illisha/Frame-Based-System-FBS-Prolog-for-University

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2
Language
Prolog
Created almost 5 years ago
Updated almost 5 years ago

illisha/Frame-Based-System-FBS-Prolog-for-University

illisha

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Prototype of a Frame Based System (FBS) for a University.

Fuzzy-Logic-Inferencing

Implementation of FIS (Fuzzy Inference System) using MATLAB fuzzy logic toolbox to evaluate the performance of a student based on academics, co-curricular activities and sports. Overall performance of the student is found out.

Quizz

Quiz app. Uses Firebase.

Tic-Tac-Toe

2-D tic tac toe

Text-Editor

A text editing tool that has a good number of well working features

MedicineReminder

This application reminds the user to take medicines based on the schedule that has been provided.

Sudoku-Solver-Using-Constraint-Satisfaction-Programming

A set of constraints is created for the Sudoku puzzle. The ConstraintProgram class is responsible for providing these. Each variable has basically 4 constraints associated with it: Constraint 1: position/location: Each cell maybe taken up by ONLY 1 value. Constraint 2: row: Each number from 1 to 9 can only be present once in a row. Constraint 3: column: Each number from 1 to 9 can only be present once in a column. Constraint 4: region: Each region (a smaller grid of size 3x3) can contain a number from 1 to 9 at most once.

CPU-Scheduling-Java

CPU scheduling is a process which allows one process to use the CPU while the execution of another process is on hold(in waiting state) due to unavailability of any resource like I/O etc, thereby making full use of CPU. The aim of CPU scheduling is to make the system efficient, fast and fair.

Filters

An application that edits an image using any one of the four filters: Brightness, Contrast, Vignette and Saturation.

Cache-Mispattern-and-Misprediction-Analysis

This paper analyses cache miss pattern behaviour and its prediction using a few algorithms; presents a simulation of cache miss rate for set associative caches on diﬀerent workloads; gives an introduction of a visualisation tool that shows a three-dimensional plot of cache miss rates and then ﬁnally concludes by giving various uses of cache miss rate prediction

Disk-Scheduling

Implementing-YOLO

YOLO is an extremely fast real time multi object detection algorithm. YOLO stands for “You Only Look Once”. The algorithm applies a neural network to an entire image. The network divides the image into an S x S grid and comes up with bounding boxes, which are boxes drawn around images and predicted probabilities for each of these regions. The method used to come up with these probabilities is logistic regression. The bounding boxes are weighted by the associated probabilities. For class prediction, independent logistic classifiers are used.