Informatics Publishing Limited

N. Prudhvi Raju ¹, K. Murali Krishna ¹, B. Jagan Mohan Reddy ¹

Affiliations
1 Department of Chemistry, Adikavi Nannaya University, Rajahmundry-533105, IN

Abstract

An Iodine catalyzed (3, 5)-thionium-ene-type cyclization for the facile construction of various multisustituted tetrahydrothiopyrans was successfully developed from aldehyde (aromatic and aliphatic) and 6-methylhept-5-en- 2thiol, 6-methyl-2-phenyl hept-5-en-2-thiol and 2, 6-dimethylhept-5-en-2-thiol in the presence of iodine under mild and neutral conditions. This method is simple, convenient and cost-effective.

Keywords

Molecular Iodine, Thionium Ene Reaction, 6-methylhept-5en-2-thiol, 6-methyl-2-phenyl Hept-5-en-2-thiol And 2,6-dimethylhept-5-en-2-thiol, 3-isopropenyl-6-methyl-2phenyltetrahydrothiopyran

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Ch Amarnatha Sarma ¹, K. Murali Krishna ¹, K. Rasool Reddy ¹

Affiliations
1 ECE Department, GEC, Gudlavalleru, A.P, IN

Abstract

Expression detection is valuable as a non-invasive procedure of lie detection and behavior prediction. Nevertheless, these facial expressions may be problematic to realize to the untrained eye. There are a number of techniques are to be had to establish the facial expressions in that we implements facial features recognition strategies making use of Principal Component Analysis (PCA) and Wavelet. The facial features Experiments are performed making use of our possess database. The universally accepted three foremost emotions to be recognized are: shock, unhappy and happiness together with impartial. Firstly now we have tried to evaluate facial evaluation and then participate in the PCA and Euclidean distance established matching Classifier is used to notice and classify the facial expressions. All these experiments are implemented using MATLAB 2013a. Utilising PCA and Wavelets the got results has reached a attention cost of 91.Seventy eight%.

Keywords

Facial Expressions, Principal Component Analysis (PCA), Wavelet Transform.

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Thammana Ajay ¹, K. Murali Krishna ¹

Affiliations
1 Department of Electronics and Communication Engineering, Anil Neerukonda Institute of Technology and Sciences, IN

Abstract

Orthogonal Frequency Division Multiplexing (OFDM) is a fascinating approach for wireless communication applications which require huge amount of data rates. However, OFDM signal suffers from its large Peak-to-Average Power Ratio (PAPR), which results in significant distortion while passing through a nonlinear device, such as a transmitter high power amplifier (HPA). Due to this high PAPR, the complexity of HPA as well as DAC also increases. For the reduction of PAPR in OFDM many techniques are available. Among them companding is an attractive low complexity technique for the OFDM signal's PAPR reduction. Recently, a piecewise linear companding technique is recommended aiming at minimizing companding distortion. In this paper, a collective piecewise linear companding approach with Discrete Hartley Transform (DHT) method is expected to reduce peak-to-average of OFDM to a great extent. Simulation results shows that this new proposed method obtains significant PAPR reduction while maintaining improved performance in the Bit Error Rate (BER) and Power Spectral Density (PSD) compared to piecewise linear companding method.

Keywords

OFDM, PAPR, Discrete Hartley Transform, Companding Distortion, Piecewise Linear Companding.

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