Informatics Publishing Limited

Bhargav Ravat ¹, Anjali Diwan ², P. Siva Kumar Reddy ³

Affiliations
1 Embedded Engineer at CMC Limited, Hyderabad, IN
2 MBICT, Vallabh Vidyanagar, IN
3 CMC Limited, IN

Abstract

In recent years, embedded technology has been rapidly developed and the embedded systems can adapt to strict demands of the supervisory control and data acquisition system in features, reliability, cost, size and power consumption etc. Using the embedded multi-MCU and high-speed dual-port RAM data sharing technology, communication protocol conversion equipment based on embedded multi- MCU and real-time multitasking operating system μC/OS-II has to be developed. With the help of RS232 or RS485 communication interfaces for lower machines such as data acquisition I/O modules, smart intelligent instruments and so on, the data is collected by this unit. Then, the data is transferred by Ethernet communication interface to remote monitoring systems such as Direct Attached Storage (DAS) or Distributed Control System (DCS). The functions of industrial communications network will be realized. Thus in this project the MODBUS/RTU to TCP/IP protocol conversion is focused mainly. The system has high reliability and real-time performance, and can facilitate the realization of data exchange, data sharing and information processing among embedded MCU’s.

Keywords

Modbus Transactions, Protocol Conversion.

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Bhargav Ravat ¹, Ravi Sankar Nunna ²

Affiliations
1 CMC Limited, Hyderabad, IN
2 Bharat Institute of Engineering and Technology, Hyderabad, IN

Abstract

Video compression involves image compression and audio compression. Compression basically removes or reduces the redundant data, but retain the quality of the video. Video compression leads to reduction in storage and easier transmission, which leads to lesser hardware and reduced cost. It also reduces the time required for videos to be sent over internet or downloaded. Video compression can be achieved by using different transforms like FT, DCT, and DWT etc. In this project video compression is done using Discrete Wavelet Transform (DWT). DCT maps a time domain signals to a frequency domain representation. To calculate the DCT of an entire video frame takes an unacceptable amount of time. The only solution is to partition the frame into small blocks and then apply the DCT to each block. However, this leads to degradation in picture quality. DWT offers an advantage that, it can be applied to entire frame without partition. DWT is another transform that maps time domain signals to frequency domain representations. There are three main parts found in a standard video compression algorithm: Motion Compensated Prediction (MCP), Transform Coding (DWT/DCT), and Group of pictures (GOP).
There are several motion estimation algorithms amongst which Adaptive Rood Pattern Search (ARPS) is used in this project. The main advantage of ARPS is that computation time is less. The implementation is done using MATLAB 7.5 version. The audio and video from the input are treated separately. Firstly both the video and audio is divided into frames. The video frames are then converted into images. The group of frames undergo block matching which consist of motion prediction and motion estimation, to judge the movement of objects in a scene. Then DWT is applied which generate coefficients and then actual compression is achieved by eliminating the redundant coefficients by choosing appropriate threshold. This threshold is selected so as to achieve good compression ratio. The audio frames undergo decomposition using DWT. Here the compression is achieved by non-linear quantization of the coefficients obtained. The compressed video and audio are stored and if required transmitted. When the video need to be played, compressed audio and video are reconstructed using Inverse DWT (IDWT). Finally both are combined and played.

Keywords

Fourier Transform, DWT, APRS.

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Anjali Diwan ¹, Bhargav Ravat ²

Affiliations
1 MBICT, Vallabh Vidyanagar, IN
2 CMC Limited, Hyderabad, IN

Abstract

Since even before the time of Alexander Graham Bell's revolutionary invention, engineers and scientists have studied the phenomenon of speech communication with an eye on creating more efficient and effective systems of human-to-human and human-to-machine communication digital signal processing (DSP), assumed a central role in speech studies. The first step is the extraction of feature vectors based on MFCC. The second is the classification of feature vectors using Vector quantization. The extracted acoustic parameters from the voice signals are used as an input for the MFCC. The main advantage of this method is less computation time and possibility of real-time system development. This paper introduces the design and implementation of the system for recognizing pathological and normal voice. In this ASR system we have used Vector quantization Algorithm.

Keywords

Mel Frequency Cepstral Coefficient (MFCC), Acoustic Parameters, Speech Processing, Vector Quantization, ASR, Hamming Window, Feature Extraction.

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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.

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Anjali Diwan ¹, Bhargav Ravat ²

Affiliations
1 MBICT, Vallabh Vidyanagar, IN
2 Engineering in Electronics and Telecommunication Department from Birla Vshwakarma Mahavidyalaya, affiliated with Gujarat Techonological University, IN

Abstract

Security has became the fundamental research field now a days. Finger print, iris, face, speech 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 finger print based biometric authentication system is the most successful one due to simple nature of acquiring the image and uniqueness associated with it. An embedded system design that can acquire the finger print image, store on board level and allow the access to restricted resources is presented here. In this technique the first thing is the enrollment of the finger print and at the later stage authentication procedure is performed. The system is proposed to be designed with ARM microcontroller from Philips. The LPC2148 from ARM 7 series is a 32 bit microcontroller having capability of serial peripheral and UART interface for interfacing finger print sensor module. The optical finger print sensor module SM630 has been used. The finger print can be scanned and used to for the authentication of the person. E2PROM is used to store data of the person to be authenticated.

Keywords

LPC2148 Controller, Intelligent, Authentication System, Fingerprint Identification, LCD.

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Bhargav Ravat ¹, Anjali Diwan ²

Affiliations
1 Electronics and telecommunication field, Birla Vishwakarma Mahavidyalaya College, IN
2 Gujarat Technological University, Gujarat, IN

Abstract

Technology always played a vital role in the modern era through the innovations; affecting all the major areas on which humanoid always been dependent whether it may be residential areas or it may business zones. Probably a decade before it was the era of Laptop (Digital Com) whereas today it’s of Smart Phones and tablets. The desirable aspect from the technology has always been an extreme level comfort by the end consumer. The primary motive to write this paper is to discover a methodology from which one can remotely access all electrical equipment by using a touch pad; simultaneously can check the status of appliance at any point of time. Touch screen remote control for electrical appliances, input devices are incorporated into displays, which ultimately results into saving of valuable of workspace.

Keywords

Graphical LCD, Touch Pad, Capacitive Pad, BASCOM AVR, HT12E, HT12D.

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