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Covering approximation space for Lattice
Kedar Chandra Parida
Abstract:
In 1981 Prof.Pawlak introduced Rough set theory. It covers the areas of
research in artificial intelligence, knowledge representation system,
imprecision, vagueness and others. All vague concepts is substituted by a
pair of precise concepts- one is the lower approximation and other is the
upper approximation of the vague concept. The lower approximation consists
of all objects which definitely belong to the concept and the upper
approximation contains all objects which probably belong to the concept.
The difference between these two approximations constitutes the boundary
region of the vague concept. Lattice concept was introduced by Peirce and
Schroder. Structure of Lattices are simple since the basic concepts of the
theory include only least upper bounds , greatest lower bounds and the order
relation. Now it plays an important role in many disciplines of engineering
and computer science .
Here we applied the rough set theory to the lattice theory and a
concept introduced here known as lattice rough, which deals with the
problems of uncertainties in our day to day life.
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1-5
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CUBIC SPLINE APPROXIMATION FOR TWO DIMENSIONAL NON-LINEAR
ELLIPTIC BOUNDARY VALUE PROBLEMS
RENU YADAV
Abstract:
This section exhibits a nine point reduced discretization of order two in y-and three in x-bearings for the solution of two dimensional nonlinear elliptic boundary value problems on a
non-uniform mesh using cubic spline approximations. We examine the total deduction
strategy of the method in details and furthermore talk about how our discretization can handle
Poisson’s equation in polar coordinates. Convergence of the method has been set up. Some
physical examples and their numerical outcomes are given to legitimize the convenience of
the proposed method. The second order elliptic equations are gotten as the consistent state
solutions (𝑎𝑠 𝑡 ⟶ ∞) of the illustrative and wave equations. Solutions of these equations are
of incredible significance in numerous fields of science, for example, electromagnetics,
astronomy, heat transfer, fluid mechanics and so on the grounds that they may speak to a
temperature, electric or attractive potential, and relocation for an elastic membrane.
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6-14
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SECURITY MANAGEMENT AND ENHANCEMENTS FOR UPCOMING
INTERNET OF THINGS (IOT) APPLICATIONS
ANJU BALA
Abstract:
The emerging patterns in the Internet and embedded innovations have enabled objects
surrounding us to be interconnected with one another. The security gives nice the speed of the
advancement of IoT on the grounds that the IoT is a rich wellspring of information it will
consistently is helpless against refined attacks. The layers of the IOT are presented to various
threats like unapproved access, eavesdropping and spoofing. Security is highly critical in
practically all IoT applications that have effectively been conveyed or are currently
deployment. The applications of IoT are increasing quickly and penetrating the vast majority
of the existing industries. We can say that IoT network is formed with asset constrained and
low-power low-performing objects. Considering the IoT reference model, each layer will
have its own security difficulties and issues.
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15-26
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NEW ROW MAXIMA METHOD TO SOLVE MULTI-OBJECTIVE
TRANSPORTATION PROBLEM USING C – PROGRAMME AND FUZZY
TECHNIQUE
Kavita
Abstract:
The transportation problem is one of the sub-classes of linear programming problems in which the
objective is to move different amounts of a solitary homogeneous items. We propose a modified algorithm
for fathoming MOTP. Proposed method is a modified method to new row maxima method. Rather than
considering normal we have considered min-max arrangement for multiple objectives. In this problem we
get improved answer for two of the three objectives when contrasted with new row maxima method.In the
genuine circumstance, all transportation problems are not single objective. The transportation problem
includes multiple clashing and incommensurable objective functions are called as multi-objective
transportation problem
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27-36
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Mathematical Modeling and Behavior Analysis of a Rice Plant Using RPGT
Amardeep Singh
Abstract:
In this paper we describe a Rice plant which comprises of four subsystems. The Rice
Plant basically comprises of four subsystems specifically Cleaning, Husking, Separation, and
Elevator. Cleaning has two sub-units. At first cleaning dries the crud material (paddy) and places it
into the husker. Husking is utilized to strip off husk from the paddy. Separation isolates rice and
husk. At that point polishing shines the rice for example it strip off bran from the rice. Elevator is
utilized to review the rice for example to isolate the long grain and short grain. Then with the
assistance of whitening black rice are isolated from evaluated rice. A single repairman who
examines and repairs the units as and when need emerge. Availability of rice plant is determined
with the assistance of RPGT and accessibility of the arrangement of rice plant for various values of
repair and failure rates of subsystems is additionally determined. Profit optimization is also
examined. System behavior is discussed with the help of graphs and tables.
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36-44
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Heat Transfer to MHD Flow in an inclined Channel with Heat
Generation/Absorption
Pradip Kumar Gaur
Abstract:
The present paper deals with the motion of an incompressible viscous fluid in an inclined
channel. A Uniform magnetic field is applied normal to the channel, taking heat absorption, heat
generation and viscous dissipation into account. The non-dimensional partial differential
equations are transfer to ordinary differential equations and the perturbation method employed to
solve basic differential equations. The velocity and temperature characteristics have been studied
through graphs
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45-55
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