Informatics Publishing Limited

Mandeep Singh Saini ¹, Parvinder Singh ², Manish Dev Sharma ³

Affiliations
1 Electronics and Communication Engineering at Rayat Institute of Engineering and Information Technology, SBS Nagar, IN
2 Department of Electronics and Communication Engineering at Rayat Institute of Engineering and Information Technology, SBS Nagar, IN
3 Department of Physics, Panjab university, Chandigarh, IN

Abstract

This paper proposes a protocol for reliable broadcasting of life safety messages in Vehicular Ad-hoc Networks (VANETs). In this protocol, main aim is to improve average latency for life safety message. In case of any dramatic change of speed or moving direction, the vehicle is considered abnormal and hence it transmits an emergency warning message. The proposed protocol gives the vehicle in the most dangerous situation the highest priority to transmit the life safety signal. The choice of that vehicle is done locally based on the location, direction, speed, and the breaking distance of the receiving vehicle. The superiority of the proposed protocol over existing protocols is highlighted conceptually by showing the better latency than the related protocol with simulations.

Keywords

VANET, Broadcasting Protocol, Headway Model, Brake-Distance Aware Model.

Full Text

     

Onkar Singh ¹, Neeru Singla ¹, Manish Dev Sharma ²

Affiliations
1 Department of Electronics and Communication Engineering, Rayat Institute of Engineering and Information Technology, SBS Nagar, Punjab-144533, IN
2 Department of Physics, Punjab University, Chandigarh-160014, IN

Abstract

Classification of audio signals according to their content has been a major concern in recent years. There have been many studies on audio content analysis, using different features and different methods. It is a well-known fact that audio signals are baseband, one-dimensional signals. General audio consists of a wide range of sound phenomena such as music, sound effects, environmental sounds, speech and nonspeech signals. In this paper we classified the audio systems using feedforward neural network to measure the suitability for accuracy in classification and time taken to classify. Here we have investigated and analyzed this system to optimize the neural networks as to what layers our system is most suitable to classify audio wave files. Here accuracy of above 99% is reported.

Full Text

     

Jashangeet Kaur ¹, Ankush ¹, Kanika ¹, Manoj Bali ², Manish Dev Sharma ³, Navdeep Goyal ³

Affiliations
1 Department of Physics, Centre of Advanced Study in Physics, Panjab University, Chandigarh, IN
2 B.H.S.B.I.E.T., Maharaja Ranjeet Singh State Technical University, Lehragaga, Sangrur, IN
3 Department of Physics, Centre of Advanced Study in Physics, Panjab University, Chandigar, IN

Abstract

Ge-Sb-Te(GST) has gathered immense interest in memory applications due to its modifiable physical and electrical properties.A phase change memory (PCM) cell made up of pure GST has better data retention, switching speed and power consumption than conventional storage devices. A further improvement in these properties can be accomplished by doping with various elements. To comprehend the present scenario of GSTbased phase change memories, it is vital to know about the doping trends. Foreign elements engineer the material properties to produce a PCM device with better physical and electrical properties. This manuscript constructs a comparison of various elements which will serve as a key in research while determining the most advantageous impurity. C, N, O, Si, Se and some transition metals are also examined. A tabular illustration yields correlated effects on physical and electrical properties of dopants on pure GST. Suggestions for future advancements are also specified and substantial conclusions are inferred from the literature review.

Keywords

Phase Change Memory, Gesbte, Chalcogenides, Dopant Effect, Material Properties.

Full Text