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This paper presents a vehicle license plate recognition method using deep convolutional neural networks. The focus of this paper is placed on the recognition of segmented characters of vehicle license. The deep convolutional neural network is able to distinguish numbers (0 to 9), alphabets (A to Z) and background image from one another. We show that the neural networks trained on computer fonts and...
The use of local facial features is frequently adopted in many Nearest Neighbours (NN) approaches in face classification. These collections features are then individually classified against labelled features resembling an ensembles of simpler learners to improve prediction. In this paper, a new variant of ensembles of NN is proposed for classification of local features, namely ensembles of Large Margin...
Detection of autism in the beginning of infant life is very important to increase child treatment outcomes. There are many signs that help to diagnosis autism based on observation of great difficulty in communicating, delayed speech, and difficulty in forming relationships with other people. Attempts to discover other early symptoms and signs do not stop and tried to reach the early detection of autism...
Automated Number Plate Recognition is a technique involving image processing which is used to identify a vehicle by reading its number plate. A proposed method is capable of extracting the number plate region in the image captured from its rear end at various car distances. The system analyzes the input image and identifies the location of the number plate. The plate candidate region is extracted...
Multi-tasking in actions help humans produce actions that satisfy the need of multiple purposes. Even though humans may apply multi-tasking when producing actions, a control device mainly produces a control action that can only satisfies a single task. In this research, a method of Learning Control that utilizes compound function in developing and applying multiple control knowledge (state-action...
Modern robot researches focus on disaster response to carry out several missions by a robot itself. Robot software should handle a large number of calculation under real-time constraints. And also, the software design should be complex to process a lot of sensors, which increases a number of factors to consider for the system performance. In this paper, we present the software architecture design...
This paper discusses the dynamic behavior and stability of the marionette style elastic tendon driven robot arm. The purpose of this study is to develop a low-cost and customizable robotic mechanism and its controller suitable to perform tasks involving interactions with the environment. Winding devices for the tendons are located at the remote base, and the tendons are directly connected to the arm...
This paper presents a linear time invariant model identification for beetle mimicking flapping wing micro air vehicle (FWMAV) in hovering mode. The identification is facilitated by assuming the wings of the beetle rectangular in shape and the body is considered cylindrical. The main thrust is provided by flapping the wings of the FWMAV whereas the trailing-edges-change mechanism was kept off. The...
Depression is a serious mental health challenge. If left untreated, it could lead to other critical symptoms, even suicide. In Malaysia, the prevalence is estimated between 8–10% of the population but it is often under-recognized and undertreated. This study is the first one in Malaysia to propose an animal robot to provide mental support to patients with depression. The main objective of this paper...
EEG signal is one of the biological signals that can be useful to control wearable robotic devices, according to the human motion intention. However, the real-time estimation of the user's motion intention from EEG signals is cumbersome. The user's motion intention might not be estimated when the user does not concentrate on the control of the robot, distracted by other things or disturbed by the...
A high-speed and accurate hand pose estimation is needed so as to generate input commands to a humanoid robot for the operation by a human operator or user with his/her everyday gestures. In a 2D-appearance-based approach, the larger the scale of reference database is, the better for the hand pose estimation with high accuracy. But individual differences in human hand shape vary by gender, age, and...
This study presents a kinematic and dynamic analysis of human normal walking in order to establish a mathematical model for the control system of a lower-limb exoskeleton for gait rehabilitation. Based on the number of supported legs, the model analysis was divided into two: a serial approach for one supported leg and a parallel approach for two supported legs. The full model consists on a 7-link...
This paper deals with a virtual prototype of spatial redundantly constraint cable-driven parallel robot (CDPR) using object-oriented modeling approach. The main physical components of CDPR such as platform, winches, pulleys and cables are mathematically and object-orientedly modeled in Dymola. The parameters used are based on the SEGESTA prototype which is a spatial type CDPR developed for industrial...
The snap assembly of two small parts in a semi-structured environment is considered. This work proposes a task-based variable impedance solution strategy that allows one arm/hand robotic system to extract assembly haptic cues via pHRI and subsequently achieve autonomously the desired objective with extrinsic dexterity. A wavelet pattern is extracted from the estimated force derivatives during a cooperative...
A removal machining robot was already developed for foamed polystyrene materials. The proposed robotic CAM system provided an interface without using any robot languages between operators and the machining robot, so that a teaching-less operation could be realized. In this paper, a preprocessor with a depth sensor for converting stereolithography data (STL data) into cutter location source data (CLS...
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