd International Conference on Wireless Communication and Sensor Networks (WCSN-2007)

作者： Thriveni, J. Vishwanath, K.R. Venugopal, K.R. Patnaik, L.M. Department of Computer Science and Engineering University Visvesvaraya College of Engineering Bangalore University Bangalore 560 001 India Microprocessor Applications Laboratory Indian Institute of Science Bangalore India

Wireless mobile ad hoc stations have limited battery capacity, hence, ad hoc routing protocols ought to be energy conservative. Route discovery is a common operation in routing to resolve many issues. In a Mobile Ad Hoc Network (MANET) in particular, due to host mobility, such operations are expected to be executed more frequently. A straightforward broadcasting by flooding is usually very costly and will result in serious redundancy, contention, and collision, resulting in broadcast storm problem. In this paper, an algorithm is proposed to improve flooding performance of Ad Hoc On-Demand Distance Vector (AODV) routing protocol called, Probabilistic-Average-Energy-flooding (PAEF) which periodically performs an averaging algorithm Calculate-Average-Energy (CAE) to estimate the average energy Eavg. This algorithm is used in route discovery process to make a rebroadcast decision by the node. Our simulation results show an improvement in the network lifetime and the throughput compared to traditional AODV.

关键词： Mobile ad hoc networks

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Self-healing antchain for increasing lifespan in Wireless Sensor Networks

Self-healing antchain for increasing lifespan in Wireless Se...

引用

2007 IET-UK International Conference on Information and Communication Technology in Electrical sciences (ICTES 2007)

作者： Suraiya Tarannum V. Anitha A. G. Priya Rajeshwari Adrakatti L. Nalini K. R. Venugopal L. M. Patnaik Department of Computer Science and Engineering University of Visvesvaraya College of Engineering Bangalore University India Microprocessor Applications Laboratory Indian Institute of Science Bangalore India

A Wireless Sensor Network (WSN) consists of a large number of randomly deployed sensor nodes. These sensor nodes organize themselves into a cooperative network and perform the three basic functions of sensing, computations and *** paper proposes a flat-routing technique for such a network consisting of homogenous nodes. It is an energy-efficient data gathering protocol where sensor nodes in the network form an Antchain. The role of Antchain head and Antchain tail for each data gathering process is scheduled by means of a Time Division Multiple Access technique which ensures uniform depletion of energy among sensor nodes. The real advantage comes to light in the event of the death of a node. The proposed algorithm heals the network in such a way that only one node communicates with the base station at the end of the data gathering process. Simulation results indicate that Self-Healing AntChain performs better than other AntChain systems in terms of network lifetime, average energy consumed and aggregated data delivery ratio, in addition to being a highly fault-tolerant, flexible and adaptive system.

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Secure Steganography using Colour Palette Decomposition

Secure Steganography using Colour Palette Decomposition

引用

International Conference on Signal Processing, Communication and Networking (ICSCN)

作者： K.B. Raja S. Siddaraju K.R. Venugopal L.M. Patnaik Department of Computer Science Engineering University Visvesvaraya College of Engineering Bangalore University Bangalore India Microprocessor Applications Laboratory Indian Institute of Science Bangalore India

The steganography is the embedding of secret message in the cover image for covert communication. In this paper we present a high capacity data embedding using colour palette decomposition (CPD) in which the payload is embedded into the cover image as an index of shifted centroids which is derived from the clustering of the cover image to derive the stego image. The error control coding is applied to stego image to increase PSNR, capacity and security. It is observed that our algorithm has higher PSNR and capacity in comparison to earlier works

关键词： Steganography Color Payloads Image retrieval Colored noise Frequency domain analysis Pixel Error correction PSNR Watermarking

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Sink administered Load Balanced Dynamic Hierarchical Protocol in Wireless Sensor Networks

Sink administered Load Balanced Dynamic Hierarchical Protoco...

引用

2007 IET-UK International Conference on Information and Communication Technology in Electrical sciences (ICTES 2007)

作者： Suraiya Tarannum S. Srividya D. S. Asha R. Padmini L. Nalini K. R. Venugopal L. M. Patnaik Department of Computer Science and Engineering University of Visvesvaraya College of Engineering Bangalore University Bangalore India Microprocessor Applications Laboratory Indian Institute of Science Bangalore India

Effective utilization of limited power resources by the sensors is pre-eminent to the wireless sensor networks. Organizing the network into balanced clusters based on assigning equal number of sensors to each cluster may have the consequence of unbalanced load on the cluster heads. By-product of this is unbalanced consumption of the energy by the nodes which leads to minimization of network lifetime. We put forth a Sink administered load balanced dynamic hierarchical protocol (SLDHP) to balance the load on the principal nodes. Hierarchical layout of the sensors endows the network with increased lifespan. Outcome of this protocol also includes substantial saving of the energy consumed by the nodes. Simulation results indicate a significant improvement of performance over base station controlled dynamic clustering protocol (BCDCP).

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A hybrid clustering and classification technique for soil data mining

A hybrid clustering and classification technique for soil da...

引用

2007 IET-UK International Conference on Information and Communication Technology in Electrical sciences (ICTES 2007)

作者： L. Vibha G.M. Harsha Vardhan S.J. Prashanth P. Deepa Shenoy K.R. Venugopal L.M. Patnaik Department of Computer Science and Engineering University Visvesvaraya College of Engineering Bangalore 560 001 India Department of Computer Science and Engineering University of Visvesvaraya College of Engineering Bangalore University Bangalore India Microprocessor Applications Laboratory Indian Institute of Science Bangalore India

Predictive soil modelling using geostatistical methods is a research concept in modern soil science and soil geography. One of the reasons for this lack of soil spatial data is that conventional soil survey methods are relatively slow, qualitative and expensive. Spatial data sets covering large areas like digital geomorphographical maps, geological, land use, and climate data are available and these geo-datasets contain information about soil formation and resulting hydrologic variables etc which are needed to extract relevant soil information. In this paper we present an efficient hybrid model that was achieved by first clustering the data and then classifying it, and using the spatial conceptual information extracted from the environmental variables. This paper assists in assessment of the status of food production associated with land degradation and estimate indicators of soil nutrient mining by a country and region. The findings and conclusions of this paper result from the monitoring of the nutrient mining of agricultural lands in a country which have a direct implication on policy development. We propose a framework where soil is classified into different types, then a future work could be to predict soil fertility, based on which you can decide upon the fertilizers and suitable crops that could be cultivated with expertise.

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Robust and high capacity image steganography using SVD

Robust and high capacity image steganography using SVD

引用

2007 IET-UK International Conference on Information and Communication Technology in Electrical sciences (ICTES 2007)

作者： K. Suresh Babu K.B. Raja Uma Maheshwar K. Rao K.A. Rashmi K.R. Venugopal L.M. Patnaik Department of Computer Science and Engineering University of Visvesvaraya College of Engineering Bangalore University Bangalore India Department of Computer Science and Engineering University Visvesvaraya College of Engineering Bangalore University 560 001 India Microprocessor Applications Laboratory Indian Institute of Science Bangalore India

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