Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Objectives: The first installed optical fiber links were used for transmitting the telephony signals about 6 Mb/s over distance of around 10 km. Since the demand on communication network increases for bandwidth hungry services such as voice, video and data, telecommunication companies greatly enhanced the capacity of fiber lines. As increasing in the research further more leads to development in Wireless optical communication. These systems work in the same IR range in which normally the Optical fiber systems work. Methods/Statistical analysis: The Free-space optical interconnection (FSOI) technology enables high interconnection speed in next-generation services. FSOI uses laser links between the transmitter and receiver provides a lower propagation delay due to the line-of-sight (LOS) path and lower index of refraction of air. The performance of the links highly dependent on different weather conditions such as Fog, Turbulence and Rain. In this paper the combined result of Fog, Rain and Turbulence on FSOI links are compared and the suitable modulation technique is suggested to increase the spacing between optical transmitter and receiver. Findings: This paper gives the idea of which modulation technique is better for outdoor environment and to multiple users. This paper shows that maximum distance of 4 km between transmitter and receiver is possible by using M-QAM (M=16). Application/Improvements: Longer distance transmission provided with less loss of data even in high attenuation (30 dB/km) also provides multi user transmission. © 2017 IEEE.

VIT Unitversity

Electronics

School of Electronics Engineering

Chennai Campus

2017 International Conference on Nextgen Electronic Technologies: Silicon to Software (ICNETS2)

Analysis of atmospheric effects on free space optical communication

Objectives: Cochlear implantation of sensorineural hearing loss requires accurate measurement of cochlear nerve (CN). The precise measurement of very small structures can be improved by automated segmentation and measurement. The variability and reproducibility of the computer-assisted measurement were compared with manual measurements. Materials and Methods: The 3D-constructive interference in steady state magnetic resonance imaging (MRI) images of twenty patients who were referred for MRI in the assessment of giddiness/vertigo or fitness for cochlear implant during the period from June 2013 to June 2014 were analyzed. The CN sizes were measured manually by two independent radiologists. The automatic measurements were then performed on the same images, and its correlation and agreement were calculated between automated and manual measurements. Results: The intra-observer correlation coefficients were significantly larger for cross-sectional area (CSA) of CN using automated measurements when compared to manual measurement (intra-observer r: 0.94021 vs. 0.91437). Similarly, the inter-observer correlation for CSA of CN is also higher in automated measurements (inter measurement r: 0.94786 vs. 0.92013). Conclusions: Using computer-assisted CN dimension measurement, the intra- and inter-observer correlation can be improved when compared to manual measurements. The automated measurement can assist the radiologist in eliminating the need for tedious manual tracing and thus, the time and effort for manual segmentation are also significantly reduced. © 2017 Indian Journal of Otology Published by Wolters Kluwer - Medknow.

World University root node

Indian Journal of Otology

Comparison of manual and computer-assisted measurement of cochlear nerve obtained from magnetic resonance imaging

A novel tool for the establishment of cardiothoracic ratio in chest radiographs is explained in this paper. Cardiothoracic ratio is the vital parameter in the evaluation of heart size. Identification of patients having enlarged heart (cardiomegaly) or narrow heart can be determined through this simple tool. Medical chest x-ray images are taken for consideration and it is been undergone through the following operations like pre processing, feature extraction and computation of cardiothoracic ratio .In the feature extraction process using zernike moment algorithm the heart is extracted. Based on cardio thoracic ratio values the various heart sizes are identified and tabulated. More than 1200 normal chest x-rays are tested and compared with theoretical values. Also comparison is shown for various sample sizes. Matlab 2012R simulation tool is used for this process. This method will help the physicians even in identifying one of the heart disease namely cardiomegaly (enlarged) which may leads to heart failure. © 2018, Institute of Advanced Scientific Research, Inc. All right reserved.

Journal of Advanced Research in Dynamical and Control Systems

A simple tool for establishing cardiothoracic ratio in chest radiographs with help of zernike moment algorithm

International Journal on Intelligent Electronic Systems

A COMBINATION OF LOCATION AVERAGING FEATURE REDUCTION TECHNIQUE WITH RECOGNITION ALGORITHMS FOR FACE RECOGNITION SYSTEM

Indian Journal of Science and Technology

Reduction of Four Wave Mixing Nonlinearity Effect in WDM Radio over Fiber Systems

International Journal of Scientific Engineering and Technology

Four Wave Mixing Nonlinearity Effect in WDM Radio over Fiber System

To tackle tremendous growth in the network traffic, EPON (Ethernet PON Networks) based on Time Division Multiplexing (TDM) is being used. There is a need for a Dynamic Bandwidth Allocation (DBA) algorithm to control the flow of sequence of data among the subscribers. In this paper a new user prioritized Dynamic Bandwidth Allocation (DBA) algorithm is demonstrated. Depending on the prioritized request, bandwidth is allocated to each Optical Network Unit (ONU). The paper addresses Inter and Intra ONU allocation. The bandwidth is allocated fairly among the ONUs. The proposed algorithm is evaluated against various dynamic bandwidth allocation algorithms on different performance characteristics like fairness, bandwidth utilization and packet delay using MATLAB. Findings: The simulated results of the proposed algorithm show improvements in performance characteristics compared to the other algorithms.

Fulltext

User Prioritized Constraint Free Dynamic Bandwidth Allocation Algorithm for EPON Networks

Procedia Materials Science

Detection of Cancer in Lung with K-NN Classification Using Genetic Algorithm

International Journal of Research in Engineering and Technology

CONSTRUCTION OF SINE AND COSINE HOLOGRAM OF BRAIN TUMOR IMAGE

Glaucoma is a disease which affects the eye and causes blindness. It is an ophthalmologist disease characterized by an increase in Intraocular Pressure (IOP). The glaucoma usually affects the optic disc on the retina which increases the cup size. There are various parameters to identify and diagnose glaucoma. The clustering technique is introduced to detect the glaucoma from the optic disc and cup in the retinal fundus images. Fuzzy C Means (FCM) Clustering is used for clustering the data in which the data points are clustered with different membership degree. But it does not fully utilize the spatial information in the image. The Modified Spatial Fuzzy C-Means clustering with spatial rotation has been proposed to detect glaucoma in retinal fundus images. The first and foremost step is preprocessing operation, in which the optic cup and disk of the input image is being rotated. Initially the optic disk is rotated in some angle and the distance between the data points are measured and a cluster is formed based on the centroid. The centroid and data point along with the cluster can be identified in each step then the common set of points is clustered together. This process continues until no more centroid is found. The cluster with more data points that do not match with the original image is considered as the retinal image with glaucoma disease. In future, this algorithm can be extended to larger clinical databases in order to identify the glaucoma at the maximum level. © 2014 Science Publications.

Journal of Computer Science

A MODIFIED SPATIAL FUZZY C-MEANS CLUSTERING ALGORITHM FOR DETECTING GLAUCOMAIN RETINAL FUNDUS IMAGES

An efficient algorithm to dynamically allocate the bandwidth in the Ethernet Passive Optical Network (EPON) is proposed. The algorithm provides bandwidth allocation between Optical Network Units (ONUs) and also within the ONUs for different types of traffic. It also efficiently divides the excess bandwidth between the ONUs. The proposed algorithm is compared with the existing Russian Doll Model Dynamic Bandwidth Allocation (RDM DBA) algorithm and Min DBA algorithm. The results show a considerable improvement in bandwidth and fairness. © Research India Publications.

International Journal of Applied Engineering Research

Modified Russian Doll Model for Efficient Dynamic Bandwidth Allocation in EPON