Search Results - (( developing back path algorithm ) OR ( java optimization sensor algorithm ))
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Design and development of optimal path trace back using graph theory technique for accelerate DNA sequence alignment accelerator: article
Published 2010“…The Smith-Waterman is been simplified into four modules which were initialization, score calculation, matrix filling and optimal path. The scope of the paper based on optimal path trace back using graph theory. …”
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2
Design and development of optimal path trace back using graph theory technique for accelerate DNA sequence alignment accelerator
Published 2010“…The Smith-Waterman is been simplified into four modules which were initialization, score calculation, matrix filling and optimal path. The scope of the paper based on optimal path trace back using graph theory. …”
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Student Project -
3
Optimizing optimal path trace back for Smith-Waterman algorithm using structural modelling technique
Published 2012“…The optimizing of optimal path trace back system for Smith-Waterman algorithm using structural modelling techniques are presented in this paper. …”
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Hybrid optimal path traceback system development for optimization DNA sequences alignment
Published 2012“…This paper present the new hybrid optimal path trace back system development for solving optimal path trace back complexity issue. …”
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Hybrid optimal path traceback system development for optimizing DNA sequences alignment: article
Published 2012“…This paper present the new hybrid optimal path trace back system development for solving optimal path trace back complexity issue. …”
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Design and analysis multiple paths trace back and reconstruction module for DNA sequence alignment accelerator using ASIC design flow: article / Nurul Ain Husaini
Published 2010“…The first objective is to construct the trace back and reconstruction module of the S-W algorithm with the multiple blocks and the functionality for each block. …”
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7
Design and analysis multiple paths trace back and reconstruction module for DNA sequence alignment accelerator using ASIC design flow / Nurul Ain Husaini
Published 2010“…The first objective is to construct the trace back and reconstruction module of the S-W algorithm with the multiple blocks and the functionality for each block. …”
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Student Project -
8
Optimisation of Environmental Risk Assessment Architecture using Artificial Intelligence Techniques
Published 2024“…Fuzzy arithmetic operations on fuzzy numbers and artificial neural networks with a back-propagation learning algorithm were used to represent the structure of the neuro-fuzzy risk assessment model, whereas genetic algorithms were used to develop the safe path selection model. …”
thesis::doctoral thesis -
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Motion Control Algorithm for Path Following and Trajectory Tracking for Unmanned Surface Vehicle: A Review Paper
Published 2021“…A capability of tracking and follows the target object on the water surface is an essential measurement in the control system for a Unmanned Surface Vehicle (USV). Path following algorithm usually used to describe the target, compute in the controller and minimize as well as to zero the distance between USV; and the angle between the vessel speed and the tangent to the path. …”
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Improved Dynamic Ant Colony System (DACS) on Symmetric Traveling Salesman Problem (TSP).
Published 2007“…Ants are a fascinating creature that demonstrates a capability of finding food and bring it back to their nest. Their ability as a colony to find paths or routes to the food sources has inspired the development of an algorithm namely Ant Colony System (ACS). …”
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Reducing Iteration Using Candidate List
Published 2008“…The principle of cooperation and the behavior of a single ant finding path has been the backbone in this algorithmic development. …”
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Development of low power viterbi decoder on complex programmable logic device platform
Published 2018“…After the computation completes, the traceback unit will go back to the previous memory path to read and decode the minimum path metrics that have been stored by ACS unit. …”
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14
SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing
Published 2019“…Wireless sensor networks operate through commonly self-organized sensor nodes to transfer data in a multi-hop approach to a central sink. …”
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Thesis -
15
Energy efficient path reconstruction in wireless sensor network using iPath
Published 2019“…Wireless sensor networks operate through commonly self-organized sensor nodes to transfer data in a multi-hop approach to a central sink. …”
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Article -
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Finding the shortest route using Dijkstra’s algorithm with application to ride hailing in UiTM Cawangan Negeri Sembilan Kampus Seremban / Nur Husnina Hassan, Nurin Hadrah Syahira M...
Published 2022“…The Dijkstra's Algorithm is expected to be able to complete the study for the shortest path with a minimum of time. …”
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Student Project -
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DACS3:Embedding Individual Ant Behavior in Ant Colony System
Published 2008“…Ants are fascinating creatures that demonstrate the ability to find food and bring it back to their nest. Their ability as a colony, to find paths to food sources has inspired the development of algorithms known as Ant Colony Systems (ACS). …”
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Conference or Workshop Item -
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DACS3: Embedding Malaysian Individual Ant Behavior in Ant Colony System
Published 2009“…Ants are fascinating creatures that demonstrate the ability to find food and bring it back to their nest. Their ability as a colony, to find paths to food sources has inspired the development of algorithms known as Ant Colony Systems (ACS). …”
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Citation Index Journal -
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Time-Uncertainty Analysis by Using Simulation in Project Scheduling Networks
Published 1999“…The merge event bias as one of the essential problems associated with PERT is discussed, along with models and approaches developed by other researchers, namely, Probabilistic Network Evaluation Technique (PNET algorithm), Modified PNET, Back-Forward Uncertainly Estimation procedure (BFUE) and concept based on the robust reliability idea. …”
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Thesis -
20
Visdom: Smart guide robot for visually impaired people
Published 2025“…Key features include the SMAC Hybrid A* algorithm for global path planning, the Regulated Pure Pursuit Controller for local trajectory execution and dynamic obstacle avoidance, and gmapping for SLAM functionality. …”
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Final Year Project / Dissertation / Thesis
