Environmental sustainability is considered as one of the most important challenges humanity faces. Companies’ commitment to take the environmental consequences of their functioning seriously into account has become e...
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Environmental sustainability is considered as one of the most important challenges humanity faces. Companies’ commitment to take the environmental consequences of their functioning seriously into account has become essential, which statement is valid for whole supply chains (SCs) as well. The paper introduces an approach to achieve trade-offs between the economic (e.g. profit) and the environmental (e.g. CO 2 emission) aspects of SCs’ sustainability. Its applicability is demonstrated on a hypothetical multi-level SC, showing how relatively minor relaxations of the expected profit can lead to SC structures not only with reduced transportation-related CO 2 emission, but also with increased structural robustness and complexity.
We study the reduction of degrees of freedom for the equations that determine necessary optimality conditions for extrema in an optimal control problem for a multi-agent system by exploiting the physical symmetries of...
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This paper presents an identifier based intelligent adaptive fuzzy control scheme with regulating blood glucose concentration in normoglycemic level of 70mg/dl for type 1 diabetic patients. The identifier is built wit...
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Combined method of cryptographic data protection based on the autoassociative neural network using 'model of successive geometric transformations' paradigm and XOR masking has been described. Improved methods ...
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Quantum Hall systems host chiral edge states extending along the one-dimensional boundary of any two-dimensional sample. In solid state materials, the edge states serve as perfectly robust transport channels that prod...
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Quantum Hall systems host chiral edge states extending along the one-dimensional boundary of any two-dimensional sample. In solid state materials, the edge states serve as perfectly robust transport channels that produce a quantized Hall conductance; due to their chirality, and the topological protection by the Chern number of the bulk band structure, they cannot be spatially localized by defects or disorder. Here, we show experimentally that the chiral edge states of a lossy quantum Hall system can be localized. In a gyromagnetic photonic crystal exhibiting the quantum Hall topological phase, an appropriately structured loss configuration imparts the edge states’ complex energy spectrum with a feature known as point-gap winding. This intrinsically non-Hermitian topological invariant is distinct from the Chern number invariant of the bulk (which remains intact) and induces mode localization via the “non-Hermitian skin effect.” The interplay of the two topological phenomena—the Chern number and point-gap winding—gives rise to a non-Hermitian generalization of the paradigmatic Chern-type bulk-boundary correspondence principle. Compared to previous realizations of the non-Hermitian skin effect, the skin modes in this system have superior robustness against local defects and disorders.
Electromagnetic current transformers (CT) are subject to saturation and residual magnetization of a magnetic circuit. This phenomenon has an impact on the operation of devices of commercial accounting of electric ener...
Electromagnetic current transformers (CT) are subject to saturation and residual magnetization of a magnetic circuit. This phenomenon has an impact on the operation of devices of commercial accounting of electric energy and relay protection and automatics (RPA). Saturation of the current transformer's magnetic core can lead to emergency situations due to incorrect operation of the protections and excessive disconnection of the protected connections. At the moment, Russian norms do not regulate the work in transient modes, including short circuits with an aperiodic current component. The Ivanovo State Power Engineering University (ISPEU) conducts research on the topic of determining the time to saturation of CT at short circuit. The purpose of the work was to develop an algorithm for monitoring saturation and determining the time to saturation of the CT magnetic core, in order to ensure the correct operation of the RPA in all modes. The article is devoted to the method of construction and research of mathematical models of CT for calculating the time to saturation. The general structure of the algorithm for determining the time to saturation is presented.
In this paper we show that an input-output function can be realized by an LPV state-space representation with affine and static dependence on the scheduling parameters, if and only if this input-output function satisf...
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In this work, the sufficient conditions for uniformly persistence of a food chain prey-predator model with prey refuge and harvesting have been found. By creating suitable Lyapunov functions, a set of sufficient condi...
In this work, the sufficient conditions for uniformly persistence of a food chain prey-predator model with prey refuge and harvesting have been found. By creating suitable Lyapunov functions, a set of sufficient conditions that can be checked easily are gotten for the global asymptotic stability of the model. The conditions of the local bifurcation are determined, it’s noticed that near axial and free-second predator equilibrium points there is a transcritical bifurcation, otherwise near the free-second predator equilibrium point there is a pitchfork bifurcation, while near the coexistence equilibrium point there is a saddle-node bifurcation . Additional realizations for the Hopf bifurcation close to coexistence equilibrium point have been done. The validity of our main results was demonstrated by numerical analysis.
First-order methods have simple structures and are of great importance to big data problems because first-order methods are easy to implement in a distributed or parallel way. However, in the worst cases, first-order ...
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First-order methods have simple structures and are of great importance to big data problems because first-order methods are easy to implement in a distributed or parallel way. However, in the worst cases, first-order methods often converge at a rate O(1/t), which is slow. This paper considers a class of convex-concave bilinear saddle point problems and proposes an accelerated first-order continuous-time algorithm. We design the accelerated algorithm by using both increasing and decreasing damping coefficients in the saddle point dynamics. If parameters of the proposed algorithm are proper, the algorithm owns O(1/ t 2 ) convergence without any strict or strong convexity requirement. Finally, we apply the algorithm to numerical examples to show the superior performance of the proposed algorithm over existing ones.
In recent years, wake steering has been established as a promising method to increase the energy yield of a wind farm. Current practice in estimating the benefit of wake steering on the annual energy production (AEP) ...
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