Exam seat allocation is
one of the major concerns in quality education. With the increasing number of students,
subjects, departments and rooms, exam seat management becomes complex.
Maintaining a decent exam environment with the proper seating arrangement is
one of the difficult jobs for authority. This research offers solution for exam
seating arrangement problems that can be achieved through the sequential
execution of three proposed algorithms. This research offers a solution for
preventing some exam hall cheating by arranging seats for large students and it
also finds out the best combination of rooms to be assigned for the exam to
organize perfect seating based on the room orientation and size, number of
students, differentiation of subjects. To do this research, we have collected
data and methods from a university those are being used for their exam seating
arrangement. By using university exam information we test our algorithms. It
provides better seating plan then the manual system used by the university.
METHODOLOGY
A.System Description
In this research, we
are going to offer a model and some algorithm to solve exam seating problem.
Our proposed system is applicable for I shape seat allocation system. The
system needs two types of data as input, Room information and Exam information.
The total number of students must have to be less than or equal to the total
seats. For offering an optimum seating solution we followed some steps. These
steps will be followed for each slot of examination.
Step 1: Two types of
data sets are needed for exam seating, one is room information having room id,
size of columns and rows; another is exam information with subject id and
number of students. By processing room and exam information it will calculate
total number of seats and students. Finally it will calculate the number of
extra seats available after seating.
Step 2: When the amount
of extra seats is greater than any room capacity, then it may possible of
having one or more extra room. In this step it will search those rooms, which
will be kept empty at the time of exam.
Step 3: Our main
concept is to distribute column to the subject so at first it needs to
calculate the number of columns and the capacity or number of rows for each
column. To prevent copying from other it tries to ensure at least one column
distance among students having same query set. That is why it will also
calculate maximum usable column and its capacity for any subject.
Step 4: Then it will
allot columns to the subjects. By using a combination of column size (row) we
can ascertain the set of columns which will be assigned to subjects. After that
it will provide a set of columns for each subject. In best case extra seats are
not required, but in worst case it may require to assign some extra seats to
subject for getting a set of column for exam seating.
Step 5: We have subject
having different column size and number. We have also room identity which is
represented by column number and row number as column size. So the common
attribute is column size. By using this it assigns room and column number to
the subject by maintaining one column distance between the columns having the
same subject. After completing the column and room distribution it will provide
a complete seating solution for the exam.
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