Informatics Publishing Limited

Arani Shah ¹, Bhragav Ravat ², Dhara Patel ¹, Darshan Dalwadi ³

Affiliations
1 Birls Vishwakarma Mahavidyalaya affiliated to Gujarat Technological University, IN
2 Electronics and Telecommunication Department from Birla Vshwakarma Mahavidyalaya , affiliated with Gujarat Techonological University, IN
3 Birla Vishwakarma Mahavidyalaya, IN

Abstract

Reduction of human efforts has become the essential motto for rapidly rising industries now days. Remote Control Technology has been a leader in innovative applications of wireless Radio Frequency (RF) remote control and telemetry devices. In this technological era as there is rapid growth in the number of industries and the different technologies used there, fault monitoring is a crucial task since the occurrence of one fault will affect the entire functioning of the system as a result of sequential faults; as a remedy here we made the system which not only detects the fault but also finds its solution without much men efforts. One of the main advantages of this system is that it does not require any hard wires or optical fiber cables for the data transmission as well as for fault detection. This paper displays the faults occurred in an industry using RF Technology since each load cannot be monitored manually but wireless way and gives the alert message of the fault on the mobile.

Keywords

Fault Detection, RF Communication, Encryption, Decryption.

Full Text

     

Bhargav Ravat ¹, Arani Shah ², Arjun Bambhaniya ³, Anjali Diwan ⁴

Affiliations
1 VLSI Technology, IN
2 Birls Vishwakarma Mahavidyalaya, Gujarat Technological University, IN
3 M.S.U. of Vadodara, IN
4 Shri Shankaracharya Institute of Engineering and Technology , Bhilai, IN

Abstract

Speech, iris, face, finger print are the fundamental parameters that can help in designing a biometric authentication system. These kinds of systems are helpful in recognizing the identity of the authenticated person. The voice is a signal of infinite information. Speech based biometric authentication system is the most successful one due to simple nature of acquiring the voice and uniqueness associated with it. In this paper Speech processing is emerged as one of the important application area of digital signal processing. Various fields for research in speech processing are speech recognition, speaker recognition, speech synthesis, speech coding etc. The objective of automatic speaker recognition is to extract, characterize and recognize the information about speaker identity. The mel frequency cepstral coefficient (MFCC) is one of the most important features required among various kinds of speech applications. Fundamental motto is to design a safety box which is being operated by the voice through MATLAB - MFCC and GUI. The system developed is able to recognize specific user by extracting various characteristics of speech signals. Tested on various sample speech which belongs to male and female of various age group. The level of accuracy obtained from MFCC is much higher than of the other concepts like Dynamic Time Wrapping and Perceptual Linear Prediction. Another advantage is its ease of usage which is being obtained through its GUI concept.

Keywords

Mel Frequency Cepstral Coefficient (MFCC), GUI, Speech Processing, FFT, DCT, Hamming Window, Feature Extraction.

Full Text