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[email protected]: Named Entity Recognition for Indian Languages using Rich Features 14

[email protected]: Named Entity Recognition for Indian Langu...

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Proceedings of the 6th Annual Meeting of the Forum for Information Retrieval Evaluation

作者： N. Abinaya Neethu John Barathi H. B. Ganesh Anand M. Kumar K. P. Soman Centre for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore India

ISBN: (纸本)9781450337557

This paper aims at implementing Named Entity Recognition (NER) for four languages such as English, Tamil, Hindi and Malayalam. The results obtained from this work are submitted to a research evaluation workshop Forum for Information Retrieval and Evaluation (FIRE 2014). This system detects three levels of named entity tags which are referred as nested named entities. It is a multi-label problem solved using chain classifier method. In this work, Conditional Random Field (CRF) and Support Vector Machine (SVM) are used for implementing NER system. In FIRE 2014, we developed a English NER system using CRF and other NER system for Tamil, Hindi and Malayalam are based on SVM. The FIRE estimated the average precision for all the four languages as 41.93 for outermost level and 33.25 for inner level. In order to improve the performance of Indian languages, we implemented CRF based NER system for the same corpus in Tamil, Hindi and Malayalam. The average precision measure for these mentioned languages are 42.87 for outer level and 36.31 for inner level. The overall performance of the NER system improved by 2.24% for outer level and 9.20% for inner level.

关键词： Named Entity Recognition (NER) Support Vector Machine (SVM) Conditional Random Fields (CRF) Natural Language Processing (NLP)

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Real-time video streaming using GStreamer in GNU Radio platform

Real-time video streaming using GStreamer in GNU Radio platf...

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International Conference on Green Computing Communication and Electrical engineering (ICGCCEE)

作者： S. Nimmi V. Saranya Theerthadas R. Gandhiraj Centre for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore India Centre for Excellence in Computational Engineering and Networking Amrita School of Engineering Amrita Vishwa Vidyapeetham Coimbatore-641112 India Amrita School of Engineering Bangalore Karnataka IN

This paper introduces the basic concepts of real time video streaming using GStreamer through an open source low cost platform - GNU Radio. The GStreamer serves as a base to create many types of multimedia applications such as video editors, streaming media players and media broadcasters. It can help educators to face the challenges of different learning styles and enhance the way in which students can process and use the information. A simple web camera is used to stream the video to the GNU Radio through a GStreamer pipeline. Streamed data can be received and transmitted by a server in real time using Mplayer. The transmitted video is displayed at the receiver block. At the receiver side, buffering is done to store the live video stream. The proposed technique provides a reliable means of sharing real time videos among people using RTL-SDR and USRP.

关键词： Streaming media Receivers Software Radio transmitters Software radio Real-time systems Signal processing

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Automated PCG signal delineation method for heart sound analysis

Automated PCG signal delineation method for heart sound anal...

引用

National Conference on Communications (NCC)

作者： V. Nivitha Varghees K. I. Ramachandran Centre for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham University Coimbatore Tamilnadu India

This paper presents an automated PCG signal delineation method for real-time wireless cardiac health monitoring and audio-visual stethoscope applications. The proposed method comprises the steps of: preprocessing, total variation filtering, smooth energy envelope computation, peak-amplitude determination and endpoint determination. The total variation filter is used to smooth out the background noises and preserves the heart sound components. The endpoints of heart sounds (S1, S2, S3, S4 and murmurs) are determined by using smooth energy envelope and hard-thresholding rule. The peaks of the heart sounds are determined by using candidate waveform obtained from Hilbert transformation of smooth envelope. The proposed delineation method is validated by using different clean and noisy pathological and non-pathological PCG signals. Experiments on a large PCG database show that the proposed method achieves an average sensitivity (Se) of 99.56% and positive predictivity (+P) of 96.97%, with the maximum average delineation error of 9.08-msec, 0.483-msec and 7.834-msec for endpoints of heart sounds, peak-locations and durations, respectively.

关键词： Phonocardiography Heart Signal to noise ratio Noise measurement Acoustics

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[email protected]: Morpheme Extraction and Lemmatization for Tamil using Machine Learning 14

[email protected]: Morpheme Extraction and Lemmatization for...

引用

Proceedings of the 6th Annual Meeting of the Forum for Information Retrieval Evaluation

作者： Anand M. kumar K. P. Soman Centre for Excellence in Computational Engineering and Networking Amrita School of Engineering Amrita Vishwa Vidyapeetham Coimbatore-641 112

ISBN: (纸本)9781450337557

This paper presents the method of Morpheme Extraction and lemmatization for Tamil language in Morpheme Extraction Task (MET) of FIRE-2014. Tamil is a morphologically rich and agglutinative language. Such a language needs deeper analysis at the word level to capture the meaning of the word from its morphemes and its categories. In this attempt, the methodology employed to extract Tamil morphemes and lemmas are based on a supervised machine learning algorithm for nouns and verbs and simple suffix stripping for pronouns and proper nouns. Morphemes are extracted for other Part-of-Speech categories using Tamil Part of Speech tagger. In supervised learning, Morphological analyzer problem is redefined as a classification problem. We decompose the problem of noun and verb morpheme extraction into two sub-problems: learning to perform morpheme identification of words in a text, and learning to perform morpheme tagging. In addition to the Morpheme extraction task results of FIRE-2014, we have carried out different experiments to show the effectiveness of the proposed method.

关键词： Lemmatization Machine Learning Morpheme Extraction Support Vector Machines Natural Language Processing

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Study of polyphase structure made easy using GNU Radio

Study of polyphase structure made easy using GNU Radio

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International Conference on Green Computing Communication and Electrical engineering (ICGCCEE)

作者： K. R. Jijeesh V. Anupama Chakravarthula Raghavachari R. Gandhiraj Centre for Excellence in Computational Engineering and Networking Department of Electronics and Communication Engineering Amrita Vishwa Vidyapeetham Coimbatore Tamil Nadu India

Our current education system lacks in providing visualization of concepts, without which the learning process is incomplete. Particularly, in case of complex signal processing algorithms, visualizing is very difficult or almost impossible. The aim of this paper is to understand and provide visualization of the basic concepts of multirate signal processing using low cost computing platform, GNU Radio. Multirate signal processing has a significant influence at the physical or hardware layer of modern communication systems. In real, multirate signal processing is found at the core of communication systems that couple the Software Defined Radio (SDR) and Software Communications Architecture (SCA) to reconfigure system resources for operation over a wide range of modulation formats and waveforms. In multirate systems, polyphase structure plays an important role in reducing the computation rate by noble identities. The parallel processing makes it very efficient in implementation architecture. GNU Radio companion is an open source graphical simulation tool which we utilized for better understanding of complex signal processing concepts. In our paper we have implemented simple multirate signal processing building blocks.

关键词： Finite impulse response filters Filter banks Interpolation Visualization

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Radiation pattern measurement of log-periodic antenna on GNU Radio platform

Radiation pattern measurement of log-periodic antenna on GNU...

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International Conference on Green Computing Communication and Electrical engineering (ICGCCEE)

作者： T. Ajitha Elmi Joy A. AnishJoyce R. Gandhiraj Centre for Excellence in Computational Engineering and Networking Department of Electronics and Communication Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Coimbatore India

Current laboratory setup for performing radiation pattern measurement of any antenna is composed of signal generators and a spectrum analyzer. The cost of these equipment increases substantially with the demand of precision in the output. In this paper, the radiation pattern measurement of a log-periodic antenna is done on a new platform, consists of GNU Radio Companion (GRC) and Universal Software Radio Peripheral (USRP). This forms a simple way of performing the radiation pattern measurement at low cost, compared to the conventional methods.

关键词： Antenna radiation patterns Antenna measurements Transmission line measurements Power measurement Hardware Directive antennas

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Design and simulation of low noise amplifier for RF front end at L band

Design and simulation of low noise amplifier for RF front en...

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International Conference on computational Systems and Communications (ICCSC)

作者： Jolly Rajendran Rakesh Peter Department of Electronics and Communication Engineering Amrita Vishwa Vidyapeetham Coimbatore Centre of Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore

In this paper, the design and evaluation of a low noise amplifier, that operates in the L-band, is being discussed. The amplifier was fabricated on FR-4 substrate. ATF-58143 Low Noise Enhancement Mode Pseudomorphic High Electron Mobility Transistor [HEMT] is used. The designed LNA is found to have a gain of 13 dB. The return loss is below -10 dB.

关键词： Noise Gain Impedance matching Impedance Transistors Scattering parameters Radio frequency

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Machine learning plug-ins for GNU Radio Companion

Machine learning plug-ins for GNU Radio Companion

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International Conference on Green Computing Communication and Electrical engineering (ICGCCEE)

作者： R. Anil R. Danymol Harsha Gawande R. Gandhiraj Centre for Excellence in Computational Engineering and Networking Amrita VishwaVidyapeetham Coimbatore India Department of Electronics and Communication Engineering Amrita VishwaVidyapeetham Coimbatore India

This paper gives an insight about how to create classifier plug-ins (signal processing blocks) using hard-code input for GNU Radio Companion (GRC). GNU Radio Companion is an open source Visual programming language for any real time signal processing applications. At present there is no classifier block available inside this GRC tool. Here we are introducing a low cost classifier which utilizes the basic machine learning algorithms:linear regression and logistic regression. The creation of classifier plug-ins in an open source software enables easy manipulation of real time classification problems during the transmission and reception of signals in Software Defined Radios. So this workdescribes the development of signal processing block that can be done by changing the Python code and C++ codes of the `gr-modtool' package. It is highly cost effective and with great potential since GNU Radio software is open source and free.

关键词： Logistics Linear regression Signal processing Real-time systems Software radio Software Signal processing algorithms

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Compressive sensing based image acquisition and reconstruction analysis

Compressive sensing based image acquisition and reconstructi...

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International Conference on Green Computing Communication and Electrical engineering (ICGCCEE)

作者： Sabbisetti Ravindranath S.R Nishanth Ram S. Subhashini A.V. Sesha Reddy M. Janarth R. AswathVignesh R. Gandhiraj K.P. Soman Department of Electronics and Communication Engineering Department of Electronics and Communication Engineering Amrita VishwaVidyapeetham Coimbatore Centre for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore

Compressive sensing is a technique by which images are acquired and reconstructed from a relatively fewer measurements than what the Nyquist rate suggests. Compressive sensing is applicable when the signals under consideration are sparse, and most of the images are sparse in wavelet or frequency domain. In this paper, the mathematical formulation of compressive sensing is explained where in various notations and parameters like measurement matrices and sparsity-inducing matrices are dealt in detail. A deterministic measurement matrix, known as chess measurement matrix is implemented in an aperture assembly. Several reconstruction algorithms are analysed and the images reconstructed with PSNR plotted for every case. Based upon the results, it is proved that OMP is the efficient reconstruction algorithm among all.

关键词： Sparse matrices Image reconstruction Compressed sensing Matching pursuit algorithms Reconstruction algorithms Vectors Sensors

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Measurement of radiation pattern of Quadrifilar Helix Antenna (QHA) using GNU Radio

Measurement of radiation pattern of Quadrifilar Helix Antenn...

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International Conference on Green Computing Communication and Electrical engineering (ICGCCEE)

作者： S. Sreelakshmi P. S. Ashitha Arjun Pradeep R. Gandhiraj Centre for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore India Department of Electronics and Communication Engineering Amrita Vishwa Vidyapeetham Coimbatore India

Communication experiments in conventional lab set-up require more hardware compared to softwares which increases the hardware complexity. This problem can be solved by using Universal Software Radio Peripheral (USRP-2) and open source software GNU Radio. This paper proposes a novel method to investigate radiation pattern measurements such as Half Power Beam Width (HPBW) and Front-to-back ratio of Quadrifilar Helix Antenna (QHA) using USRP-2 and GNU Radio. The Quadrifilar Helix Antenna is a simple and inexpensive equipment used for non-geosynchronous satellite research. This antenna is unique in its simplicity of design and powerful performance compared with standard directional receivers.

关键词： Antenna radiation patterns Antenna measurements Helical antennas Software radio Directive antennas Hardware Receivers

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