Tuesday, March 10, 2020

Algorithm For Efficient Seating Plan For Exam System




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.

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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.

Monday, January 13, 2020

Food Wastage Management System

Food Wastage Management System

Code shoppy Android Projects 2019 2020
Location is a significant factor leads to the success of a restaurant operation and management. This paper utilizes the fuzzy preference relations to select a restaurant location. Pairwise comparisons are conducted to obtain the importance weights of evaluation criteria and the performance rating of alternative locations. By multiplying the importance weights of evaluation criteria and the performance rating, a performance value is determined to rank the alternative locations. Compared with the AHP, the major contributions of this proposed framework are: 1) it just takes 1n comparisons rather than 2)1(nn comparisons to obtain a complete decision matrix which has nelements; 2) the inconsistency is not occurred in this process because of additive reciprocity transitivity.

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Thursday, January 2, 2020

THE DEMAND ANALYSIS OF SPORTS EVENTS ORGANIZATION

THE DEMAND ANALYSIS OF SPORTS EVENTS ORGANIZATION



Code shoppy


The modern Large-scale Sport Events organization and management is a complex system engineering, in the process of Large-scale Sport Events organization and management will produce a large amount of information data, if the information is not timely and accurate collection, it may result in a waste of resources and organizational confusion and other bad results to the organization and management of Large-scale Sport Events. In order to improve the efficiency of organization and management of Large-scale Sport Events, this research constructs a Large-scale Sport Event organization and management information system based on process aware technology, realize the goal that Large-scale Sport Events organization and management process information timely, comprehensive and accurate collection, analysis and processing, in order to help the running and management of modern large-scale sports events efficiently. 

In the promotion of modern major sports events organization and management in the process of digitalization of sports events organization and management information collection and analysis system is an essential component, it is mainly responsible for the collection of sports development process of human, material and financial resources, multi-source information such as real-time, comprehensive and accurate acquisition, and data collection and processing and to provide data support for the major sports events organization and management to other modules. Through analyzing the characteristics and the modern major sports events organization and management of the status quo and business process, this study analyzed the process of perception of major sports events organization and management information collection and processing functions based on demand. 




A.Real time collection sporting event organization and management process of information, information is reliable, complete The organization and management process of modern sports complex environment, in order to comprehensive and accurate information acquisition sporting event organization and management process, need to use the information acquisition terminal is different, such as equipment acquisition terminal, RFID, tablet PC, smart phones, two-dimensional code, PC etc.. And the need for acquisition system, the organization and management of sports events, the dynamic real-time data provided to the sports events organization and management information system. In addition, dynamic monitoring on each specific operation Department of sports personnel, equipment, materials and  other resources, and strengthen the operation of data records management, improve the traceability data.

B.The information processing capability, organization management process visualization The modern major sports events organization and management is a complex systematic project, involving management including human resource management, financial management, competition management, logistics management, operation management of multiple management system, in the whole process of organization and management, Will produce large amounts of information implementation process, this information was massive, must be classified into screening, statistics and analysis of these information processing, as the sports events organization and management of each function module of the information system of statistical data analysis and management operation. Code Shoppy In addition, in order to direct and convenient information feedback, need a graph of these pooled data representation, and display in the user interface, realize the sports events organization and management process monitoring visualization, real-time control. 

C.Adapt to the digital sports events demand Put forward higher requirements for information collection and application information system management of sports events to the event organization and management process, the need to strengthen the sports events organization and process information acquisition and processing accuracy, integrity and timeliness, to meet the development needs of digital sports.