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Bangalore, India

Poornima T.,PESIT | Nayak J.,National Institute of Technology Karnataka
Journal of Applied Electrochemistry | Year: 2011

The corrosion inhibition of the aged 18 Ni 250 grade maraging steel in 0.5 M sulfuric acid by 3,4-dimethoxybenzaldehydethiosemicarbazone(DMBTSC) has been investigated by potentiodynamic polarization and electrochemical impedance spectroscopy(EIS) techniques. The inhibition efficiency increased with the increase in inhibitor concentration and decreased with the increase in temperature. Polarization curves indicated mixed type inhibition behavior affecting both cathodic and anodic corrosion currents. The thermodynamic parameters of corrosion and adsorption processes were evaluated. The adsorption of DMBTSC on the aged maraging steel surface was found to obey the Langmuir adsorption isotherm model, and the calculated Gibb's free energy values confirm the spontaneous adsorption. The results obtained by the two techniques were in good agreement. © 2010 Springer Science+Business Media B.V. Source

Poornima T.,PESIT | Nayak J.,National Institute of Technology Karnataka | Nityananda Shetty A.,National Institute of Technology Karnataka
Corrosion Science | Year: 2011

4-(N,N-diethylamino)benzaldehyde thiosemicarbazone (DEABT) was studied for its corrosion inhibition property on the corrosion of aged 18 Ni 250 grade maraging steel in 0.67M phosphoric acid at 30-50°C by potentiodynamic polarization, EIS and weight loss techniques. Inhibition efficiency of DEABT was found to increase with the increase in DEABT concentration and decrease with the increase in temperature. The activation energy Ea and other thermodynamic parameters (ΔGads 0, ΔHads 0, ΔSads 0) have been evaluated and discussed. The adsorption of DEABT on aged maraging steel surface obeys the Langmuir adsorption isotherm model and the inhibitor showed mixed type inhibition behavior. © 2011 Elsevier Ltd. Source

Hemakumar G.,Government College for Women | Punitha P.,PESIT
Advances in Intelligent Systems and Computing | Year: 2015

This paper addresses the problem of large vocabulary isolated word and continuous Kannada speech recognition using the syllables and combination of Hidden Markov Model (HMM) and Normal fit method. The models designed for speaker dependent and speaker independent mode of working. This experiment has covered 6 million words among the 10 million words from Hampi text corpus. Here 3-state Baum–Welch algorithm is used for training. For the 2 successor outputted λ(A, B, pi) is combined and passed into normal fit, the outputted normal fit parameter is labeled has syllable or sub-word. In terms of memory requirement and recognition rate the proposed model is compared with Gaussian Mixture Model and HMM (3- state Baum–Welch algorithm). This paper clearly shows that combination of HMM and normal fit technique will reduce the memory size while building and storing the speech models and works with excellent recognition rate. The average WRR is 91.22% and average WER is 8.78%. All computations are done using mat lab. © Springer India 2015. Source

Poornima T.,PESIT | Jagannatha N.,National Institute of Technology Karnataka | Nityananda Shetty A.,National Institute of Technology Karnataka
Portugaliae Electrochimica Acta | Year: 2010

The corrosion behavior of aged and annealed sample of 18 Ni 250 grade maraging steel was investigated in varied conditions of concentration and temperature of sulphuric acid medium, using electrochemical techniques like Tafel polarization and electrochemical impedance spectroscopy (EIS). The results obtained from both the techniques are in good agreement. These results have shown increase in corrosion rate of aged specimen with increase in concentration and temperature of sulphuric acid. With increase in concentration of sulphuric acid from 0.025 M to 0.25 M the corrosion rate of annealed sample was found to increase, but there after in 0.5 M, 0.75 M and 1 M, the rate of corrosion decreases, indicating passivation of alloy surface at higher concentration of sulphuric acid. The corrosion rate of aged specimen was found to be higher than that of the annealed specimen. Similar observations are revealed by SEM images. The thermodynamic parameters like activation energy, enthalpy of activation and entropy of activation were calculated. Source

Abhinandan K.R.,PESIT
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2013

In the current existing technology, literally everything is digital and machines are built and tuned to understand and respond to human gestures. In this paper, the human computer interaction platform is used for the treatment of the disorders, SHORT TERM MEMORY LOSS andANTEROGRADE AMNESIA. Victims of these disorders tend to forget stuffs after a short interval of time, but they have the ability to recover the lost memory and remember things, when a picture or a story or a scene relating to the lost memory incident is portrayed to them. This paper presents an idea of building a brain-computer interface to help the victims recover their lost memory by the visualization of the previously happened incident in a virtual frame. According to the theory proposed, the signals are extracted using Electroencephalography and conditioned for use in real world. These signals are stored in a processor and fed back to the brain to create a virtual vision so that the lost memory can be induced. © 2013 Springer-Verlag. Source

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