Pub Date : 2012-07-26DOI: 10.1109/ICCCNT.2012.6396070
B. Hariharan, Aparna Vadakkepatt, Sangeeth Kumar
The advancements in the field of wireless technology has led to a widespread acceptance of multimedia on wireless networks. The increasing popularity of multimedia networking applications such as e-learning has brought in more requirements in educational institutions for the students to learn online Current e-learning systems do not facilitate synchronous learning i.e., there is no interaction like that of a real class. However to impart effective learning, interaction between a student in the remote class-room and the teacher in the main classroom is mandatory. To enhance this virtual classroom, an automatic e-learning system is been proposed. Wireless technology which consists of collection of audio and video sensors tracks and identifies the speaker of interest in the classroom so that the lecturer on the other end will be able to effectively interact and can have a one to one communication with the focused student. We describe in this paper an automated system for student localization using audio and video processing, as a first step towards achieving such an automated system.
{"title":"Remote student localization using audio and video processing for synchronous interactive e-learning","authors":"B. Hariharan, Aparna Vadakkepatt, Sangeeth Kumar","doi":"10.1109/ICCCNT.2012.6396070","DOIUrl":"https://doi.org/10.1109/ICCCNT.2012.6396070","url":null,"abstract":"The advancements in the field of wireless technology has led to a widespread acceptance of multimedia on wireless networks. The increasing popularity of multimedia networking applications such as e-learning has brought in more requirements in educational institutions for the students to learn online Current e-learning systems do not facilitate synchronous learning i.e., there is no interaction like that of a real class. However to impart effective learning, interaction between a student in the remote class-room and the teacher in the main classroom is mandatory. To enhance this virtual classroom, an automatic e-learning system is been proposed. Wireless technology which consists of collection of audio and video sensors tracks and identifies the speaker of interest in the classroom so that the lecturer on the other end will be able to effectively interact and can have a one to one communication with the focused student. We describe in this paper an automated system for student localization using audio and video processing, as a first step towards achieving such an automated system.","PeriodicalId":364589,"journal":{"name":"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126557466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-07-26DOI: 10.1109/ICCCNT.2012.6395871
B. Sridhar, C. Arun
Image watermarking particularly has attracted lot of attention in the research community. In this paper we propose a multiple watermarking based on DWT with the motivation to maintain the quality of the image. The original image was interlacing into even and odd rows of images and deinterlaces the two images. For hiding watermark images wavelet based approach is employed in two deinterlace images. Stack the two watermarked images in to single image by introducing zeros of even and odd rows in the two watermarked images, At the end again interlacing and deinterlacing of an images and extracts both the watermark Images. Simulation results show the watermark imperceptibility and robustness. Also the quality of the watermarked image is excellent and there is strong resistant against many geometrical attacks.
{"title":"On secure multiple image watermarking techniques using DWT","authors":"B. Sridhar, C. Arun","doi":"10.1109/ICCCNT.2012.6395871","DOIUrl":"https://doi.org/10.1109/ICCCNT.2012.6395871","url":null,"abstract":"Image watermarking particularly has attracted lot of attention in the research community. In this paper we propose a multiple watermarking based on DWT with the motivation to maintain the quality of the image. The original image was interlacing into even and odd rows of images and deinterlaces the two images. For hiding watermark images wavelet based approach is employed in two deinterlace images. Stack the two watermarked images in to single image by introducing zeros of even and odd rows in the two watermarked images, At the end again interlacing and deinterlacing of an images and extracts both the watermark Images. Simulation results show the watermark imperceptibility and robustness. Also the quality of the watermarked image is excellent and there is strong resistant against many geometrical attacks.","PeriodicalId":364589,"journal":{"name":"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122540771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-07-26DOI: 10.1109/ICCCNT.2012.6395999
Lizy Abraham, Dr. M. Sasikumar
The problem of shadowing is particularly significant in high-resolution satellite imaging (HRSI) which causes either a reduction or total loss of information in the image. The research on segmenting shadow regions is of great significance for image interpretation and it is a supportive tool to detect manmade structures. This paper proposes a solution to the problem of automatic extraction of shadow features in color satellite images with high spatial resolution. The algorithm separates shadow from non-shadow by considering the spatial properties of the segmented regions. Experiments are executed on high resolution satellite images, and the results confirm the validity of the proposed method.
{"title":"An efficient shadow detection method for high resolution satellite images","authors":"Lizy Abraham, Dr. M. Sasikumar","doi":"10.1109/ICCCNT.2012.6395999","DOIUrl":"https://doi.org/10.1109/ICCCNT.2012.6395999","url":null,"abstract":"The problem of shadowing is particularly significant in high-resolution satellite imaging (HRSI) which causes either a reduction or total loss of information in the image. The research on segmenting shadow regions is of great significance for image interpretation and it is a supportive tool to detect manmade structures. This paper proposes a solution to the problem of automatic extraction of shadow features in color satellite images with high spatial resolution. The algorithm separates shadow from non-shadow by considering the spatial properties of the segmented regions. Experiments are executed on high resolution satellite images, and the results confirm the validity of the proposed method.","PeriodicalId":364589,"journal":{"name":"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126464299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-07-26DOI: 10.1109/ICCCNT.2012.6396020
V. Sekar, P. Veerapagounder, B. Baskaran
Worldwide Interoperability for Microwave Access is an emerging global broadband wireless system based on IEEE 802.16 standards. This paper investigates several modulation techniques for IEEE 802.16d (fixed WIMAX) based OFDM system including BPSK, QPSK, 16QAM and 64QAM with different cyclic prefix are tested for SUI-1 and SUI-2 channel conditions with channel bandwidth of 1.75MHz. For poor channel conditions, QPSK with 0.25 cyclic prefix is best modulation technique with least BER and, for good channel conditions 16QAM or 64QAM can be used. The effective bandwidth of the transmitted signal in wireless MAN-OFDM is also analysed and it is fall in the range of 87.29 %to 90.45%.
{"title":"BER performance and bandwidth efficiency analysis of fixed WIMAX","authors":"V. Sekar, P. Veerapagounder, B. Baskaran","doi":"10.1109/ICCCNT.2012.6396020","DOIUrl":"https://doi.org/10.1109/ICCCNT.2012.6396020","url":null,"abstract":"Worldwide Interoperability for Microwave Access is an emerging global broadband wireless system based on IEEE 802.16 standards. This paper investigates several modulation techniques for IEEE 802.16d (fixed WIMAX) based OFDM system including BPSK, QPSK, 16QAM and 64QAM with different cyclic prefix are tested for SUI-1 and SUI-2 channel conditions with channel bandwidth of 1.75MHz. For poor channel conditions, QPSK with 0.25 cyclic prefix is best modulation technique with least BER and, for good channel conditions 16QAM or 64QAM can be used. The effective bandwidth of the transmitted signal in wireless MAN-OFDM is also analysed and it is fall in the range of 87.29 %to 90.45%.","PeriodicalId":364589,"journal":{"name":"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121082745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-07-26DOI: 10.1109/ICCCNT.2012.6395948
S. A. Kumar, T. Shanmuganantham
A implantable CPW fed dual folded dipole antenna operating in the ISM band (2.4-2.48 GHz) and WMTS (1.4-1.43 GHz) for biomedical applications. The proposed antenna is made compatible for implantation by embedding it in a biocompatible Poly Dimethyl Siloxane (PDMS). A study of sensitivity of the antenna performance as a function of the dielectric parameters of the environment in which it is immersed was performed. The proposed antenna is simulated using the method of moment's software IE3D by assuming the predetermined dielectric constant for the human muscle tissue, fat and skin and the parameters of the antenna such as return loss, radiation pattern, and VSWR are plotted.
{"title":"Implantable CPW fed dual folded dipole antenna for biomedical applications","authors":"S. A. Kumar, T. Shanmuganantham","doi":"10.1109/ICCCNT.2012.6395948","DOIUrl":"https://doi.org/10.1109/ICCCNT.2012.6395948","url":null,"abstract":"A implantable CPW fed dual folded dipole antenna operating in the ISM band (2.4-2.48 GHz) and WMTS (1.4-1.43 GHz) for biomedical applications. The proposed antenna is made compatible for implantation by embedding it in a biocompatible Poly Dimethyl Siloxane (PDMS). A study of sensitivity of the antenna performance as a function of the dielectric parameters of the environment in which it is immersed was performed. The proposed antenna is simulated using the method of moment's software IE3D by assuming the predetermined dielectric constant for the human muscle tissue, fat and skin and the parameters of the antenna such as return loss, radiation pattern, and VSWR are plotted.","PeriodicalId":364589,"journal":{"name":"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116057767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-07-26DOI: 10.1109/ICCCNT.2012.6481077
P. Chakraborty, S. Kumar, R. Ghosh, A. Akula, H. K. Sardana
In this research work a seismic classification system is designed to distinguish between tracked and wheeled vehicle classes. Owing to the extreme non-stationary nature of seismic signals, choosing robust features is an important aspect for the purpose of classification. To obtain a varied feature set different signal processing techniques namely Fast Fourier Transform (FFT), Walsh-Hadamard Transform (WHT), Hilbert-Huang Transform (HHT) and Wavelet Transform (WT) are investigated. Dominant features are identified from the feature bank using Principal Component Analysis (PCA). This choice of optimal and robust features leads to a better class discrimination. It is observed that the classification results obtained by the varied feature set followed by optimization has improved classification accuracy of 95% than using features extracted from individual signal processing techniques.
{"title":"Computational techniques for classification of military vehicles using seismic signatures","authors":"P. Chakraborty, S. Kumar, R. Ghosh, A. Akula, H. K. Sardana","doi":"10.1109/ICCCNT.2012.6481077","DOIUrl":"https://doi.org/10.1109/ICCCNT.2012.6481077","url":null,"abstract":"In this research work a seismic classification system is designed to distinguish between tracked and wheeled vehicle classes. Owing to the extreme non-stationary nature of seismic signals, choosing robust features is an important aspect for the purpose of classification. To obtain a varied feature set different signal processing techniques namely Fast Fourier Transform (FFT), Walsh-Hadamard Transform (WHT), Hilbert-Huang Transform (HHT) and Wavelet Transform (WT) are investigated. Dominant features are identified from the feature bank using Principal Component Analysis (PCA). This choice of optimal and robust features leads to a better class discrimination. It is observed that the classification results obtained by the varied feature set followed by optimization has improved classification accuracy of 95% than using features extracted from individual signal processing techniques.","PeriodicalId":364589,"journal":{"name":"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115218073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-07-26DOI: 10.1109/ICCCNT.2012.6395972
N. Sumathy, S. Prakash
As a promising renewable alternative, the wind power is one of the significant source of generation. Reactive power compensation in a low voltage distribution networks for integration of wind power to the grid is the main concern of this paper. This paper proposes a control scheme based on instantaneous pq theory for compensating the reactive power requirement of a three phase grid connected wind driven induction generator as well as the load connected to the PCC using STATCOM. The proposed control scheme is simulated using MATLAB/SIMULINK. The Simulation results are also presented in this paper.
{"title":"A STATCOM based control scheme for grid connected wind driven induction generator","authors":"N. Sumathy, S. Prakash","doi":"10.1109/ICCCNT.2012.6395972","DOIUrl":"https://doi.org/10.1109/ICCCNT.2012.6395972","url":null,"abstract":"As a promising renewable alternative, the wind power is one of the significant source of generation. Reactive power compensation in a low voltage distribution networks for integration of wind power to the grid is the main concern of this paper. This paper proposes a control scheme based on instantaneous pq theory for compensating the reactive power requirement of a three phase grid connected wind driven induction generator as well as the load connected to the PCC using STATCOM. The proposed control scheme is simulated using MATLAB/SIMULINK. The Simulation results are also presented in this paper.","PeriodicalId":364589,"journal":{"name":"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121685933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-07-26DOI: 10.1109/ICCCNT.2012.6396068
K. Lakshmi, A. Rao
In this paper, a meta-heuristic approach called Adaptive Hybrid Harmony Search algorithm (AHHS), which is a variant of recently developed Harmony search optimisation algorithm is proposed. The harmony search is basically conceptualized using the musical process of searching for a perfect state of harmony. The proposed algorithm is hybridised with a customised neighbourhood search algorithm called `Variable depth neighbourhood search', to improve its intensification mechanism. This proposed algorithm is applied to a combinatorial problem namely lay-up sequence optimisation of laminate composite stiffened cylinder. The results of the investigated numerical example, clearly illustrate the efficiency of the proposed algorithm to handle the design of layup sequence problem.
{"title":"Adaptive Hybrid Harmony Search algorithm for optimal design of laminate composites","authors":"K. Lakshmi, A. Rao","doi":"10.1109/ICCCNT.2012.6396068","DOIUrl":"https://doi.org/10.1109/ICCCNT.2012.6396068","url":null,"abstract":"In this paper, a meta-heuristic approach called Adaptive Hybrid Harmony Search algorithm (AHHS), which is a variant of recently developed Harmony search optimisation algorithm is proposed. The harmony search is basically conceptualized using the musical process of searching for a perfect state of harmony. The proposed algorithm is hybridised with a customised neighbourhood search algorithm called `Variable depth neighbourhood search', to improve its intensification mechanism. This proposed algorithm is applied to a combinatorial problem namely lay-up sequence optimisation of laminate composite stiffened cylinder. The results of the investigated numerical example, clearly illustrate the efficiency of the proposed algorithm to handle the design of layup sequence problem.","PeriodicalId":364589,"journal":{"name":"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125617384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-07-26DOI: 10.1109/ICCCNT.2012.6396099
L. B. Bhajantri, N. Nalini, V. Patil
This paper proposes a context aware routing in distributed sensor network for data gathering and dissemination. A Distributed Sensor Network (DSN) is composed of intelligent sensors that are geographically dispersed in the region of interest and interconnected through a communication network. The (acoustic, seismic, and infrared) data by leaf sensor nodes are transmitted over the network and integrated at the processing element to derive appropriate interferences about the environment for different purposes, such as target tracking, location, surveillance and so on. Since a DSN is typically deployed for remote operations in unstructured area and the measurements are usually collected in a harsh, unreliable, and even adversarial environment, it is critical to provide extended networking capability to guarantee the performance of the entire system. In this work, we consider different contexts in distributed sensors network by considering the scenario of forest area such as: temperature context, air pressure context and object aware context. This work mainly focuses on routing the data from source to sink, and gathering and dissemination of related data. In this work, data aggregation is done in two phase: In first phase data is aggregated in Data Aggregator (DA) and in second phase data is aggregated in Master Aggregator (MA). If the context is in the emergency level then data is disseminated to target area. We simulated the context aware routing for data gathering and dissemination to test the operation scheme in terms of performance parameters.
{"title":"Context aware routing in Distributed Sensor Networks for data gathering and dissemination","authors":"L. B. Bhajantri, N. Nalini, V. Patil","doi":"10.1109/ICCCNT.2012.6396099","DOIUrl":"https://doi.org/10.1109/ICCCNT.2012.6396099","url":null,"abstract":"This paper proposes a context aware routing in distributed sensor network for data gathering and dissemination. A Distributed Sensor Network (DSN) is composed of intelligent sensors that are geographically dispersed in the region of interest and interconnected through a communication network. The (acoustic, seismic, and infrared) data by leaf sensor nodes are transmitted over the network and integrated at the processing element to derive appropriate interferences about the environment for different purposes, such as target tracking, location, surveillance and so on. Since a DSN is typically deployed for remote operations in unstructured area and the measurements are usually collected in a harsh, unreliable, and even adversarial environment, it is critical to provide extended networking capability to guarantee the performance of the entire system. In this work, we consider different contexts in distributed sensors network by considering the scenario of forest area such as: temperature context, air pressure context and object aware context. This work mainly focuses on routing the data from source to sink, and gathering and dissemination of related data. In this work, data aggregation is done in two phase: In first phase data is aggregated in Data Aggregator (DA) and in second phase data is aggregated in Master Aggregator (MA). If the context is in the emergency level then data is disseminated to target area. We simulated the context aware routing for data gathering and dissemination to test the operation scheme in terms of performance parameters.","PeriodicalId":364589,"journal":{"name":"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127554194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-07-26DOI: 10.1109/ICCCNT.2012.6396093
N. V. Anil Kumar, A. Thomas
Improving network lifetime is the fundamental challenge of wireless sensor networks. One possible solution consists in making use of mobile sinks. Sink mobility along a constrained path can improve the energy efficiency in wireless sensor networks. However, due to the path constraint, a mobile sink with constant speed has limited communication time to collect data from the sensor nodes deployed randomly. This poses significant challenges in jointly improving the amount of data collected and reducing the energy consumption. This paper propose a novel data collection scheme, called the Maximum Amount Shortest Path (MASP) using Improved Ant Colony Optimization, to address this issue, that increases network throughput as well as conserves energy by optimizing the assignment of sensor nodes. MASP is formulated as an integer linear programming problem and then solved with the help of improved ant colony optimization. Zone based partition is applied to implement the MASP scheme. The residual energy of each node is calculated and the optimal path is selected by considering the shortest path, residual energy, channel noise, and delay. This approach is validated through simulation experiments using NS2.
{"title":"Energy efficiency and network lifetime maximization in wireless sensor networks using Improved Ant Colony Optimization","authors":"N. V. Anil Kumar, A. Thomas","doi":"10.1109/ICCCNT.2012.6396093","DOIUrl":"https://doi.org/10.1109/ICCCNT.2012.6396093","url":null,"abstract":"Improving network lifetime is the fundamental challenge of wireless sensor networks. One possible solution consists in making use of mobile sinks. Sink mobility along a constrained path can improve the energy efficiency in wireless sensor networks. However, due to the path constraint, a mobile sink with constant speed has limited communication time to collect data from the sensor nodes deployed randomly. This poses significant challenges in jointly improving the amount of data collected and reducing the energy consumption. This paper propose a novel data collection scheme, called the Maximum Amount Shortest Path (MASP) using Improved Ant Colony Optimization, to address this issue, that increases network throughput as well as conserves energy by optimizing the assignment of sensor nodes. MASP is formulated as an integer linear programming problem and then solved with the help of improved ant colony optimization. Zone based partition is applied to implement the MASP scheme. The residual energy of each node is calculated and the optimal path is selected by considering the shortest path, residual energy, channel noise, and delay. This approach is validated through simulation experiments using NS2.","PeriodicalId":364589,"journal":{"name":"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122662397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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