GS: Theses
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Browsing GS: Theses by Subject "Computer and Multimedia Engineering"
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- PublicationA Simulation of 6R Industrial Articulated Robot Arm Using Neural Network(University of the Thai Chamber of Commerce, 2010)
;Manigpan, SupachokeUniversity of the Thai Chamber of Commerce. Graduate SchoolThis paper presents a simulation of a 6 degrees-of-freedom (6R) articulatedrobot arm using back propagation neural network to solve the problem regardinginverse kinematics for the industrial articulated robot. The Denavit – Hartenberg modelis used to analyze the robot arm movement. Next, the forward kinematics is used toidentify the relationships for each joint of the robot arm and to determine variousparameters for learning system of random neural network for 5,000 data points. Thesimulation results show that the robot arm can move to target positions with precision,and the average error for the entire 6 joints is at approximately 4.03 degrees.12 124 - PublicationInvestigation of Chest X-Ray Images Based on Medical Knowledge and Images Processing(University of the Thai Chamber of Commerce, 2010)
;Tonpho, ThanatchaiUniversity of the Thai Chamber of Commerce. Graduate SchoolThe primary checking for our health at hospital needs to include a chest x-ray as routine diagnosis because it effectively illustrates the lung diseases especially tuberculosis or lung cancer which are asymptomatic earlier. It is a convenient and quick process with a low cost in comparison with other studies. This paper presents an analysis and integration of the radiographs of lung from the chest x-ray. The selected images of lungs are depicted by the use of an active contour (e.g. snake algorithm) to find two regions of lungs (left and right). Then, such two regions of lungs are represented for two histograms which are profiles of two lung patterns (left and right) by fix 25 points from the graph histogram. Such two histograms are compared for normal and abnormal lungs to demonstrate the difference of both lung radiographs. If two histograms are not very different, then the result is a normal case. However, if they are very different, then it is an abnormal case. For the experimental result, the overall accuracy is at approximately 100% which there are 60 samples of patients for testing their lung images.9 1303