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Diwan, Anjali
- Development of an Arm Based Modbus RTU to TCP/IP Protocol Converter Using μC/OS II
Abstract Views :165 |
PDF Views:2
Authors
Affiliations
1 Embedded Engineer at CMC Limited, Hyderabad, IN
2 MBICT, Vallabh Vidyanagar, IN
3 CMC Limited, IN
1 Embedded Engineer at CMC Limited, Hyderabad, IN
2 MBICT, Vallabh Vidyanagar, IN
3 CMC Limited, IN
Source
Networking and Communication Engineering, Vol 5, No 6 (2013), Pagination: 271-274Abstract
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.- Automatic Speech Recognition Using Vector Quantization Concept
Abstract Views :157 |
PDF Views:1
Authors
Affiliations
1 MBICT, Vallabh Vidyanagar, IN
2 CMC Limited, Hyderabad, IN
1 MBICT, Vallabh Vidyanagar, IN
2 CMC Limited, Hyderabad, IN
Source
Digital Signal Processing, Vol 5, No 5 (2013), Pagination: 182-185Abstract
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.- Speaker Recognition Application using MFCC GUI Concept
Abstract Views :186 |
PDF Views:3
Authors
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
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
Source
Digital Signal Processing, Vol 4, No 5 (2012), Pagination: 212-216Abstract
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.- Biometric Authentication System Using Fingerprint Identification
Abstract Views :183 |
PDF Views:3
Authors
Affiliations
1 MBICT, Vallabh Vidyanagar, IN
2 Engineering in Electronics and Telecommunication Department from Birla Vshwakarma Mahavidyalaya, affiliated with Gujarat Techonological University, IN
1 MBICT, Vallabh Vidyanagar, IN
2 Engineering in Electronics and Telecommunication Department from Birla Vshwakarma Mahavidyalaya, affiliated with Gujarat Techonological University, IN
Source
Biometrics and Bioinformatics, Vol 4, No 8 (2012), Pagination: 339-343Abstract
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.- Touch Screen Based Home Automation System
Abstract Views :163 |
PDF Views:4
Authors
Affiliations
1 Electronics and telecommunication field, Birla Vishwakarma Mahavidyalaya College, IN
2 Gujarat Technological University, Gujarat, IN
1 Electronics and telecommunication field, Birla Vishwakarma Mahavidyalaya College, IN
2 Gujarat Technological University, Gujarat, IN