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The autonomous navigation of unmanned aerial vehicles (UAVs) require a lot of sensing modalities to improve their cruise efficiency. This paper presents a system for autonomous navigation and path planning of UAVs in GPS-denied environment based on the fusion of geo-registered 3D point clouds with proprioceptive sensors (IMU, odometry and barometer) and the 2D Google maps. The contributions of this...
We show that it is possible to achieve information theoretic location privacy for secondary users (SUs) in database-driven cognitive radio networks (CRNs) with an end-to-end delay less than a second, which is significantly better than that of the existing alternatives offering only a computational privacy. This is achieved based on a keen observation that, by the requirement of Federal Communications...
eHealth is a technology that is growing in importance over time, varying from remote access to Medical Records, such as Electronic Health Records (EHR), or Electronic Medical Records (EMR), to real-time data exchange from different on-body sensors coming from different patients. With this huge amount of critical data being exchanged, problems and challenges arise. Privacy and confidentiality of this...
Overhead distribution lines are usually subject to voltage transients during thunderstorms. Lightning flashes, whether direct or indirect, are one of the main causes of power quality disturbances on the electric grid. In this paper, a methodology to establish a correlation between the incidence point of a lightning flash, the stroke current amplitude and polarity and its effects on the electric distribution...
The issues of software and hardware development are considered of data logging into systems of testing complex objects. The describes the architecture of a system for testing complex scientific-technical objects. In the list of original elements of the concept of building highly reliable, fast-reconfigurable interactive test monitoring and control systems: — using of original technology of representation...
Gait Recognition is a behavioural biometric that has been investigated for a few decades now. Various sensors can be used in this research. Most research is using video capture and various methods for analyzing the video. This method is well suited in case of user identification and has proven its value in court cases as forensic evidence. Another way to do gait recognition is using wearable sensors,...
Database-driven Dynamic Spectrum Sharing (DSS) is the de-facto technical paradigm adopted by Federal Communications Commission (FCC) for increasing spectrum efficiency. In such a system, a geo-location database administrator (DBA) maintains spectrum availability information over its service region whereby to determines whether a secondary user can access a licensed spectrum band at his desired location...
This contribution presents an evaluation on the performance of wearable gait recognition of individuals walking in groups. Three case scenarios are presented: Individual, when the user walks alone; Group, in which a group of users walk at the same time at a normal pace; and Formation, in which users walk in military formation. The evaluation was performed with the collaboration of the University Center...
Distributed system for sampling and analysis of electroencephalograms is proposed and implemented in alpha state. The system is based on the previously developed database for archiving of the electroencephalograms in Ukrainian National Grid infrastructure. The new components of the system include EEG sensors for laboratory animals, simulations software and data procession algorithms. The first application...
The major challenges for optical based tracking are the lighting condition, the similarity of the scene, and the position of the camera. This paper demonstrates that under such conditions, the positioning accuracy of Google's Tango platform may deteriorate from fine-grained centimetre level to metre level. The paper proposes a particle filter based approach to fuse the WiFi signal and the magnetic...
This work presents security solutions related to multi-sensor closed-loop artificial pancreas (AP) systems. The proposed AP system is built on a heterogeneous platform incorporating a smartphone, activity sensors, a glucose monitor, an insulin pump, a laptop hosting the multi-variable control algorithm and a cloud server. Developing a secure AP system is essential for mass adoption among diabetes...
Multispectral face recognition systems are widely used in various access control applications. The vulnerability of multispectral face recognition sensors towards low-cost Presentation Attack Instrument (PAI) such as printed photos used in attacks has emerged as a serious security threat. In this paper, we present a novel framework to detect presentation attacks against an extended multispectral face...
Real time road traffic update is highly desirable for city dwellers, commuters, tourists and travelers. In this paper, we propose a novel methodology for estimating traffic conditions at road intersections. Our methodology involves crowd sourcing approach for traffic estimation as well as utilization of conditional probability distribution of traffic states at adjacent junctions. The later approach...
Presentation attack on the face recognition systems is well studied in the biometrics community resulting in various techniques for detecting the attacks. A low-cost presentation attack (e.g. print attacks) on face recognition systems has been demonstrated for systems operating in visible, multispectral (visible and near infrared spectrum) and extended multispectral (more than two spectral bands spanning...
Anticipatory mobile computing is an emerging research field in pervasive environments. However, building multiple anticipatory applications to proactively support a user on his behalf still involves a disproportionate effort through their interdisciplinary nature and individual complex development from scratch. In this paper, we present architectural concepts and a reference implementation of a distributed...
Fingerprint recognition has been extensively used in numerous civilian applications ranging from border control to everyday identity verification. The threats to current systems emerge from two facts that can be attributed to potential loss in accuracy due to damaged external fingerprints and attacks on the sensors by creation of an artefacts (e.g. silicone finger) simply by lifting the latent fingerprints...
This paper's purpose is describing and highlighting of how our system is intended to work and how it can help us in everyday life, as well as making the Earth a safer and cleaner place, by not even noticing it's presence. Our system is always monitoring the traffic of every major city, analyzing it and making decisions on how people should drive, in a manner that the roads are safer, the fuel consumption...
White spaces are portions of the TV spectrum that are allocated but not used locally. Ifaccurately detected, white spaces offer a valuable new opportunity for highspeed wireless communications. We propose a new method for white space detection that allows a node to actlocally, based on a centrally constructed model, and at low cost, whiledetecting more spectrum opportunities than best known approaches...
The world's non-renewable energy resources are depleting whilst the atmospheric carbon concentration is increasing. In order to arrest this, it has become mandatory that energy conservation measures be implemented. The Wireless Residential Power Monitoring System is a user-friendly package which monitors energy consumption within households with 100–240 V AC levels and assists with demand side management...
Navigation maps provide important information for Advanced Driving Assistance Systems (ADAS) and Autonomous Vehicles. This paper presents a method estimating a set of likely map-matched hypotheses containing the correct solution with a high probability. This addresses the problems encountered when using a high definition map when a large number of ambiguities arise. These occur for instance, when...
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