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Underwater terrain navigation during realistic scenarios
Many ships today rely on Global Navigation Satellite Systems (GNSS), for their navigation, where GPS (Global Positioning System) is the most well-known. Unfortunately, the GNSS systems make the ships dependent on external systems, which can be malfunctioning, be jammed or be spoofed. There is today some proposed techniques where, e.g., bottom depth measurements are compared with known maps using B
Reports of the AAAI 2017 fall symposium series
The AAAI 2017 Fall Symposium Series was held Thursday through Saturday, November 9–11, at the Westin Arlington Gateway in Arlington, Virginia, adjacent to Washington, DC. The titles of the six symposia were Artificial Intelligence for Human-Robot Interaction; Cognitive Assistance in Government and Public Sector Applications; Deep Models and Artificial Intelligence for Military Applications: Potent
Robust terrain-aided navigation through sensor fusion
To make autonomous, affordable ships feasible in the real world, they must be capable of safely navigating without fully relying on GPS, high-resolution 3D maps, or high-performance navigation sensors. We suggest a method for estimating the position using affordable navigation sensors (compass and speed log or inertial navigation sensor), sensors used for perception of the environment (cameras, ec
Centralized Coordination of Autonomous Vehicles at Intersections
Recent advances in autonomous vehicles present new opportunities in Intelligent transportation systems (ITS) to address urban transport challenges. Therefore, urban traffic scenarios, and in particular intersections as a bottleneck of transportation network, has received significant attention. In this paper we investigate intelligent traffic control mechanisms for autonomous vehicles at intersecti
Impact of etcd deployment on Kubernetes, Istio, and application performance
This experience article describes lessons learned as we conducted experiments in a Kubernetes‐based environment, the most notable of which was that the performance of both the Kubernetes control plane and the deployed application depends strongly and in unexpected ways on the performance of the etcd database. The article contains (a) detailed descriptions of how networking with and without Istio w
Finite element analysis for simplified thermal dose planning in interstitial laser thermotherapy
The objective was to investigate if diffusing laser fibres can be modelled as conductive heat sources without miscalculating coagulated volumes, and if finite element analysis, disregarding light transport, may be used for three dimensional (3D) treatment planning in interstitial laser thermotherapy (ILT). Temperature distributions and coagulated volumes with a diffusing laser fibre, as compared t
Analysis of genome plasticity in pathogenic and commensal Escherichia coli isolates by use of DNA arrays
Genomes of prokaryotes differ significantly in size and DNA composition. Escherichia coli is considered a model organism to analyze the processes involved in bacterial genome evolution, as the species comprises numerous pathogenic and commensal variants. Pathogenic and nonpathogenic E. coli strains differ in the presence and absence of additional DNA elements contributing to specific virulence tra
ADP mediates inhibition of insulin secretion by activation of P2Y(13) receptors
Genetic variation in ATP5O is associated with mRNA expression in human skeletal muscle and in vivo glucose uptake
Metabolic effects of novel type 2 diabetes genes in a population aged 18-75 years
Two Tunable Frequency Duplexer Architectures for Cellular Transceivers
In this paper two architectures for tunable duplexersare presented. The tuning is accomplished through variablecapacitance and resistance. The architectures are based on athree element series-parallel resonator, with one pass and onestop frequency. Both architectures rely on filtering as well ascancellation for good Tx to Rx isolation while maintaining lowinsertion loss. The first architecture, the
Blurring the Line : From Multicore Devices to the Internet of Things
Distributed Approach to the Holistic Resource Management of a Mobile Cloud Network
The Mobile Cloud Network is an emerging cost and capacity heterogeneous distributed cloud topological paradigm that aims to remedy the application performance constraints imposed by centralised cloud infrastructures. A centralised cloud infrastructure and the adjoining Telecom network will struggle to accommodate the exploding amount of traffic generated by forthcoming highly interactive applicati
Teaching Assembly by Demonstration Using Advanced Human Robot Interaction and a Knowledge Integration Framework
Conventional industrial robots are heavily dependent on hard automation that requires pre-specified fixtures and time-consuming (re)programming performed by experienced operators. In this work, teaching by human-only demonstration is used for reducing required time and expertise to setup a robotized assembly station. This is achieved by the proposed framework enhancing the robotic system with adva
Flawless diamond reconstruction for simultaneous source separation
In this paper we prove that the recently introduced method of signal apparition optimally separates signals from interfering sources recorded during simultaneous source seismic data acquisition. By utilizing a periodic sequence of source signatures along one source line, that wavefield becomes separately partially visible in the spectral domain where it can be isolated from interfering signals, pr
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Broadband LDMOS 40 W and 55 W integrated power amplifiers
The performance of broadband microwave 40 W and 55 W LDMOS integrated power amplifiers is reported. A 30 V LDMOS process with 500 nm gate length was used for the design. Single and dual die packages were evaluated. A dual die package provides flexibility in output power and efficiency depending on combiner topology at the input and output of the circuit. Different saturated power and efficiency ar
Modeling the Polarimetric mm-wave propagation channel using censored measurements
This paper presents results based on polarimetric radio channel measurements at 60 GHz in a small room and in an empty, unfurnished, medium-sized room. The measurements in the small meeting room were performed using dual-polarized virtual antenna array elements at both the transmitter and receiver sides and includes LOS and NLOS scenarios. In the unfurnished room, a directional horn antenna was sc
Visual Odometry from Two Point Correspondences and Initial Automatic Tilt Calibration
Ego-motion estimation is an important step towards fully autonomous mobile robots. In this paper we propose the use of an initial but automatic camera tilt calibration, which transforms the subsequent motion estimation to a 2D rigid body motion problem. This transformed problem is solved 2-optimally using RANSAC and a two-point method for rigid body motion. The method is experimentally evaluated u
