Search Results - (( motion destination image algorithm ) OR ( spider optimization system algorithm ))

Social Spider Optimization On Pid Controller by Yaacob, Noor Diyana

“…Among them, Social Spider Optimization (SSO) was chosen for this research. …”
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Spider wasp optimizer-optimized cascaded fractional-order controller for load frequency control in a photovoltaic-integrated two-area system by Ekinci, Serdar, Izci, Davut, Turkeri, Cebrail, Mohd Ashraf, Ahmad

“…The results are compared against other advanced optimization algorithms, each applied to the FOPI(1+PDN) controller. …”
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Motion detection and simulation study on human walking behavior by Loon, Cheong Wai

“…The objective of this project is to analyse the human walking behaviour from video data, and develop an algorithm for human walking behaviour and emergency evacuation simulatioy The motion detection system were developed using Video and Image Processing Blockset in MAT LAB to collect the centroid coordinate of the pedestrians from the video to analyse the human walking behaviour. …”
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Efficient Object Isolation In Complex Environment Using Manipulation Primitive On A Vision Based Mobile 6DOF Robotic Arm by Mohd Annuar, Khalil Azha, Fahmi, Muhammad, Quah, Jit Shen

“…This paper explores the idea of manipulation aided- perception in the context of isolating an object of interest from other small objects of varying degree of clusterization in order to obtain high quality training images.The robot utilizes a novel algorithm to plot out the position for each noise objects and its destined position as well as its trajectory and then utilizes manipulation primitives (pushing motion) to move said object along the planned trajectory.The method was demonstrated using Vrep simulation software which simulated a Kuka YouBot fitted with a camera on the gripper.We evaluated our approach by simulating the robot manipulators in an experiment which successfully isolate the object of interest from noise objects with at a rate of 77.46% at an average of 0.56 manipulations per object compared to others at 1.76 manipulations subsequently speeding up the time taken for manipulation from 12.58 minutes to 2.6 minutes however suffers from a tradeoff in terms of accuracy when comparing the similar works to our proposed method.…”
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