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In cognitive radio technology, constant changes in the environment like change in background noise, movements of the users or transmitters, interferences, etc. require the spectrum sensing parameters like detection threshold to be changed. Else, errors in spectrum sensing arises which either causes interference between transmission from primary and secondary users, or the secondary user misses an...
The goal of this work is to propose an effective and efficient visual surveillance system for detection, geolocalization, and data association of moving human crowds using teams of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) in a border patrol application. Such complex system suffers from various emerging challenges such as: heterogeneous dynamic data, non-rigid target shapes,...
The most commonly used clinical tool for initial diagnosis of epilepsy is electroencephalogram (EEG). Recent advances in magnetoencephalography (MEG) technology provide a new source of information to analyze brain activities. In order to determine whether or not particular subjects' brain signals exhibit epileptic activities, epileptologists often spend considerable amount of time to review MEG recordings...
Human Activity Recognition (HAR) is a powerful tool for understanding human behaviour. Pervasive sensors, such as wearable devices, have an increasing market penetration and generate a tremendous amount of data. The myriad of available clinical and consumer-grade wearables generate a continuous time series of a person's daily physical exertion and rest. Applying HAR to the activity time series can...
Music score scanning recognition system, to identify musical notes through hand-held device by scanning five-line staff. Most of the music score scanning equipment equips with linear sensors, acquires the binary image according to the intensity of reflection of light with the irradiation of the front LED. However, because of the influence of illumination and differential rotation of this method, the...
In this paper we describe an environmental system that has been developed to provide monitoring of pollutants. Unlike other work in the literature this system allows the collection and location-pinning of data to be carried out indoors as well as outdoors. The mixed indoor and outdoor data collected from different users can be classified into individual category using K-Means algorithm for further...
Energy efficiency has become a main challenge in Wireless Sensor Networks (WSNs) and their applications. Localization is one of the indispensable stages in WSN. Localization generally refers to the process of locating the position of one or more node(s) in a network. This paper develops and evaluates an improved energy aware localization algorithm in WSNs. Clustering techniques have been intensively...
Wireless body sensor networks (WBSN), elected as a promising infrastructure for mobile health (m-health) applications and e-healthcare, are facing many challenges related to their powering and processing capabilities. In depth, the available hardware resources and energy embedded on these tiny body sensors, to record and transmit continuous streams of unprocessed biosignals, are limited and cannot...
Compressive Sensing (CS) techniques have emerged with the increasing demand of high data rate transmissions. Recently, block sparse Bayesian learning (BSBL) framework was introduced which has a superior performance over conventional CS methods. In this paper, the BSBL-Expectation Maximization (BSBL-EM) and BSBL-Bound Optimization (BSBL-BO) methods were deployed. The performance, mainly quality and...
Placement of sensors and actuators in a linear network model is pursued, with the aim of achieving desirable invariant-zero characteristics for input-output channels (primarily, minimum phase dynamics). Graph-theoretic analyses of the network model's invariant zeros and phase-response properties are undertaken, and used to develop simple insights into and algorithms for sensor and actuator placement.
In recent years, E-commerce had made a tremendous impact on the world. However before the emergence of E-commerce, individuals can't skim the information about the products within short time of the period, so therefore recommendation system was introduced. The principle point of the recommendation system is to prescribe the most appropriate items to the user. Many of the recommendation systems mainly...
Real-time detection of gait events play a vital role in movement dependent control applications such as rehabilitation for lower limb amputations. It also helps in determination of spatio-temporal and kinematic parameters. Gyroscopes, inertial sensors, magnetometers and foot sensors are popular in the detection of gait events. They need to be mounted carefully, or foot should be placed specifically...
The wideband spectrum sensing is vulnerable to interferers and blockers due to inter-modulation distortion (IMD) that arises in nonlinear front-end. Traditional DSP-enhanced receivers use least mean squares (LMS) filters to mitigate IMD. We theoretically study the performance of LMS-based algorithm and give expression of its residual distortion power. We then propose a novel compensation algorithm...
Recently developed super-resolution algorithms have demonstrated performance approaching fundamental estimation-theoretic bounds. These algorithms have significant potential for applications such as vehicular situational awareness using low-cost, short-range millimeter wave radar sensors. In this paper, we show that such algorithms can approach single-sensor estimation-theoretic bounds for range and...
In recent years, Unmanned Air Vehicles (UAV) are gaining popularity among hobbyist, university-level researchers and military agencies. This paper presents the enhancement of a commercial-off-the-shelf (COTS) product that is capable of achieving semi-autonomous flight. The details of the selection of various components and software design are discussed. Take-off, hovering and landing controls for...
L2C is the second civilian signal broadcasted on the modernized block of GPS satellites. Compared with L1C/A, the length of L2C code is longer, and includes the civil moderate code (CM code, 20ms) and the civil long code (CL code, 1.5s), which are based on time division multiplexing. For the long CL code, rapid acquisition is difficult due to the large search space. To accelerate the search process...
In terms of the uncertainties induced by wave disturbances when an underwater vehicle is operated by the surface of water, a dynamic model based on CFD is built to analyze 6DOF positioning combining with the novelty Model-Converted Remotely Operated Vehicle (MC-ROV) of ocean engineering. A strategy of force and moment allocations is designed according to positioning error, then compensating it with...
The fractal dimension, an important parameter as a measure of roughness of image, has been widely utilized to image classification, recognition and segmentation etc. Differential box-counting approach is widely applied to estimate fractal dimension in the calculation approaches of fractal dimension. However, this approach can not accurately calculate fractal dimension of image which have smaller gray...
This paper details a new method of technical condition diagnostics of a ship electric power plant (EPP). The method is based on presenting the EPP as an abstract dynamic system, the operation of which involves system state transition under the effect of external and internal disturbances. A ship EPP diagnostic algorithm has been developed that enables locating faults of the power plant elements with...
Train accidents continuously occur due to a variety of causes (carelessness by the conductor, broken wheels, disaster during train movements, etc.). To prevent train-related accidents in advance, it is considered the monitoring train systems with wireless sensor networks (WSNs). In this paper, we propose an efficient algorithm to dynamically configure WSNs-based trains for relaying sensing data via...
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