Search Results - (( developing event optimization algorithm ) OR ( java application based algorithm ))
Search alternatives:
- event optimization »
- application based »
- developing event »
- java application »
-
1
RSA Encryption & Decryption using JAVA
Published 2006“…The implementation of this project will be based on Rapid Application Design Methodology (RAD) and will be more focusing on research and finding, ideas and the implementation of the algorithm, and finally running and testing the algorithm. …”
Get full text
Get full text
Final Year Project -
2
Selection and optimization of peak features for event-related eeg signals classification / Asrul bin Adam
Published 2017“…In the preliminary study, the algorithm is evaluated on the four different peak models of the three EEG signals using the artificial neural network (ANN) with particle swarm optimization (PSO) as learning algorithm. …”
Get full text
Get full text
Get full text
Thesis -
3
A discrete event simulation framework for utility accrual scheduling algorithm in uniprocessor environment
Published 2011“…Approach: The study focused on the proposed and the development of an event based discrete event simulator for the existing General Utility Scheduling (GUS) to facilitate the reuse of the algorithm under a common simulation environment. …”
Get full text
Get full text
Get full text
Article -
4
A discrete event simulation for utility accrual scheduling in uniprocessor environment
Published 2011“…This research has focused on the proposed and the development of an event based discrete event simulator for the existing General Utility Scheduling (GUS) to facilitate the reuse of the algorithm under a common simulation environment. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
5
Direct approach for mining association rules from structured XML data
Published 2012Get full text
Get full text
Thesis -
6
An optimized test case generation technique for enhancing state-sensitivity partitioning
Published 2017“…The essence of enSSP is to combine the features of Genetic Algorithm (GA) with a suite reduction technique to achieve optimization. …”
Get full text
Get full text
Get full text
Thesis -
7
Sequence t-way test generation using the barnacles mating optimizer algorithm
Published 2021“…More precisely, we focus on the generation of test cases due to the ordering of inputs (or sequence) using the newly developed Barnacles Mating Optimizer (BMO) Algorithm. …”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
8
A Micro-Genetic Algorithm Approach for Soft Constraint Satisfaction Problem in University Course Scheduling
Published 2013“…The research contribution of this study is in developing effective and feasible timetabling software using Micro Genetic Algorithm approach in order to minimize the production of an infeasible individual chromosome compared to the existing optimization algorithm for university course timetabling where UNITAR International University have been used as a data sample. …”
Get full text
Get full text
Get full text
Thesis -
9
Comparison of hidden Markov Model and Naïve Bayes algorithms among events in smart home environment
Published 2014“…The subsystems, due to their diversified nature develop difficulties as the events communicate making the smart home uncomfortable. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
10
Application of genetic algorithm and JFugue in an evolutionary music generator
Published 2025“…This project explores the application of Genetic Algorithms (GA) with JFugue, which is a Java-based music programming library to develop an Evolutionary Music Generator. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
11
-
12
A simulated Kalman filter optimizer with white hole operator
Published 2018“…The simulated Kalman filter (SKF) is a population-based optimization algorithm that was developed based on a well-known estimator called Kalman filter. …”
Get full text
Get full text
Get full text
Article -
13
-
14
University class timetable tool
Published 2022“…Example of the algorithms are genetic algorithm, particle swarm optimization, simulated annealing, and some other heuristic approaches. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
15
Real-Time Video Processing Using Native Programming on Android Platform
Published 2012“…However for the Android platform that based on the JAVA language, most of the software algorithm is running on JAVA that consumes more time to be compiled. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
16
Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
Published 2013Get full text
Get full text
Conference or Workshop Item -
17
Real-time algorithmic music composition application.
Published 2022“…This project is about the study of evolutionary music, and focuses on the development of an algorithmic music composer using the Java programming language. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
18
A framework of rough cultural algorithms in optimizing mobile web caching performance
Published 2007“…Consequently, The proposed caching scheme, Rough Cultural Algorithm (RCA) is developed to materialise the caching policies.…”
Get full text
Get full text
Article -
19
Applied Artificial Bee Colony Optimization Algorithm in Fire Evacuation Routing System
Published 2018“…However, the existing fire evacuation routing models using various algorithm such as ant colony optimization or particle swarm optimization can neither properly interpret the delay caused by congestion during evacuation nor determine the best layout of emergency exit guidance signs; thus bee colony optimization is expected to solve the problem. …”
Get full text
Get full text
Article -
20
Proposed algorithm for scheduling in computational grid using backfilling and optimization techniques
Published 2016“…To allocate the suitable resources for the incoming jobs, a scheduling algorithm has to manage this process.In this paper, we provide a critical review the recent mechanisms in “grid computing” environment.In addition, we propose a new scheduling algorithm to minimize the delay for the end user, Gap Filling policy will be applied to improve the performance of the priority algorithm.Then, an optimization algorithm will perform in order to further enhance the initial result for that obtained from backfilling mechanism.The main aim of the proposed scheduling mechanism is to improve the QoS for the end user in a real grid computing environment.…”
Get full text
Get full text
Get full text
Article
