Search Results - (( java implementation path algorithm ) OR ( programming ability effectiveness algorithm ))

Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer by Ahmad Nezer, Nurul Aqilah

“…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

“…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment by Shaliza Hayati A. Wahab, Nordin Saad, Azali Saudi, Ali Chekima

“…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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Smart appointment organizer for mobile application / Mohd Syafiq Adam by Adam, Mohd Syafiq

“…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
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CSC126 - Fundamentals of Algorithms and Computer Problem Solving / Faculty of Computer And Mathematical Sciences by UiTM, Faculty of Computer And Mathematical Sciences

“…Students will be assessed through written assessments as well as programing assignments. In the end they are expected to develop the ability to analyze simple problems, organize effective algorithmic solutions for the problems and write computer programs to solve them.…”
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Novel techniques for voltage stability assessment and improvement in power system / Ismail Musirin. by Musirin, Ismail

“…The results obtained from the voltage stability analysis using FVSI were utilized to predict system violation, identify most sensitive line corresponds to a load bus and estimate the maximum load ability and operating margin in the system. A new Evolutionary programming (EP) based acceleration search algorithm was developed to accelerate the process in estimating maximum load ability in a power system. …”
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An artificial bee colony-based double layered neural network approach for solving quadratic Bi-level programming problems by Watada, J., Roy, A., Wang, B., Tan, S.C., Xu, B.

“…In the current work, we devised a hybrid method involving a Double-Layer Neural Network (DLNN) for solving a quadratic Bi-Level Programming Problem (BLPP). For an efficient and effective solution of such problems, the proposed potential methodology includes an improved Artificial Bee Colony (ABC) algorithm, a Hopfield Network (HN), and a Boltzmann Machine (BM). …”
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Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

“…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
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The child tracker using location awareness / Muhammad Idham Amdan by Amdan, Muhammad Idham

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Enhancing obfuscation technique for protecting source code against software reverse engineering by Mahfoudh, Asma

“…The obvious amount of lost money of victims has led to many court cases where victim and theft claims the ownership of the program and the winner is who has a good lawyer. Many programming languages are used for programming; Java programming language is known to be most common due to its features, the use of this popular language increases an attacker's ability to steal intellectual property (IP), as the source program is translated to an intermediate format retaining most of the information such as meaningful variables names present in source code. …”
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Enhancing programming language learning with 3D game-based programming for MSU students: codadventure / Abdullah Adib Aditia Wirawan and Nur Suhana Mohd Redzo by Aditia Wirawan, Abdullah Adib, Mohd Redzo, Nur Suhana

“…Utilizing data analysis and student feedback allows for significant insights into the effects of the 3D game-based method on the adoption of programming languages. …”
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Speed control of separately excited dc motor using artificial intelligent approach by Bernard, Albinus

“…The effectiveness of the proposed method is verified by develop simulation model in MATLAB-Simulink program. …”
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Effects of Authentication of Users in Mobile Internet Protocol Version 6 by Obenofunde, Simon Tabi

“…Various network topologies are simulated in order to investigate the effects of implementing this program on a network for various network performance parameters. …”
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Small signal oscillatory instability control of power system using posicast controller and evolutionary programming by Mirfendereski, Shojaeddin

“…Two methods of optimization which are Evolutionary Programming (EP) and Genetic Algorithm (GA) were used to find the best value of the K and their comparative study were analyzed. …”
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Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad by Ahmad, Khairul Adilah

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Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems by Uvaraja, Vikneswary

“…Therefore, MTS is developed from TS with some additional features such as systematic neighbourhood evaluation procedure to reach the near optimal solutions quickly. The ability of MTS approach to exploit and explore the solution space effectively with adaptive memory property makes it more suitable to be used in UTSP. …”
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Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process by Ali Al-Assadi, Hayder M. A.

“…The Machine Learning Method is utilized for this task, which gives the computer the ability to learn. Artificial Neural Network (ANN) was selected from Machine Learning Algorithms to be the learning algorithm. …”
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I-ROOMBA by MOHAMED RASELI, MOHD AZWAN

“…The needs to find the correct algorithm to cover whole surface is very important. …”
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Null steering of adaptive beamforming using linear constraint minimum variance assisted by particle swarm optimization, dynamic mutated artificial immune system, and gravitational... by Darzi S., Sieh Kiong T., Tariqul Islam M., Ismail M., Kibria S., Salem B.

“…The algorithms were implemented using Matlab program. © 2014 Soodabeh Darzi et al.…”

Elitist hybrid migrating birds optimization and genetic algorithm based strategy for T-way test suite generation by Hasneeza Liza, Zakaria

“…Addressing the aforementioned issues, this research proposes the development and implementation of hybrid t-way strategy based Migrating Birds Optimization Algorithm (MBO) and Genetic Algorithm (GA) with elitism, termed Elitist Hybrid MBO-GA. …”
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