Search
Now showing items 11-20 of 21
Intelligent vehicle fault diagnosis system using Neural Networks
(Universiti Teknologi Mara, 2007-03-09)
Diagnosis has become a very complex and critical task in determining the condition of vehicle engine. Sound emitted by the engine is always considered to be an annoying noise but a detaiedl analysis of the sound signal ...
Fuzzy based classification of EEG mental tasks for a brain machine interface
(Institute of Electrical and Electronics Engineers (IEEE), 2007-11-28)
Patients with neurodegenerative diseases loose all motor movements including impairment of speech, leaving the patients totally locked-in. One possible option for rehabilitation of such patients is using a brain machine ...
Stereo vision system for a bin picking adept robot
(Universiti Malaya, 2007)
In bin picking applications, robots are required to pick up an object from a pile of stacked or scattered objects placed in a bin. To perform such tasks, identification of the objects to be picked using a vision system is ...
Intelligent Sensor for Reversing Vehicles
(Kementerian Pengajian Tinggi Malaysia (KPTM), 2007-08-10)
The Intelligent Sensor for Reversing Vehicles comprises of a stereo camera (placed on the rear bumper of the car), a processing unit, a display unit and speaker (placed near the dashboard of the car). The cameras are ...
An Intelligent System for Engine Fault Detection
(Malaysian Invention & Design Society (MINDS), 2007-05-18)
Condition monitoring and machinery fault diagnosis are central to the implementation of efficient maintenance management strategies. In real time vehicle servicing environment engine fault diagnosis is being done manually ...
Japanese face emotions classification using lip features
(Institute of Electrical and Electronics Engineering (IEEE), 2007)
In this paper, lip features are applied to classify the human emotion using a set of irregular ellipse fitting equations using Genetic algorithm. As Japanese, is considered in this study. All six universally accepted ...
Identification of vocal and voice disorders
(Universiti Malaysia Perlis (UniMAP), 2007-10-25)
The discrimination of normal and pathological voices using noninvasive acoustic analysis helps to perform accurate identification of voice disorders and diagnoses of vocal and voice disease. Acoustic analysis is a non- ...
Brain machine interface: classification of mental tasks using short-time PCA and recurrent neural networks
(Institute of Electrical and Electronics Engineering (IEEE), 2007-11-25)
Brain machine interface provides a communication channel between the human brain and an external device. Brain interfaces are studied to provide rehabilitation to patients with neurodegenerative diseases; such patients ...
EEG classification using radial basis PSO neural network for brain machine interfaces
(Institute of Electrical and Electronics Engineering (IEEE), 2007-12)
Brain Machine Interfaces use the cognitive abilities of patients with neuromuscular disorders to restore communication and motor functions. At present, only EEG and related methods, which have relatively short time constants, ...
Application of feedforward neural network for the classification of pathological voices
(Universiti Teknologi MARA (UiTM), 2007-03-09)
This paper present the application of feed forward neural network for the classification of pathological voices based on the on the acoustic analysis and EGG features. Acoustic analysis is a non-invasive technique based ...