Laser-scanning confocal microscopy of the human cornea acquires in vivo images of corneal tissues with cellular resolution, which offers diagnostic potential for a variety of diseases. However, involuntary fixational ...
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Tribometry methods are focused on the research of tribological processes. These method also include model tests on experimental equipment, which operate in exactly-defined mode. Input parameters of tests are transpare...
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The contribution is focused on estimating the shear modulus of the samples of circular and hollow circular sections by static method. The samples were loaded by simple torsion, individual sections were stressed by she...
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Pattern recognition algorithms are commonly utilized to discover certain patterns,particularly in image-based *** study focuses on quasiperiodic oscillations(QPO)in celestial objects referred to as cataclysmic variabl...
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Pattern recognition algorithms are commonly utilized to discover certain patterns,particularly in image-based *** study focuses on quasiperiodic oscillations(QPO)in celestial objects referred to as cataclysmic variables(CV).We are dealing with interestingly indistinct QPO signals,which we analyze using a power density spectrum(PDS).The confidence in detecting the latter using certain statistical approaches may come out with less significance than the *** work with real and simulated QPO data of a CV called MV *** primary statistical tool for determining confidence levels is sigma *** aforementioned CV has scientifically proven QPO existence,but as indicated by our analysis,the QPO ended up falling below 1-σ,and such QPOs are not noteworthy based on the former *** intend to propose and ultimately train a convolutional neural network(CNN)using two types of QPO data with varying amounts of training dataset *** aim to demonstrate the accuracy and viability of the classification using a CNN in comparison to sigma *** resulting detection rate of our algorithm is very plausible,thus proving the effectiveness of CNNs in this scientific area.
Governments across the world are planning to increase the share of renewables in their energy systems. The siting of new wind and solar power plants requires close coordination with grid planning, and hence co-optimiz...
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Governments across the world are planning to increase the share of renewables in their energy systems. The siting of new wind and solar power plants requires close coordination with grid planning, and hence co-optimization of investment in generation and transmission expansion in spatially and temporally resolved models is an indispensable but complex problem. Particularly considerations of transmission expansion planning (TEP) add to the problem's complexity. Even if the power flow equations are linearized, the optimization problem is still bilinear and mixed-integer due to the dependence of line expansion on line impedance and a discrete set of line expansion options. While it is possible to linearize this mixed-integer nonlinear program (MINLP) by applying a big-M disjunctive relaxation, the resulting MILP is still hard to solve using state-of-the-art solvers for large-scale energy system models. In this paper we therefore develop heuristics to incorporate integer transmission expansion and responsive line impedances in energy system models, while retaining the lower computational effort of continuous linear programming (LP) by applying sequential linear programming (SLP) techniques, relaxation and discretization approaches. We benchmark their performance against the results of the exact formulation for a policy-relevant case study of the German transmission system in terms of their speed-up in computation time, deviation from optimal total system cost, and similarity of line expansion. Using heuristics we reduce computation times of joint generation and transmission optimisation by 82% with a maximal total system cost deviation of only 1.5%. The heuristics closely mirror optimal integer line investment of the exact MINLP with considerable time savings for policy-relevant low-carbon energy system optimization models.
In the present paper, we propose auction designs to use flexibility potentials in the energy intensive industry. More specifically, we investigate a large chemical industrial site, which consists of several small prod...
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In the present paper, we propose auction designs to use flexibility potentials in the energy intensive industry. More specifically, we investigate a large chemical industrial site, which consists of several small production facilities. Given data of the potential energy flexibility of these facilities, we analyse which auctions could be used to make the production managers change their operational decisions from a pure production schedule focus to a more energy usage based focus that supports an energy grid with high renewable energy penetration.
One of the most common and important tasks in control is to maintain a specified constant output value. While constant output is typically achieved for linear time-invariant systems by controlling a state equilibrium,...
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ISBN:
(数字)9798350373974
ISBN:
(纸本)9798350373981
One of the most common and important tasks in control is to maintain a specified constant output value. While constant output is typically achieved for linear time-invariant systems by controlling a state equilibrium, it is also possible to achieve with nonequilibrium state trajectories. These include superpositions with the zero dynamics trajectories, as well as nonequilibrium non-zero-dynamics trajectories. We give a geometric description of the state subspace which allows a constant output. For a nondegenerate system with no invariant zero at s = 0, the subspace is the sum of the equilibrium subspace and the maximal output-nulling subspace. Furthermore, for minimal systems, a stronger statement in the form of a necessary and sufficient condition is given.
This paper reports the first results of a comparison of human and algorithmic anomaly detection. We are interested in how human and automated anomaly detection can be combined in the most beneficial way to improve how...
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Governments across the world are planning to increase the share of renewables in their energy systems. The siting of new wind and solar power plants requires close coordination with grid planning, and hence co-optimiz...
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The article is focused on the main known data integration issues within the consolidating of the heterogeneous data systems. The aim is to propose the data flow processing structure which will increase the data contro...
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