Page 13 - Tarangni 7-2

FPGA Architecture Inspired Solar Array Classification Of Brain Tumor Using
Reconfiguration under Partial Shading Resnet50 (ECE)
Condition (EEE) Anand A.(Assistant Professor (Sr. Gr)) , Ridhuparan K. , Karthik
G.S. , Sooraj Veer R. , Raghu Prasath V.
Aravinth M, Marudhuvel Raj, Sarathkumar R, Vasanth M S, Ms.
Brain tumor is a deadly cancer type; early and precise
Bavithra K (Assistant Professor, EEE)
identification is significant for the medication process. In the
Several factors like irradiation, temperature, dust, and partial past decades, the brain tumor is detected using computer
shading influence solar power generation. When compared to aided systems i.e. MRI Scan. These MRI images must be
panels getting equivalent irradiation, the solar photovoltaic processed with the utmost care since a small glitch in the
array delivers less power under partial shaded condition. The outcome of MRI images is fatal. To overcome this problem,
aim of the project was to obtain maximum power out of solar Convolutional Neural Network approach for brain tumor
cl
panels by configuring the electric connections that is inspired classification is implemented here. The Deep neural network
from FPGA architecture. is able to pull out required features from the input and tumors
are classified. Initially, the MRI images are pre-
processed,RGB converted, image augmentation is performed
and fed into the neural network. By using ResNet architecture
an accuracy of 98% is achieved.

Performance Analysis of Different
Types of Spatial Modulation in mm
Wave Band (ECE)
Reba P (Assistant Professor ) , Jaisri A. , Janani V.N. , Shunmuga
Bhagyashri T. , Swathi S.
Milli meter wave (mm-wave) communication and Multiple
Input Multiple Output (MIMO) systems serve as promising
solutions to overcome the various challenges possessed by
the future wireless systems. MIMO along with mm-wave,
Remaining Driving Range Prediction for facilitates the overall increase in data rate. Spatial Modulation
(SM) techniques have the inherent potential to overcome the
Electric Vehicles (EEE) drawbacks of MIMO systems such as increased energy
Dennis Stanley L, Jeffrey Steve N, Shravan S, Venkatraghavan R , Dr.
consumption,omplexity and cost. The three SM techniques
E. Malar (Professor, EEE) consumption, c
used in our proposed system are Generalized Spatial
The project is about prediction of driving distance based on the Modulation (GSM), Quadrature Spatial Modulation (QSM) and
remaining energy left in the electric vehicle battery. Aim of the Differential Spatial Modulation (DSM). All the Spatial
work is to estimate the parameters required to calculate the Modulation (SM) techniques are implemented for mm-wave
energy, such as the driving profile and the battery's state of MIMO transceiver structure. The analytical and simulated
charge. average Bit Error Rate (BER) of the proposed systems are
compaed for performance analysis.
compar

Solid Works Model of the prototype of semi-automated cooking machine (Mech)
Koushik S C, Santhosh Ram R, Vishal Subramaniam R, Mr. C. Gopalakrishnan (Assistant Professor)
Proposing a design to automate and scale the process of cooking staple dishes, the project fulfills the need of minimal human
intervention in cooking, while still accommodating the quality and taste of the dishes. The novel project works with Indian cuisines
like Idli, Dosa and Chapathi, by mechanically spreading out the batter/ dough and heating them.With the coordination offered by
Arduino circuits and solenoid operated valves, this project aims to create the dishes in an inexpensive, safer and compact
environment.

Representation of mechanical chambers to cook staple Indian dishes in a larger
scale

PSG iTECH | TARANGINI | VOLUME 7 | ISSUE 2 | 12