[1]
SYSTEMATIC MINING, RESERVES ESTIMATION, GRADE AND USES OF BAUXITE, LATERITE AND CLAY MINERALS IN MINING INDUSTRY DEPOSITED AT TIKARIYA VILLAGE IN KATNI DISTRICT OF (M.P.)
Vivek Deshkar & Vivekananda Mishra
The production of minerals is very useful for human being
and every living creature. Mineral are playing very vital role
for living creature on the earth. Every mineral plays a
different role with different combination as well as different
type of productive nature. Minerals are deposited in different
way on the earth’s i.e., igneous deposit, Sedimentary deposit
and metamorphic deposit. Here we are talking Bauxite,
Laterite and clay deposit and its “Systematic mining,
Reserves estimation, grade and uses of Bauxite, Laterite and
Clay minerals in mining industries’’ in Jabalpur and Katni
district area. Jabalpur district
Katni district area : It is the most developed
and exploited bauxite area of M.P. Bauxites are associated
with low level laterites and clay. The average thickness of
bauxite in the leasehold of various area varies from 2 to
12m. Bauxite is derived from Vindhyan limestone and
shale. Katni bauxite has good reserve of refractory grade as
well metal grade.
[2]
A REVIEW ON SYSTEMATIC MINING, RESERVES ESTIMATION, GRADE AND
USES OF BAUXITE, LATERITE AND CLAY MINERALS IN MINING INDUSTRY
DEPOSITED AT TIKARIYA VILLAGE IN KATNI DISTRICT OF (M.P.)
Vivek Deshkar & Vivekananda Mishra
The production of minerals is very useful for human being
and every living creature. Minerals are the leading cause of
extant phase of automation, & play a central role in the
present phase of the national reduced & global progress of
the nation. India has significant mineral resources. India
procures many minerals (approximate 89 minerals) out of
which 4 are fuel minerals, approximate 11 metallic and 52
nonmetallic and 2 minor minerals for example Bauxite,
laterite, Copper, Lead & zinc, Gold, Iron ore, Chromite’s
Manganese, Limestone, Dolomite, Diamond etc. Here we
are talking Bauxite, Laterite and clay deposit and its
“Systematic mining, Reserves estimation, grade and uses
of Bauxite, Laterite and Clay minerals in mining
industries’’ in Jabalpur and Katni district area. Jabalpur
district Bauxite deposits are located near Katni, Bakeware,
Salemabad and Dundi area. Most of these smaller deposits
are leaseholds. Katni district area: It is the most developed
and exploited bauxite area of M.P. Bauxites are associated
with low level laterites and clay. The average thickness of
bauxite in the leasehold of various area varies from 2 to
12m. Bauxite is derived from Vindhyan limestone and
shale. Katni bauxite has good reserve of refractory grade
as well metal grade. The important bauxite mining areas in
Katni area are Tikuri, Tikariya, Bargawan and Padarwara,
Kusmi, Baghai etc.
[3]
Design and implementation of Breast Cancer Detection Using Hybrid Machine Learning
Nidhi Mangoriya & Vinod Patel
The early detection of breast cancer is critical, as
therapeutic actions are likely to be successful in the
early stage of the disease. The different best
radiological techniques are currently available for
early detection of breast cancer. However, some of
the breast lesions are missed during screening by
radiologist, as they need to interpret large number
of screening programs. Medical image processing
techniques have been developed to help
radiologists to improve detection process. The need
for the thesis is to exploit recent developments of
image processing techniques to improve breast
cancer detection and reduce diagnosis errors. To
proposed a new algorithm using hybrid machine
learning for Breast Cancer Detection.
[4]
NON-EDIBLE OIL LIKE MAHUA, JATROPHA AND NEEM USED AS THE BIODIESEL BLENDS AS AN ALTERNATIVE FUEL IN C.I. ENGINE - A REVIEW
ankit kumar singh & rajeev singh chauhan
As we know by day to day increase in fuel like gasoline, diesel, petrol with day by day increasing the demand of vehicles
we have to choose an alternative option for fulfil the demand of people. From about 100 varieties of oil seeds only , 10-12
varieties have been tapped so far . the main non -edible oil is Karanja, neem, mahua, olive etc.
when we use non edible oil like mahua, neem, jatropha, olive etc by mixing with diesel an experimental results will found.
when we mixed jatropha, mahua, neem as 20% with 80% diesel and 40% and 60% diesel. An experimental results will
found with help of RK software. The emission like Cox, Sox , NOx is also less in these type of biodiesel fuel .
If such type of process will be scaled at commercial level then a suitable business will be formed and beneficial income
for farmers.
[5]
Design and Implementation Cloud Computing Data Using Light Weight Hybrid Encryption Scheme
Ankit Bijoria & Bhawana Pillai
Cloud computing has a lot of advantages for those
who use it, but it also has a lot of drawbacks and
inefficiencies, the most important of which is
security. In order to take use of a remote cloudbased infrastructure, a corporation must
essentially hand up sensitive and proprietary data
and information. To limit access to such sensitive
and confidential data, secret sharing mechanisms
are employed. The number of participants in the
reconstruction phase is critical for recovering the
secret in threshold secret sharing schemes. In this
research, we introduce outsourced computation
Design and Implementation Cloud Computing
Data Using Light Weight Hybrid Encryption
Scheme
[6]
Detecting HVDC Fault Locations Using Deep Neural Networks
Abhishek Jagwanshi & Manish Khemariya
With a continuous escalation in demand of power, the
Indian Electrical system is in constant demand for long
transmission lines to fulfill its requirement due to
extremely distributed demand and generation location.
Advanced HVDC system is one such possibility that finds
its utility, especially during long-distance transmission.
Such electrical transmission systems are prone to short
circuit faults, which subsequently leads to a large current,
which will eventually harm or damage the system’s
equipment. Thus, the system requires a quick restoration
in order to reestablish power transmission and assure
system safety. Hence, the objective of this work is to
develop a model, which can precisely assess the location
of the fault. The work intends to cultivate a model, which
will not only provide accurate results but is also
collectively optimal. A Bi-polar transmission line 814 km
long and operates at 700 kV, with the ability to transfer
1500 MW of power, developed on PSCAD/EMTDC
software based on CIGRÉ benchmark guidelines. The
designed model is further simulated for short circuit fault
with fault ON resistance of 0.01 ? and fault OFF
resistance of 1.0 x 10 6 ? with varying fault location
along transmission line at an interval of 1 km. The
acquired data collected and processed for feature
extraction. Data from both the ends of the transmission
line is used for training and testing of deep neural
network models. The evaluation of the proposed system
has been done based on the mean squared error and
accuracy of fault estimation. The error obtained during
testing are in the range of 1-2 km, which is outperforms
contemporary baseline approaches.
[7]
Design a novel algorithm for Intrusion Detection Model Using Recurrent Neural Networks
Avani Bhoyar & Vinod Patel
The malicious activity and policy violations on
network of systems is continuously monitored by
device or software application called IDS
passively monitor the data and uncover any
potentially disastrous connection. Technically IDS
are aimed at serving three important security
functions i.e., monitoring the data, unearthing any
potentially harmful transactions and finally
responding to unauthorized activity. With the
gigantic structure of the Internet, its distributed
nature and lack of central security mechanism,
the prevention of attacks is not possible and
therefore detection and recovery from attacks
become indispensable. The IDS does exactly as
the name suggests, it detects the possible intrusion.
To study the impacts of application of the wavelets
on the detection coverage of Recurrent Neural
Networks classification model for network Intrusion
Detection.