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International Conference on Innovations in Information, Embedded and Communication Systems

作者： Shriya Se Ashwini, B. Archana Chandran Soman, K. P. Centre for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham

ISBN: (纸本)9781479968190

The latest concept evolving in pedagogy is flipped class room where class room is utilized for active learning by students with their peers and faculty. This necessitates development of new syllabus and pedagogy for each subject for class room activities. This paper attempt to propose spreadsheet based experiments in linear algebra that can be used to learn many abstract concepts that are very important for mastering many engineering disciplines. There is vast amount of evidence showing that the computational experiments support active learning and develop exploratory and inventive skill of students.

关键词： Flipped class room computational thinking Linear algebra Spread sheet

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Low cost digital transceiver design for Software Defined Radio using RTL-SDR

Low cost digital transceiver design for Software Defined Rad...

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International Multi-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s)

作者： M B Sruthi M Abirami Akhil Manikkoth R Gandhiraj K P Soman Amrita Vishwa Vidyapeetham Coimbatore Tamil Nadu IN Centre for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore India Centre for Excellence in Computational Engineering and Networking

The field of wireless communication has become the hottest area and Software Defined Radio (SDR) is revolutionizing it. By bringing much functionality as software, SDR reduces the cost of hardware maintenance and up-gradation. Open source hardware such as USRP (Universal Software Radio Peripheral) and software called GNU Radio-Companion are commonly used to do experiments in SDR. Since the cost of USRP is high, a low cost set up is needed which is affordable by the student community. In this paper a low cost alternative to USRP is proposed using RTL-SDR (Realtek Software Defined Radio) which is only used for reception. For transmitting purpose, a mixer circuit can be used to map the baseband signal to the band that can be received by RTL-SDR on the other end on Linux / Windows platform. Initially, the experiment is done in simulation. After that, it is tested with low cost hardware such as mixer and RTL-SDR. The cost for total transceiver system can be less than USD 100 which is 10 times less than the existing one.

关键词： Mixers Software Frequency shift keying Hardware Software radio Radio frequency

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Spike Detection of Disturbed Power Signal Using VMD

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Procedia Computer Science 2015年 46卷 1087-1094页

作者： Amitha Viswanath K. Jyotsna Jose Nithya Krishnan S. Sachin Kumar K.P. Soman Centre for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore Campus Tamil Nadu-641112

Most of the electronic equipments are susceptible to power disturbances. Transients are one of the most damaging power disturbances among them. In this paper, a modern adaptive signal decomposition technique called Variational Mode Decomposition (VMD) is used for the detection of impulsive transients or spikes from power *** decomposes the signal effectively in to several Intrinsic Mode Functions (IMF). Each IMF assumes to have a central frequency. The VMD algorithm focuses on finding these central frequencies and intrinsic mode functions using an optimization methodology called Alternating Direction Method of Multipliers (ADMM). In case of spike on a single tone signal like power signal, it is observed that the information about the original signal is dissolved in any of the modes and also observed that the energy of this mode will be higher when compared to other modes. Using the spectral information of this mode the signature of original signal is preserved. The proposed methodology is found to give good result in case of single tone signals.

关键词： Variational Mode Decomposition (VMD) HilbertTransform ADMM Transients power signal.

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A Low Cost Implementation of Multi-label Classification Algorithm Using Mathematica on Raspberry Pi

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Procedia Computer Science 2015年 46卷 306-313页

作者： Neethu John R. Surya R. Ashwini S. Sachin Kumar K.P. Soman Centre for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore Campus Tamilnadu-641112 India

Implementation of data mining algorithms with low cost is one of the challenging tasks in the present world of massively increasing data. The key idea of this paper is to utilize the functionalities of Mathematica which is freely accessible on Raspberry Pi for the purpose of implementing Multi-label classification algorithm with low cost. With the facilities available in Mathematica software for Raspberry Pi, the line of code required for implementing data mining algorithms can be reduced sufficiently. Use of Random Kitchen Sink algorithm improves the accuracy of Multi-label classification and brings improvement in terms of memory usage for large dataset.

关键词： Multi-label classification Mathematica Raspberry Pi Random Kitchen Sink Data Mining

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Fast Fourier Transform and Nonlinear Circuits Based Approach for Smart Meter Data Security

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Procedia Technology 2015年 21卷 287-294页

作者： M. Jocelyn Babu V. Sowmya K.P. Soman Centre for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore Campus Tamilnadu-641112 India

Smart meters take measurements at minute intervals of time. The energy disaggregation of smart meter data provides accurate information regarding the electricity consumption but also reveals detailed information pertaining to the customer. Load signatures-that is unique for every appliance can be used to declare the behavioral pattern of the customers such as their sleep-wake cycles, usage period of various appliances, time during which the house is empty and by far, which particular channel is being viewed on the television. The smart meter data is transmitted to the utility company at regular intervals of time over the internet. Data that has such potential to access private information can be tampered with, by an undesirable third party during transmission. This is a vital privacy threat to the customer and has hyped the researches pertaining to smart meter data security in the recent times. To assure security, we introduce an algorithm that aims at encryption of data prior to transmission. The algorithm employs the FFT algorithm and various nonlinear systems to generate chaotic signals. The obtained chaotic signal is amalgamated with a transformed version of the smart meter data and securely transmitted over a suitable network. The proposed algorithm is tested on a real household's power signal data.

关键词： Fast Fourier Transform Chua circuit Rossler attractor Chen-Lee attractor Hash code

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ADMM Based Algorithm for Spike and Smooth Signal Separation using Over-Complete Dictionary

ADMM Based Algorithm for Spike and Smooth Signal Separation ...

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International Conference on Communications and Signal Processing

作者： K. Harikumar S. Athira Yedu C. Nair V. Sowmya K. P. Soman Centre for Excellence in Computational Engineering and Networking Amrita School of Engineering Amrita Vishwa Vidyapeetham

ISBN: (纸本)9781479980826

In signal processing, many a time people deal with smooth stationary signals mixed with sharp spikes and most of the time their analysis demands separation of the smooth and spike elements. In this paper, we propose a methodology for this kind of separation based on the well-known notion of using an over complete dictionary to define an underdetermined system of linear equations and picking out its sparsest solution. The Alternating Direction Method of Multipliers (ADMM) framework is proposed for formulating and solving this optimization problem. The study of the performance of the algorithm with respect to certain signal parameters is also included. Performance of the algorithm was tested for different sparsity values at different signal energies and the results are reported. Cases involving group sparsity is also studied.

关键词： ADMM Optimization Over-complete dictionary Smooth Sparsity Spike

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Design of Trapezoidal Monopole Antenna with Truncated Ground Plane for 2.5 GHz Band

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Procedia Technology 2012年 6卷 650-657页

作者： Jolly Rajendran Rakesh Peter K.P. Soman Department of ECE Amrita Vishwa Vidyapeetham Coimbatore 641 112 India Assistant Professor Centre for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore 641 112 Professor and Head Centre for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore

In this paper, we share our experience of designing a Trapezoidal Monopole Antenna with truncated ground plane for 2.5 GHz Band. Trapezoidal monopole antenna has an omnidirectional radiation pattern. Point-to Multi-Point WiFi system requires an omnidirectional common main antenna to distribute signal to wireless devices and computers. The proposed antenna uses a relatively cheap substrate FR-4 with permittivity ɛ r = 4.4 and loss tangent tanδ = 0.02. The size of the antenna is 12×12 cm 2 . The ground plate is defected to achieve good impedance matching over the desired frequency band. A 50 Ohm microstrip transmission line acts as the feed for the proposed antenna. The antenna has a Voltage Standing Wave Ratio (VSWR) less than 2 in the frequency band 2.4 GHz to 2.75 GHz. The fractional bandwidth is about 13.5% with respect to the center frequency 2.52 GHz. The design and simulation results are presented in this paper.

关键词： Dielectric substrates Microstrip antennas Trapezoidal Monopole antenna Truncated ground plane Printed Monopole antenna WiFi Antenna

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Computation of Continuous Wavelet Transform Using Microsoft Excel SpreadSheet

Computation of Continuous Wavelet Transform Using Microsoft ...

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International Conference on Advances in Computing and Communications (ICACC)

作者： Pinchu Prabha Sikha O.K. Suchithra M. Sukanya P. Sowmya V. K.P. Soman Centre for excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore India

Wavelet theory has become an essential and significant tool for signal and image processing applied in the analysis of various real time signals. It is thus necessary to include wavelet transform and its application in multifractal analysis as a part of the engineering curriculum. In this paper, we present simple and effective way of computing Continuous Wavelet Transform (CWT) using Microsoft Excel Spreadsheet which serves as an user friendly mathematical tool for beginners. The motivation of this paper is to prove the computational power of excel, using which students can have better understanding of the basic concept behind the computation of Continuous Wavelet Transform. The plot of Continuous Wavelet Transform of Brownian signal computation in Excel is compared with that of the result in the Matlab Toolbox. The singularities present in the signal can be inferred from the wavelet modulus maxima plot. The visual interpretation proves that Excel tool provides computational power comparable to that of the Matlab software. The codes for the implementation of CWT in Excel are available on ***:8080/sisp/wavelet/cwt/***, ***:8080/sisp/wavelet/cwt/***, ***:8080/sisp/wavelet/cwt/***.

关键词： Continuous wavelet transforms Wavelet analysis MATLAB Fractals Thermodynamics

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A synchronised tree adjoining Grammar for English to Tamil Machine Translation

A synchronised tree adjoining Grammar for English to Tamil M...

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International Conference on Advances in Computing, Communications and Informatics (ICACCI)

作者： Vijay Krishna Menon Rajendran S Soman K P Amrita Vishwa Vidyapeetham Centre for Excellence in Computational Engineering and Networking Coimbatore India

ISBN: (纸本)9781479987931

Tree adjoining Grammar (TAG) is a rich formalism for capturing syntax and some limited semantics of Natural languages. The XTAG project has contributed a very comprehensive TAG for English Language. Although TAGs have been proposed nearly 40 years ago by Joshi et al, 1975, their usage and application in the Indian Languages have been very rare, predominantly due to their complexity and lack of resources. In this paper we discuss a new TAG system and methodology of development for Tamil Language that can be extended for other Indian languages. The trees are developed synchronously with a minimalistic grammar obtained by careful pruning of XTAG English Grammar. We also apply Chomskian minimalism on these TAG trees, so as to make them simple and easily parsable. Furthermore we have also developed a parser that can parse simple sentences using the above mentioned grammar, and generating a TAG derivation that can be used for dependency resolution. Due to the synchronous nature of these TAG pairs they can be readily adapted for Formalism based Machine Translation (MT) from English to Tamil and vice versa.

关键词： Grammar Syntactics Semantics Informatics computational linguistics Natural languages Complexity theory

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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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