Search Results - (( java implementation path algorithm ) OR ( changes activation control algorithm ))
Search alternatives:
- java implementation »
- implementation path »
- activation control »
- path algorithm »
-
1
Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer
Published 2017“…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. …”
Get full text
Get full text
Thesis -
2
Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…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. …”
Get full text
Get full text
Thesis -
3
Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment
Published 2021“…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. …”
Get full text
Get full text
Get full text
Get full text
Article -
4
Smart appointment organizer for mobile application / Mohd Syafiq Adam
Published 2009“…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. …”
Get full text
Get full text
Thesis -
5
Effects of control techniques and damper constraint on the performance of a semi-active magnetorheological damper
Published 2005“…Semi-active dampers change their damping force in real time by simply changing the damping coefficient according to a control policy. …”
Get full text
Get full text
Article -
6
Detection of muscle activities in the sEMG signal by using frequency features and adaptive decision threshold
Published 2020“…In this paper, an amplitude-independent algorithm had been developed with an adaptive decision threshold; the algorithm employed only frequency features of the sEMG signal to detect muscle activities. …”
Get full text
Get full text
Get full text
Article -
7
Amplitude independent versus amplitude dependent muscle activity detection algorithms: a comparative study
Published 2020“…Moreover, the sEMG signal amplitude is not constant during the recording time due to the variation in the characteristics of the electrode-skin interface and due to the changes in the ground reference level. Therefore, the performance of the muscle activity detection algorithms should not be affected by the involuntary amplitude variations of the sEMG signal in order to achieve reliable control of robotic devices intended for disabled people.To accentuate the importance of the amplitude independent muscle activity detection methods over the amplitude dependent detection methods, a comparative study has been conducted in this paper between the performance of an amplitude independent muscle activity detection algorithm (FLA-MSE algorithm) and three amplitude dependent algorithms with respect to the detection capability of weak muscle activities and with respect to the immunity against false alarms. …”
Get full text
Get full text
Get full text
Article -
8
Development of a new robust hybrid automata algorithm based on surface electromyography (SEMG) signal for instrumented wheelchair control
Published 2020“…This method would be a control method to activate power assist system and selected based on conditions set in the algorithm. …”
Get full text
Get full text
Thesis -
9
Detection of muscle activities in the sEMG signal by using frequency features and adaptive decision threshold
Published 2020“…In this paper, an amplitude-independent algorithm had been developed with an adaptive decision threshold; the algorithm employed only frequency features of the sEMG signal to detect muscle activities. …”
Get full text
Get full text
Get full text
Article -
10
Enhanced Instantaneous Power Theory with average algorithm for indirect current controlled three-level inverter-based shunt active power filter under dynamic state conditions
Published 2016“…An enhanced harmonics extraction algorithm based on Instantaneous Power (PQ) Theory is proposed for indirect current controlled (ICC) three-level neutral point diode clamped (NPC) inverter-based shunt active power filter (SAPF). …”
Get full text
Get full text
Get full text
Article -
11
Photovoltaic shunt active power filter based on indirect self-charging with step size error cancellation and simplified adaptive linear neuron
Published 2017“…In methodology, topology of PV SAPF was designed first, and followed by all control algorithms with special attention to both proposed algorithms. …”
Get full text
Get full text
Thesis -
12
A hybrid intelligent active force controller for robot arms using evolutionary neural networks
Published 2000“…In this paper, we propose a hybrid intelligent parameter estimator for the active force control (AFC) scheme which utilizes evolutionary computation (EC) and artificial neural networks (ANN) to control a rigid robot arm. …”
Get full text
Get full text
Article -
13
Time-variant online auto-tuned pi controller using pso algorithm for high accuracy dual active bridge dc-dc converter
Published 2022“…This paper proposes a time-variant online auto-tuned PI controller using a particle swarm optimization (PSO) algorithm for the 200 kW DAB system. …”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
14
Control of a robot arm using iterative learning algorithm with a stopping criterion
Published 2002“…The study introduces the Active Force Control and Iterative Learning Algorithm (AFCAIL) scheme with an improved feature in the form of a suitably designed stopping criterion incorporated in the control strategy. …”
Get full text
Get full text
Get full text
Article -
15
Hybrid intelligent active force controller for robot arms using evolutionary neural networks
Published 2000“…In this paper, we propose a hybrid intelligent parameter estimator for the active force control (AFC) scheme which utilizes evolutionary computation (EC) and artificial neural networks (ANN) to control a rigid robot arm. …”
Get full text
Get full text
Article -
16
Dynamic control and performance of dual active bridge converter based particle swarm optimization
Published 2022“…This paper presents analysis of the dynamic response of the isolated bidirectional dual active bridge (DAB) DC-DC converter using particle swarm optimization (PSO) algorithm. …”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
17
Time-Variant online Auto-Tuned PI controller using PSO algorithm for high accuracy dual active bridge DC-DC converter
Published 2022“…This paper proposes a time-variant online auto-tuned PI controller using a particle swarm optimization (PSO) algorithm for the 200 kW DAB system. …”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
18
Yaw stability improvement for four-wheel active steering vehicle using sliding mode control
Published 2012“…By combining active front steering and active rear steering control, the vehicle’s handling and stability can be improved via four wheel active steering (4WAS) control. …”
Get full text
Get full text
Conference or Workshop Item -
19
Unified neural network controller of series active power filter for power quality problems mitigation
Published 2013“…This thesis presents the design, development and analysis of series active power filter (APF) with a novel control technique. …”
Get full text
Get full text
Thesis -
20
