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The following topics are dealt with: vehicle detection; discrete time queueing system; CBMLAD; linear programming model; surface water quality assessment; fuzzy subgroups; computer aided optimum design; aerodynamic modeling; fuzzy logic controller; adaptive neural network; trajectory planning; nurbs model; XML data safety; sparse signal estimation; condition monitoring information model; ECG extraction;...
The following topics are dealt with: exponential change-points model; Fourier transform; forecasting sunspot numbers; distributed temperature measurements; software development; adaptive observer based tracking control; FPGA bases analysis; maximum power point tracking based optimal control; visual indicator component software; dye-sensitized solar cell; feedback delay effect; thresholding algorithm;...
Image segmentation is one of the mostly used procedures in the medical image processing applications. Due to the high resolution characteristic of the medical images and a large amount of computational load in mathematical methods, medical image segmentation process has an excessive computation complexity. Recently, Field Programmable Gate Array (FPGA) implementation capable of performing many complex...
The following topics are dealt with: vehicle-to-vehicle communication system; an architecture of optimised SIFT feature detection for an FPGA implementation of an image matcher; FPGA architectures; FPGA-based computing; reconfigurable architectures; high level language hardware synthesis; parallel spiking neural network simulator; least-squares Monte Carlo method; dynamic programming; and hardware-accelerated...
An accurate method for feature extraction based on FPGA (Field Programmable Gate Arrays) implementation is proposed in this paper. The specific application is offline Farsi handwritten digit recognition. The classification is based on a simple two layer MLP (Multi Layer Perceptron). This method of feature extraction is appropriate for FPGA implementation as it can be implemented only with add and...
A dynamically reconfigurable hardware model for convolutional neural network (CNN) is presented. The modular prototyping system is based on XILINX FPGAs and is capable of emulating hardware implementations of CNN for the task of face recognition. The system is capable of emulating the complex structure of CNN with exploitation of a small chip area by using the property of reconfiguration. A speedup...
Face detection is the cornerstone of a wide range of applications such as video surveillance, robotic vision and biometric authentication. One of the biggest challenges in face detection based applications is the speed at which faces can be accurately detected. In this paper, we present a novel SoC (System on Chip) architecture for ultra fast face detection in video or other image rich content. Our...
FECG (Fetal ECG) signal contains potentially precise information that could assist clinicians in making more appropriate and timely decisions during pregnancy and labour. The extraction and detection of the FECG signal from composite abdominal signals with powerful and advance methodologies is becoming a very important requirement in fetal monitoring. The purpose of this paper is to model the developed...
This paper proposes a novel human interface that can be used to operate domestic appliances and game machines. In this system, finger tapping movement is measured by magnetic sensors, and is evaluated by computing five features, such as the finger tapping interval, on a real-time basis. These factors are then discriminated through a probabilistic neural network and allocated as machine operation commands...
This paper presents a 3-tier framework for hardware implementation of dynamic face tracking system (DFTS) based on Gabor wavelets. The proposed system is composed of three major modules: Face detection unit, Gabor decomposition & Similarity computation unit and Face-lock refinement unit. First, we present a neural network based face detection that is used for face localization in cluttered environments...
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