IJECT Vol. 9.1 (Jan – March 2018)

Vol 9 Issue 1 (Jan – March 2018)

International Journal of Electronics & Communication Technology Vol 9 Issue 1 (Jan – March 2018)
S.No. Research Topic Paper ID
01 Coulomb’s Force Algorithm in Wireless Sensor Network
Shekhar Dwivedi

Wireless sensor network is an emerging and very hot technology these days. Due to recent advancement in semiconductors, networking and material science technologies,deployment of wireless sensor network has become cheaper and easier. Wireless sensor network can simply defined as a network formed by low power devices known as sensor node which monitors the environment or target field and communicate the gathered information to base station or sink node through wireless links using single hop or multi-hop relaying. Node deployment is basic issue of wireless sensor network asit can influence the performance metrics of WSNs connectivity, coverage and Energy consumption. Many deployment schemes have been proposed for wireless sensor networks.In this paper, we have proposed an algorithm to deploy sensor nodes uniformly in the target region. Our proposed algorithm CFA is based on coulomb’s law. We have also compared our proposed algorithm CFA with existing algorithm in terms of average moving distance and uniformity.
Full Paper
02 Noise Estimation for Speech Enhancement
Shubham Nayak, Ashvini Paliwal, Aditya Mandhane, Dr. Jagdish Kene

This technical paper begins by introducing the concept of Speech enhancement, including a brief process of removal of noise for enhancing the speech. It discusses the main theoretical concepts of speech enhancement including the types of noise, algorithm used for enhancing speech, role of enhancement and procedures followed to get cleaned speech. This project is provided with various voice samples and output is provided at very back of the paper.
The main purpose of speech enhancement technique is to eliminate the background noise from speech signal to improve the quality of the speech signal. Speech signal is often corrupted by additive background noise like train noise, market noise, buzzing sound by internal components of mobile, wind etc. In such noisy environment listening at the end user is very difficult. This paper presents speech enhancement method using a priori noise estimation algorithm. Based on Peak Signal to Noise Ratio and Mean Square Error criterion the system evaluates the amount of surrounding noise present in speech. The proposed algorithm helps to improve the quality of speech signal at the listener end.
Full Paper