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Electric power systems are undergoing huge changes due to the shift from conventional power production to more renewable-based generation like solar and wind. This is primarily driven by the need to mitigate climate change by reducing CO2 emissions. The shift to more generation from solar and wind will affect the dynamical behaviour of power systems, and consequently how they should be controlled.

This paper presents a comparison between a Itl-bit asynchronous SAR (ASAR) ADC and a 10-bit synchronous SAR (SSAR) ADC, both designed and simulated in a 22-nm FDSOI CMOS process. To further support the simulation results, the ASAR ADC has also been fabricated and measurements are pre-sented. As opposed to the abrupt SNDR collapse in the SSAR ADC, the SNDR of the ASAR ADC shows a more graceful deg-

Software analytics (SA) is frequently proposed as a tool to support practitioners in software engineering (SE) tasks. We have observed that several secondary studies on SA have been published. Some of these studies have overlapping aims and some have even been published in the same calendar year. This presents an opportunity to analyze the congruence or divergence of the conclusions in these studi

This paper gives a global solution to an H-infinity control problem for systems with symmetric state matrix and state-dependent input matrix. A simple, closed-form expression for the minimizing controller is obtained. This is in contrast to already established theory in which nonlinear H-infinity problems are solved locally. The result is then illustrated through an example, and the potential for

Distributed massive multiple-input multiple-output (MIMO) communication is envisioned as one of the key paradigms of future MIMO systems. To investigate non-wide-sense stationarities (non-WSSs) in distributed massive MIMO channels, this paper first presents an indoor channel measurement campaign, where distributed arrays with a total of 128 elements were implemented. Then relying on the correlatio

Modern robotic perception is highly dependent on neural networks.It is well known that neural network-based perception can be unreliable in real-world deployment,especially in difficult imaging conditions.Out-of-distribution detection is commonly proposed as a solution for ensuring reliability in real-world deployment.Previous work has shown that normalizing flow models can be used for out-of-dist

Several studies have evaluated various ML techniques and found promising results in classifying bug reports. However, these studies have used different evaluation designs, making it difficult to compare their results. Furthermore, they have focused primarily on accuracy and did not consider other potentially relevant factors such as generalizability, explainability, and maintenance cost. These two

A well-balanced exploration-exploitation trade-off is crucial for successful acquisition functions in Bayesian optimization. However, there is a lack of quantitative measures for exploration, making it difficult to analyze and compare different acquisition functions. This work introduces two novel approaches - observation traveling salesman distance and observation entropy - to quantify the explor

Bayesian optimization (BO ) is an effective method for optimizing expensive-to-evaluate black-box functions. While high-dimensional problems can be particularly challenging, due to the multitude of parameter choices and the potentially high number of data points required to fit the model, this limitation can be addressed if the problem satisfies simplifying assumptions. Axis-aligned subspace appro

This is the second component of a two-part paper dealing with a unification of characteristic mode decomposition. This second part addresses modal tracking, interpolation, the role of ohmic losses, and presents several numerical examples for surface-based method-of-moment formulations. A new tracking algorithm based on algebraic properties of the transition matrix is developed, achieving excellent

We study the stability of oscillation in two different multi-mode harmonic oscillators by means of Barkhausen’s criterion, involving a minimum of mathematical machinery in favor of a more intuitive, circuit-based approach. The results of the theoretical analysis match very closely those obtained through transient simulations, confirming occasionally surprising outcomes of the latter.

Can simple systems be regulated by simple controllers? Engineering experience indicates that this is often the case. Certainly, the overwhelming majority of industrially deployed controllers are proportional-integral-derivative (PID) controllers, many of which are tuned without detailed models. This is often in disappointing contrast with the controllers produced using model-based approaches. This

Hybrid computational schemes combining the advantages of a method of moments formulation of a field integral equation and T-matrix method are developed in this article. The hybrid methods are particularly efficient when describing the interaction of electrically small complex objects and electrically large objects of canonical shapes such as spherical multilayered bodies where the T-matrix method

Cellular-connected unmanned aerial vehicle (UAV) has attracted a surge of research interest in both academia and industry. To support aerial user equipment (UEs) in the existing cellular networks, one promising approach is to assign a portion of the system bandwidth exclusively to the UAV-UEs. This is especially favorable for use cases where a large number of UAV-UEs are exploited, e.g., for packa

Background: Birds that forage while covering distance during migration should adjust traveling behaviors as the availability of foraging habitat changes. Particularly, the behavior of those species that depend on bodies of water to find food yet manage to migrate over changing landscapes may be limited by the substantial variation in feeding opportunities along the route. Methods: Using GPS tracki

Our aim was to understand mechanisms for clustering and cross-linking of gliadins, a wheat seed storage protein type, monomeric in native state, but incorporated in network while processed. The mechanisms were studied utilizing spectroscopy and high-performance liquid chromatography on a gliadin-rich fraction, in vitro produced α-gliadins, and synthetic gliadin peptides, and by coarse-grained mode

In this letter, we give an upper bound on the deviation from H-infinity optimality of a class of controllers as a function of the deviation from symmetry in the state matrix. We further suggest a scalar measure of symmetry which is shown to be directly relevant for estimating nearness to optimality. In connection to this, we give a simple analytical solution to a class of Lyapunov equations for tw

Reconstruction of movement control properties of the brain could result in many potential advantages for application in robotics. However, a hampering factor so far has been the lack of knowledge of the structure and function of brain circuitry in vivo during movement control. Much more detailed information has recently become available for the area of the cerebellum that controls arm-hand movemen