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Model Predictive Control in a Pendulum System

Model Predictive Control (MPC) is applied to a pendulum system consisting of a pendulum and a cart. The objective of the MPC-controller is to steer the system towards precalculated trajectories that move the system from one operating point to another. The sample time of the controller sets hard limitations on the execution time of the optimization routine in the MPC-controller. The optimization pr

Synchronizing the Greenland ice core and radiocarbon timescales over the Holocene-Bayesian wiggle-matching of cosmogenic radionuclide records

Investigations of past climate dynamics rely on accurate and precise chronologies of the employed climate reconstructions. The radiocarbon dating calibration curve (IntCal13) and the Greenland ice core chronology (GICC05) represent two of the most widely used chronological frameworks in paleoclimatology of the past 1/4 g50g000 years. However, comparisons of climate records anchored on these chrono

Real-Time Trajectory Generation Using Model Predictive Control

The problem of planning a trajectory for robots starting in an initial state and reaching a final state in a desired interval of time is tackled. We consider Model Predictive Control as an approach to the problem of point-to-point trajectory generation. We use the developed strategy to generate trajectories for transferring the state of the robot, fulfilling computational real-time requirements. E

Tight linear convergence rate bounds for Douglas-Rachford splitting and ADMM

Douglas-Rachford splitting and the alternating direction method of multipliers (ADMM) can be used to solve convex optimization problems that consist of a sum of two functions. Convergence rate estimates for these algorithms have received much attention lately. In particular, linear convergence rates have been shown by several authors under various assumptions. One such set of assumptions is strong

Requirements engineering in open innovation

During the last two decades a slow but steady change of external factors has set-up new conditions affecting the way in how software producing firms create and leverage innovations. Firms now need to look outside of their boundaries and start interacting with the open environment that encompasses them in order to stay innovative and keep a competitive advantage. To facilitate this shift Requiremen

Periodicities in mid- to late-Holocene peatland hydrology identified from Swedish and Lithuanian tree-ring data

Twenty-five tree-ring width (TRW) chronologies, developed from moisture sensitive peatland trees in Sweden and Lithuania, and representing eight periods during the mid-Holocene to present, were analysed regarding common periodicities (cycles). Periods of 13-15, 20-22, and 30-35 years were found in most chronologies, while 8-10, 18-19, and 60-65 year periodicities were observed as well, but less co

RPL for accreditation in higher education - As a process of mutual understanding or merely lifeworld colonisation?

This article focuses on a process of recognition of prior learning (RPL) in higher education. It is based on experiences from a project carried out in collaboration between the University of Lund, Linköping University and two trade unions in Sweden. The aim of the project was to find ways of recognising prior learning for accreditation of course credits at university level. In the project and its

High-precision dating and correlation of ice, marine and terrestrial sequences spanning Heinrich Event 3 : Testing mechanisms of interhemispheric change using New Zealand ancient kauri (Agathis australis)

Robustly testing hypotheses of geographic synchroneity of abrupt and extreme change during the late Pleistocene (60,000 to 11,650 years ago) requires a level of chronological precision often lacking in ice, marine and terrestrial sequences. Here we report a bidecadally-resolved New Zealand kauri (Agathis australis) tree-ring sequence spanning two millennia that preserves a record of atmospheric ra

Personalized Short-Term Blood Glucose Prediction in T1DM

Insulin therapy for tight glycemia regulation in T1DM strongly depends on patients ́ daily decisions about insulin delivery adaptations in relation to: health status, current BG, target BG, insulin sensitivity, diet and foreseen activities. A personalized predictor providing near future BG predictions would support the users in the decision-making tasks while letting them maintaining control over

Patient-specific Glucose Metabolism Models for Model Predictive Control of T1DM Glycemia

The development of a predictive control algorithm for glycaemia regulation in diabetic subjects requires patient-specific models of the glucose metabolism which are physiologically relevant, parsimonious, yet able to accurately forecast blood glucose. Given the measured data: total plasma insulin [mIU/L]; plasma glucose [mg/dL]; plasma glucose rate of appearance after intestinal absorption [mg/kg

WDM network re-optimization avoiding costly traffic disruptions

Network re-optimization is a process that must be triggered periodically in order to improve the inefficient resource allocation of online routing heuristics due to the uncertainty of online lightpath demand arrivals and departures. Network re-optimization involves two tasks: a) finding new lightpaths for a (sub)set of current demands, i.e. rerouting, and b) migrating the current traffic to the ne

Evidence-Based Timelines for Agile Project Retrospectives – A Method Proposal

Retrospective analysis of agile projects can support identification of issues through team reflection and may enable learning and process improvements. Basing retrospectives primarily on experiences poses a risk of memory bias as people may remember events differently, which can lead to incorrect conclusions. This bias is enhanced in project retrospectives which cover a longer period compared to i

An Arctic CCN-limited cloud-aerosol regime

On average, airborne aerosol particles cool the Earth's surface directly by absorbing and scattering sunlight and indirectly by influencing cloud reflectivity, life time, thickness or extent. Here we show that over the central Arctic Ocean, where there is frequently a lack of aerosol particles upon which clouds may form, a small increase in aerosol loading may enhance cloudiness thereby likely cau

The Arctic Summer Cloud Ocean Study (ASCOS): overview and experimental design

The climate in the Arctic is changing faster than anywhere else on earth. Poorly understood feedback processes relating to Arctic clouds and aerosol-cloud interactions contribute to a poor understanding of the present changes in the Arctic climate system, and also to a large spread in projections of future climate in the Arctic. The problem is exacerbated by the paucity of research-quality observa