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Convolution is most computationally intensive task of Convolutional Neural Network(CNN). It demands both computational power and memory storage of processing unit. There are different approaches to compute the solution of convolution. In this paper, matrix multiplication based convolution(ConvMM) approach is implemented and accelerated using concurrent resources of Graphics Processing Unit(GPU). CUDA...
In this paper, implementation of a wearable glove is presented that can be used to assist the visually impaired people. It can help the blind person to avoid hurdles using haptic and voice feedback. It does not only navigate the path to the blind person but also informs about his/her location to others through a message on the mobile device. It can help his/her caretaker (in case he is not near to...
This paper presents the Torque vs. Speed characteristics of induction motor by mathematical modeling using SIMULINK. It has been observed that during the past three decades the use of induction motor has been increased due to its high efficiency and speed control. It plays a very important role in our daily life as well as in industry because of its low maintenance cost, reliable operation, robustness...
In this paper, General Purpose Graphical Processing Unit (GPGPU) based concurrent implementation of handwritten digit classifier is presented. Different styles of handwriting make it difficult to recognize a pattern but using neural network, it is not a difficult task to perform. Different softwares like torch and MATLAB provide the support of multiple training algorithms to train a network. By choosing...
Maximum Power Point Tracking (MPPT) under partial shading condition is the main issue in Photovoltaic (PV) system. This research work is based on a hybrid mechanism for MPPT problem by utilizing two commonly used techniques. The whole algorithm is divided into two stages. Initially it uses Fractional Open Circuit Voltage (FOCV) technique in order to detect Global Maxima (GM) region. Once the GM region...
Industrial and robotic controllers have to execute various complex independent tasks repeatedly in real time. In order to implement these algorithms with non-linear equations, massive computational power is required in a motion control system. In this paper, inverse kinematics algorithm is selected as a test algorithm to compare performance of General Purpose Graphics Processing Unit (GPGPU) with...
Data representation plays an important role in a classifier's accuracy. A given dataset may lead to better results by simply applying a change of basis while keeping the original number of parameters. In this paper, Gabor Filter based image representation has been exploited for object classification. First, Gabor filter based convolution is computed for features extraction, then down-sampling is performed...
In this paper, an accurate implementation of American Sign Language Translator is presented. It is a portable electronic hand glove to be used by any deaf/mute person to communicate effectively with the othesr who don't understand sign language. It provides the visual and audible output on an LCD and through a speaker respectively. This glove consists of five flex sensors that senses the variation...
Language of signs is usually used by the deaf-mute persons in order to convey their message. But, it becomes very difficult for those who have no knowledge of the sign language. The aim of this research work is to resolve this problem using Digital Dactylology Converser (DDC) which is a device that converts a sign language into voice signal and text message. Primarily a hands gesture is recognised...
SCARA (Selective Compliance Assembly Robot Arm) manipulators are among the most extensively used manipulators in industry due to high precision and their inherent rigidity. This research demonstrates mechanical design process of an economical SCARA manipulator with unique and competing industrial specifications using Pro-E software. Inverse kinematic equations are also derived using algebraic and...
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