Performance Evaluation of Audio Coding by Amalgam AAC and FLAC Audio codec using MDCT and INTMDCT Algorithm

The MDCT and IntMDCT Algorithm is widely utilized is Audio coding.By lifting scheme or rounding operation IntegerMDCT is evolved from Modified Discrete Cosine Transform.This method acquire the properties of  MDCT and  contribute excelling invertiblity and good spectral mean.In this paper we discuss about the audio codec like AAC and FLAC using MDCT and Integer MDCT algorithm and to find which algorithm shows better Compression Ratio(CR).The confines of this task is to hybriding lossy and lossless audio codec with  diminished bit rate but with finer sound quality. Certainly the quality of the audio is figure out by Subjective and Objective testing which is in terms of MOS (Mean opinion square) , ABx and some of the hearing aid testing methodology like PEAQ(Perceptual  Evaluation Audio Quality)  and ODG(Objective Difference Grade)is followed. Execution measure, that is Compression Ratio(CR) and Sound Pressure Level (SPL) is approximated

Crowd Size Estimation and Detecting Social Distancing Using Raspberry PI and Opencv

In this covid19 pandemic the number of people gathering at public places and festivals are restricted and maintaining social distancing is practiced throughout the world. Managing the crowd is always a challenging task. It requires some kind of monitoring technology. In this paper, we develop a device that detects and provide human count and also detects people who are not maintaining social distancing . The work depicted above was finished using a Raspberry Pi 3 board with OpenCV-Python.This method can effectively manage crowds

Analysis of audio signal using various transforms for enhanced audio processing

Audio Signals are the portrayal of sounds. It changes with respect to frequencies rather than time, and it shows more information in the frequency domain. So it is much appropriate to evaluate in the frequency domain rather than the time domain. By using different transforms like DFT, DST, DCT, MDCT, Integer MDCT, the time domain audio signal can be converted into a frequency domain signal. The signal is reconstructed to analyze the features like mean square error, Signal to noise ratio, Peak signal to noise ratio between the original and reconstructed signal. Other features like energy, entropy, zero crossing rates (ZCR) were also considered for the evaluation. In this paper, different audio file formats were taken for interpretation. It includes wave file, mp3 file, m4a file, aac file, where wave file is in uncompressed format and mp3, m4a, aac are in compressed format.  These compressed files come under lossy compression.  The above-mentioned features are used for applications like music information retrieval (MIR). MIR includes onset detection, pitch detection and to measure the noise and loudness of the music

Swarm of drones exploration in confined area

Drones are used as helpful machine for the use of human in various mission to successfully complete the required work in less time .The swarm of drones is the advancement of the mission which are time typical and time complexity centered problems. Typical application with swarm drones are civil security ,distant and extended area, observation of hostile and other wide applications. While the Paper, used the lightweight and economical way to use swarm drone. Ad-hoc network is used as medium for the communication of multi drone for the exploration in confined areas. This paper the main point is that the swarm technology in the time complex missions and use it other than commercial purpose. The required data is collected form the real time flight of the drones and interpreted to find the successful path in completion of the required work. Predefined path defined to the multi drone in ordered for exploration in desired path. The purpose of this paper, acquisition and pattern formation in efficient manner of the successful path finding in confined areas for better exploration strategy. This work is developed with in framework to support robot operating system.   &nbsp

Robo hand car to monitor the health of the tracks in railways

Transportation plays a major role of a person’s life. A life without transportation is unimaginable. People focus on four major types of transportation i.e. Roadways, Railways, Airways and Waterways. Among these transportation majority of people prefer railways as it helps connect distant locations and the comfort it provides. But the problem in railways is it needs more of monitoring and thereby the person travelling across areas can be at ease. In order to ensure safety in railway transportation, monitoring of tracks is very crucial. Hence, this research article focuses on monitoring the tracks present in railways through a novel image processing technique devised. The name of the technique we devised is known as CRACK TRACKER. Crack Tracker does the role of monitoring the tracks by capturing the images of the tracks and it is sent to the nearby station so that the cracks can be patched in the future. The cracks are clearly detected and intimated instantly to the station master. A reliable solution for continuous and cost efficient tracking is processed and depicted in this research article