Saurabh Agarwal and K.V. Arya
COVID-19 is a pandemic that has affected the healthcare
system and the global economy. The symptoms of COVID-19 and
pneumonia are very similar, so it is a challenging task to differentiate
between the two diseases. Available Test Methods such
as Real-time Reverse Transcription-Polymerase Chain Reaction (RRT-PCR)
and Rapid Diagnostic Tests (RDT) are costly,
time-consuming, with high false detection rates and limited
availability. Therefore, the research community should come
forward with other alternative methods that can detect these diseases
faster and prevent the spread of COVID-19 and hence,
Chest X-ray (CXR) has emerged as a very popular solution as it is cheap
and very easily available everywhere. This paper
proposes an automated COVID-19 detection model based on chest X-rays.
The proposed model developed a fusion of
multiple pre-trained convolutional neural networks to extract deep and
high-level features from CXR images. This model is
tested for three different classes on two different data sets and
achieves an accuracy of 94.05% and 92.25%, respectively.
These classes are: COVID-19, Pneumonia, and Normal (Healthy).
Keywords: CNN, COVID-19, Fusion, Multi Model, Chest X-rays
Julio Sotomayor, Daniel Yucra , Jorge Mayhuasca
The article presents an evaluation of free technologies for business
process automation, with emphasis only on tools
compatible with the General Public License (GPL). The compendium of
technologies was based on promoting a Service Oriented Enterprise
Architecture (SOA) and the establishment of a Business Process
Management System (BPMS). The
methodology for the selection of tools was Agile UP. This proposal
allows businesses to achieve technological sovereignty
and independence, in addition to the promotion of service orientation
and the development of free software based on
components.
Keywords: BPM, BPMS Suite, Open-Source Software, SOA, Enterprise
Architecture, Business Process Management
Bibhab Kumar Lodh and Vipin K. Tripathi
A review has been done on the formulation of mathematical models for
designing anaerobic batch reactor for the producing
of biogas from solid wastes. Using material balance analysis, the design
parameters, especially biokinetic behavior of solid
wastes are studied. Hydrolysis constants and reaction orders at both low
total solids concentrations and high total solids
concentrations were thoroughly reviewed by initial rate method.
Population growth model and first order hydrolysis model
are also studied. It has been found that if sufficient reaction time is
given, in terms of reaction kinetics, the hydrolysis process
in kitchen waste fermentation can be described as a first order
reaction. An attempt is done by utilizing the biodegradable
kitchen waste collected from Aryabhatta hostel, NIT Agartala for
generation of biogas and demonstrating the possibilities of
energy recovery. A simple anaerobic digester has been fabricated to
capture the generated biogas. To produce methane as a
clean fuel the use of cow dung as substrate is studied to ferment the
kitchen wastes.
Keywords: Anaerobic digester, Biodegradable Kitchen and Food
Wastes, Biogas, methane, cow dung
Atul Gargade and Shantipal Ohol
This paper presents a screw driven in-pipe inspection robot (IPIR) that
runs on the principle of screw. The IPIR composed of
a fore leg system, rear leg system, connectors and a DC motor. In this
research work, a prototype of in-pipe inspection robot
has been designed and developed. To verify the potency of the driving
mechanism of IPIR, numbers of experiments are
conducted through straight pipes, couplings, and 90-degree bends of 8 to
10 inches diameter range at 0-degree, 45 degree,
and 90 degree inclination. This robot can be utilized for special tasks
such as inspection, maintenance, and cleaning of water
pipelines, gas pipelines, oil pipelines, and sewage systems.
Keywords: Bends, couplings, driving mechanism, inspection, screw
driven
Riziyamaalisa Gavit and Kiran Wani
Automotive reactive muffler attenuate sound using interference which is
produced by engine exhaust sound waves are
partially or fully cancelled. to reduce the complexity of design this
process is carried, which involves CAE modelling and
analysis followed by optimization technique for maximization TL.TL
constitutes a spectrum it has a function of frequency, to
obtained single global measure RMS is calculated known as RMSTL. For
optimization Genetic algorithm provide variation.
for experimental validation of data, the Experimental is carried on
Impedance tube, Conical adapters are designed to
accommodate different diameter openings of Impedance tube and muffler.
optimization done, by taking design variable as
length and diameter of inlet outlet and muffler chamber varied in range
of -15% - +15% of original dimensions. Later
simulation results of this variable muffler are compared with base
muffler results. In the optimized solution we obtain
10.24% maximization in TL suggested by this optimized solution.
Keywords: Transmission Loss, Muffler, Genetic Algorithm
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