Volume-04 , Special Issue-07 , Dec - 2016 Go Back

Temperature modulation is considered as one of the procedure to obtain enhanced gas sensor performance. It is because the gas sensor kinetics between the gas sensor and the gas, depends on the sensor surface temperature. In this research we have studied the effect of the temperature modulation on the gas sensor array in presence of different gases. Responses for different heating waveform are compared based on the clusters of extracted features and finally conclusion can be drawn that temperature modulation leads to distinct clusters of target gases which helps in easy identification

Metal oxide gas sensor, Temperature modulation, inter-intra cluster distance ratio.

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[9] Anindita Bora, Kanak Chandra Sarma, “ A Temperature Modulation Circuit for Metal Oxide Semiconductor Gas Sensor”, Indian Journal of Science and Technology, Vol 8(12), 52888, June 2015
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Anindita Bora and Kanak Sarma, "Temperature Modulation of Gas Detection System Using Different Heating Voltage Waveform", International Journal of Computer Sciences and Engineering, Vol.04, Issue.07, pp.154-157, 2016.

Modeling a signal model for recognizing speech is a tough job. Here we will find out how Hidden Markov Model (HMM) is used in modeling speech recognition application. The steps: Preprocessing, Feature Extraction and Recognition and Hidden Markov Model which used in recognition phase, are used to design a complete Automatic Speech Recognition System (ASR). Researchers are trying to model a perfect ASR system but computer machines are not able to match up to our expectations due to lack of accuracy of matching and inefficient speed of response. In speech recognition three different approaches which are broadly used are Acoustic phonetic approach, knowledge based approach and Pattern recognition approach. This study is based on pattern recognition approach using Hidden Markov Model which is studied in detail as HMMs are found to yield best performance among all the available techniques.

MARKOV Model, HMM,

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Adarsh Pradhan, Nabanita Paul, Kakali Das, Rupam Jyoti Bordoloi, Dikhya Baruah, "Survey On Speech Recognition Using Hidden MARKOV Model", International Journal of Computer Sciences and Engineering, Vol.04, Issue.07, pp.158-161, 2016.