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The multiple signal classification (MUSIC) algorithm, which was originally proposed to solve the direction of arrival (DOA) estimation problem in sensor array processing, has attracted much attention in recent years as a method to solve the multiple-measurement vectors (MMV) problem. While MUSIC reliably reconstructs the row sparse signals in the full row rank case, it performs poor in the rank deficient...
Indoor positioning without GPS is one of the most important problems in indoor pedestrian navigation. In this paper, we propose an accurate indoor positioning algorithm using a particle filter based on a floormap, where we use the proximity of the Bluetooth beacons as well as acceleration and geomagnetic sensors. In designing the likelihood function in the particle filter, we effectively use the proximity...
Coverage issue in directional sensor networks (DSNs) is different from traditional omni-directional wireless sensor networks (WSNs) due to the limited angle of view and adjustable working direction. This paper sets up a model of monitoring area and a model of sensing area according to the unique characteristics of directional sensor and then derives an optimization model for area coverage ratio maximization...
The paper presents basic control algorithms for vehicle platooning prototype car. The car is designed to be used in vehicle platooning research, namely in studying longitudinal control algorithms for vehicle platooning. It employs various sensors and devices that allow indoor research of platoon behavior. Therefore, the control algorithms can be designed and analyzed before implementing them within...
The challenge of failure management emerges in decentralized architectures due to the distributed nature of the layered control process. Failures in microgrid system may occur at the microgrid level or any of the control layers. A failure detection and response mechanism is required to attain a reliable, fault-tolerant microgrid operation. This paper introduces a Failure Management Unit as an essential...
Real-time DataBase Management Systems (RTDBMS) have been considered as a promising means to manage data for data-centric automotive systems. During the design of an RTDBMS, one must carefully trade off data consistency and timeliness, in order to achieve an acceptable level of both properties. Previously, we have proposed a design process called DAGGERS to facilitate a systematic customization of...
Crowdsourcing is a new paradigm which leverages human computation to finish specific tasks. Efficient incentive mechanisms are proposed to motivate crowd workers' participation, in which however, researchers frequently concentrate on offline forms. Considering worker's successive arrival and dynamic departure, we are motivated to design an online incentive mechanism. Particularly, the workers come...
In recent years, various sensors have been integrated into smartphones to sense the slight motions of human body. However, security researchers found that these sensors can not only be used in motion detection, but also as side-channel to reveal users' privacy data by inferring keystrokes. What is worse, as defined in W3C specifications, the mobile web applications can get these sensor readings silently...
This paper proposed a robust spatial spectrum sensing algorithm to apply to a communication scenario which exist the estimated error of noise power and the jamming. A modified approximate model is proposed to include the estimated error of noise power and the jamming. The corresponding performance indicators are proposed. The proposed robust algorithm estimates the estimated error vector of noise...
Aiming at the problem of sensor node deployment in underwater wireless sensor networks(UWSNs), the doublecoverage algorithm is proposed to solve the premature failure caused by excessive energy consumption. First of all, the coverage area of node is divided into grid around the mobile sensor network with AUV. Then the sensor node is analyzed to design the sensor node sensing model and the sensor node...
The existing frequency hopping (FH) signal analysis methods have the disadvantages of poor time-frequency resolution and low noise suppression ability. Because of the large bandwidth feature of the FH signal, the time-frequency analysis methods are confined to the high sampling rate. In order to solve these problems, the compressive sensing (CS) is applied to the time-frequency analysis of FH signals...
Target counting is an established challenge for sensor networks: given a set of sensors that can count (but not identify) targets, how many targets are there? The problem is complicated because of the need to disambiguate duplicate observations of the same target by different sensors. A number of approaches have been proposed in the literature, and in this paper we take an existing technique based...
The peculiarities of formation criteria, which provide adequate description of images was considered. The feature of vector-rotor functioning and invariance in special points and segment were investigated. It was received the algebraical expressions for determination of step vector as under direct action of rotor. The obtained results of modeling and investigation of values coefficients of compression...
The use of social media to network or connect users across the globe has led to high demand in spectrum utilisation hence there is a need for faster data transmission. Faster data transmission can be achieved through the implementation of techniques which minimizes delays in sensing idle channels for SU data transmission. In this study, we implement a channel selection algorithm to minimize channel...
An accurate and robust lane recognition is a key aspect for autonomous cars of the near future. This paper presents the design and implementation of a robust autonomous driving algorithm using the proven Viola-Jones object detection method for lane recognition. The Viola-Jones method is used to detect traffic cones that are located besides the road as it can be done in emergency situations. The positions...
This paper provides a comprehensive empirical performance analysis of various trajectory compression algorithms for offline compression of trajectory data of sea borne objects which include boats, trawlers, ships etc. Our empirical study uses data from a surveillance application. The surveillance application receives data from various sensors which include GPS integrated sensors, Radars, AIS, S-AIS...
Citizens is becoming an important source of geographic information. Volunteered Geographic Information (VGI) offers an opportunity of involving public to collect disaster information which is individually generated and available in time. This paper propose a VGI oriented approach for Disaster Risk Reduction (DRR) with application to urban waterlogging. An algorithm based on VGI is proposed to deal...
Compressed sensing is a novel theory which combined signal sampling and compression together, and this paper propose an improved reconstruction algorithm. Firstly this paper analysis the sparsity of the power quality disturbance signal and the selection of the measurement matrix, then, this paper proposes an improved regularization sparsity adaptive matching pursuit algorithm (RCoSaMP) on the basis...
Cognitive radio (CR) can improve the utilization of the spectrum by making use of licensed spectrum in an opportunistic manner. The sensing reports from all the CR nodes are sent to a Fusion Centre (FC) which aggregates these reports and takes decision about the presence of the PU, based on some decision rules. Such a collaborative sensing mechanism forms the foundation of any centralised CRN. However,...
This paper contains presentation of the flexible control system for an autonomous UAV (unmanned air vehicle). The complete description of hardware and software solutions used to realize autonomous flight are presented in this work. Main objective of the research was to develop software which provides ease of adjustment and extendibility to drone system with different equipment. Presented system is...
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