Sökresultat

Methods for energy and bandwidth efficient coded digital communication, including pulse design, non-orthogonal signaling methods, and the faster than Nyquist signaling method.

Partially Premixed Combustion (PPC) has shown to be a promising advanced combustion mode for future engines in terms of efficiency and emission levels. The combustion timing should be suitably phased to realize high efficiency. However, a simple constant model based predictive controller is not sufficient for controlling the combustion during transient operation. This article proposed one learning

We propose a modulus based zero-forcing (MZF) detector for multi-input multi-output (MIMO) channels. Traditionally, a ZF detector nulls out interference from other layers when detecting a certain layer. While this is conceptually simple, it can result in considerable noise-enhancement. In many communication systems, finite alphabets such as M quadrature-amplitude-modulation (QAM) are used, which c

In this paper, we consider capacity degradations stemming from potential hardware impairments (HWI) of newly proposed Large Intelligent Surface (LIS) systems. Without HWI, the utility of surface-area (the first-order derivative of the capacity with respect to surface-area) is shown to be proportional to the inverse of it. With HWI, the capacity as well as the utility of surface-area are both degra

From a control design point of view, modern diesel engines are dynamic, nonlinear, MIMO systems. This paper presents a method to find low-complexity black-box dynamic models suitable for model predictive control (MPC) of NOx and soot emissions based on on-line emissions measurements. A four-input-five-output representation of the engine is considered, with fuel injection timing, fuel injection dur

As part of its commitment to transparency, the European Food Safety Authority (EFSA) has been developing improved approaches to assessing uncertainty and expressing the degree of certainty in its scientific outputs. The objectives of this workshop were to review and improve the provision of this information by EFSA and its usefulness for risk managers, and to help risk managers to interpret and us

We study mixed-integer optimal control problem using indirect approaches. The proposed method relies on splitting algorithms which separate the mixed problem into two solvable pieces and then iteratively alternating between the two. The algorithm gives approximated local solutions, and provides lower and upper bounds estimations of the global optimum. Simulations are provided to validate our appro

This study analyzes how violent conflict influences taxation in a poor, conflict-affected country, Burkina Faso. We use a unique, large, and representative panel dataset on tax collection of firms between 2015 and 2022 and geographically match these data with indicators of violent conflict at the municipal level. We find that firms pay a lower amount of tax in areas affected by violence. We also f

Side-channel attacks exploiting Plaintext-Checking (PC) and Decryption Failure (DF) oracles are a pressing threat to deployed post-quantum cryptography. These oracles can be instantiated from tangible leakage sources like timing, power, and microarchitectural behaviors, making them a practical concern for leading schemes based on lattices, codes, and isogenies. In this paper, we revisit chosen-cip

We show exponential lower bounds on resolution proof length for pigeonhole principle (PHP) formulas and perfect matching formulas over highly unbalanced, sparse expander graphs, thus answering the challenge to establish strong lower bounds in the regime between balanced constant-degree expanders as in [Ben-Sasson and Wigderson’01] and highly unbalanced, dense graphs as in [Raz’04] and [Razborov’03

Age of Information (AoI) is a widely used metric to quantify the freshness of updates in communication systems. Existing AoI analyses implicitly assume a shared or synchronized notion of time between transmitter and receiver, thereby neglecting distortions arising from relative motion and gravitational effects. In this paper, we investigate the impact of relativistic time dilation on information f

We study a class of dynamical multi-commodity flows in transportation networks. These are modeled as dynamical systems describing the evolution of the densities of a number of different commodities across the cells of a transportation network. Each cell is characterized by commodity-specific increasing demand functions returning the maximum outflow of each commodity from the cell as a function of

This paper investigates a behavioral-feedback SIR model in which the infection rate adapts dynamically based on the fractions of susceptible and infected individuals. We introduce an invariant of motion and we characterize the peak of infection. We further examine the system under a threshold constraint on the infection level. Based on this analysis, we formulate an optimal control problem to keep

We consider two optimization problems in which a planner aims to influence the average transient opinion in the Friedkin-Johnsen dynamics on a network by intervening on the agents' innate opinions. Solving these problems requires full network knowledge, which is often not available because of the cost involved in collecting this information or due to privacy considerations. For this reason, we foc

This paper introduces a predictive combustion-engine controller for efficient fulfillment of constraints on peak pressure, exhaust temperature and NO emissions. The controller utilizes a in-cylinder pressure sensor, actuation of multiple fuel injections and numerical optimization. A physical model is used to predict pressure changes due to fuel-injection variation. The predicted pressure is used t

Partially premixed combustion (PPC) is a hybrid combustion of Homogeneous Charge Compression Ignition (HCCI) and Diesel Combustion (DC), which has a great potential in reducing the fuel consumption. PPC has a longer premixed time than DC but lesser than HCCI. Therefore it is more stratified than HCCI. This paper first presents results on how the stratification using multiple injections and differe

As the demand for connectivity and infotainment services increases in the automotive world, the need to measure and characterize the propagation channels inside vehicles also increases. In this work, a measurement study was performed to investigate the influence of RF cables on in-vehicle channels. It was found that, for the same transmit and receive antenna positions, the routing of the measureme