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Hyderabad, India

Veer K.,Thapar University | Sharma T.,GCET
Journal of Medical Engineering and Technology | Year: 2016

This paper presents the detailed evaluation and classification of Surface Electromyogram (SEMG) signals at different upper arm muscles for different operations. After acquiring the data from selected locations, interpretation of signals was done for the estimation of parameters using simulated algorithm. First, different types of arm operations were analysed; then statistical techniques were implemented for investigating muscle force relationships in terms of amplitude estimation. The classification (Artificial Neural Network) based results have been presented for detecting different pre-defined arm motions in order to discriminate SEMG signals. The outcome of research indicates that a neural network classifier performs best with an average classification rate of 92.50%. Finally, the result also inferred the operations which were observed to be easy for arm recognition and the study is a step forward to develop powerful, flexible and efficient prosthetic designs. © 2016 Informa UK Limited, trading as Taylor & Francis Group Source


Samanta A.,GCET | Bandyopadhyay S.S.,Indian Institute of Technology Kharagpur
Chemical Engineering Journal | Year: 2011

This work presents a theoretical and experimental investigation on the absorption of CO2 into piperazine (PZ) activated aqueous N-methyldiethanolamine (MDEA) solvent. A comprehensive mathematical model which is based on Higbie's penetration theory has been developed to analyze the experimental data. The model involving coupled mass transfer-reaction kinetics-chemical equilibrium incorporates the important reversible reactions in the liquid phase. The model is validated with the experimental results of steady state absorption measurements of CO2 in a 2.81×10-2m o.d. stainless steel wetted wall contactor. The rates of absorption of CO2 into this solvent have been measured over the CO2 partial pressure range of 2-14kPa and temperature range of 298-313K under atmospheric pressure. The absorption experiments are performed over the MDEA concentration range of 1.89-2.41kmolm-3 along with PZ concentrations of 0.24, 0.60 and 0.95kmolm-3. The predicted absorption rates and enhancement factors based on the model have been found to be in good agreement with the experimental results, the average absolute deviation between the model predicted and experimental results being 6.8%. The values of the rate constants, k23 and k25 for the PZ-carbamate and PZ-dicarbamate formation reactions determined in this work have been found to be about 17,500m6kmol-2s-1 and 15,500m6kmol-2s-1 at 298K, respectively. Good agreement between the model predicted and experimental results validates the mathematical model developed in this work to represent CO2 mass transfer in PZ activated aqueous MDEA. © 2011 Elsevier B.V. Source


Jamal K.,GRIET | Srihari P.,GCET
International Journal of Engineering and Technology | Year: 2016

This paper propounds the role of test vectors with minimal power for Built-In-Self-Test (BIST) applications. This method signifies Test-Per-Clock (TPC) based test vectors using Multiple Single Input Change (MSIC). MSIC patterns are generated by using EX-OR operation of counter and test pattern algorithms like Linear Feedback Shift Register (LFSR), Bit-Swapping LFSR (BSLFSR), Hybrid Cellular Automata (HCA). These patterns are used to reduce number of transitions in the test patterns that are generated. The preferred method uses Test-Per Clock scheme for generating MSIC patterns. TPC reduces the power consumption during test mode. The seed generator used in TPC is modified LFSR's i.e., BS-LFSR and Cellular Automata (CA). Using CA we also present a variation on a Built-In- Self-Test (BIST) technique, which is based on a pseudo random number generator inferred from a onedimensional cellular automata array. We proposed Hybrid Cellular Automata (HCA) using the rules 90 and 150 to generate the pseudo random patterns. In addition, it is noted that CA implementations exhibit data compression properties similar to the LFSRs and that they display locally and with topological regularity significant attributes for a VLSI implementation. In this proposed method, LFSR is replaced with BS-LFSR and CA. BS-LFSR is composed of an LFSR with a multiplexer. This reduces the number of transitions by 33.3% using MSIC whereas CA has more randomness compared with the LFSR. BSLFSR and CA are used in TPC. Source


Chackochan R.,ME Communication | Soni H.,GCET
ICECT 2011 - 2011 3rd International Conference on Electronics Computer Technology | Year: 2011

Orthogonal Frequency Division Multiplexing (OFDM) is a spectrally efficient multicarrier modulation technique for high speed data transmission over multipath fading channels. OFDM modulation schemes offer many advantages for multicarrier transmission at high data rates over time dispersive channels, particularly in mobile applications. One of the main issues of OFDM is high Peak-to-Average Power Ratio (PAPR) of the transmitted signal which adversely affects the complexity of power amplifiers. SeLected Mapping (SLM) technique is one of the promising PAPR reduction techniques for OFDM. This paper analyzes the capability of the existing SLM technique in reducing the effect of Peak-to-Average Power Ratio. The approach is very flexible and works with arbitrary numbers of subcarriers and without restriction on the type of modulation applied in them. The analysis is on a network model designed by WLAN 802.11a standard using MATLAB, a mathematical simulation software tool. As a performance measure for the PAPR reduction, we study the probability that the PAPR of an OFDM data block exceeds a given threshold, which is the Complementary Cumulative Distribution Function (CCDF) of PAPR. © 2011 IEEE. Source


Dutta M.K.,GCET | Gupta P.,Indian Institute of Technology Kanpur | Pathak V.K.,HBTI
Journal of Computers | Year: 2010

This paper proposes an efficient watermark generation method for audio copyright protection and digital right management. It proposes a method of generating pseudorandom sequences based on iris image templates. These biometric generated sequences (bio-keys) are found to be unique for distinct identification purposes. These bio-keys are used as the watermark for audio signals. The correlation of the extracted bio-key with a database of 150 bio-keys reveals that the best correlation is 1 while the next best correlation is less than 0.4 under no attack condition. Even under serious signal processing attacks, the bio-keys have distinctly been identified and mapped in a database. Experimental results of listening evaluation and robustness tests have confirmed that the use of bio-keys maintains good perceptual property and offers strong resistance to the typical signal processing attacks. © 2010 ACADEMY PUBLISHER. Source

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