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Evaluation of Nonlinear Estimation Methods for Calibration of a Heat-Release Model

Model-based analysis of in-cylinder pressure sensor signals has been a key component for internal combustion engine research, diagnostics and controller development during the past decades. This analysis is often based on simple thermodynamic models of the in-cylinder processes. In order for the analysis to give accurate results, the models need to be sufficiently calibrated. This paper investigat

Integrating microorganism and macroorganism dispersal: modes, techniques and challenges with particular focus on co-dispersal.

Whatever their size and the ecosystem they live in, all organisms may disperse at some stage of their life cycle. Dispersal dynamics are to a varying extent dependent on organismal size, life history, ecological niche, survival capacities and phylogeny. Moves towards a synthesis in dispersal ecology have focused primarily on vertebrates and higher plants, yet recent studies suggest that the disper

Bonsai: Rapid Bounding Volume Hierarchy Generation using Mini Trees

We present an algorithm, called Bonsai, for rapidly building bounding volume hierarchies for ray tracing. Our method starts by computing midpoints of the triangle bounding boxes and then performs a rough hierarchical top-down split using the midpoints, creating triangle groups with tight bounding boxes. For each triangle group, a mini tree is built using an improved sweep SAH method. Once all mini

Application-Set Driven Exploration for Custom Processor Architectures

Custom architectures are often adopted as more efficient alternatives to general purpose processors in terms of performance and power. However, the design of such architectures requires experts both in hardware and the application domain. In this paper we propose a method for speeding up the design space exploration. Our method, based on Pareto points, identifies sets of solutions in terms of scal

Comparing Analog Front-Ends for Duty-Cycled Wake-Up Receivers in Wireless Sensor Networks

Using ultralow-power wake-up receivers (WRxs) can reduce idle listening energy cost in wireless sensor networks with low traffic intensity. This has led to many WRx analog front-end (AFE) designs presented in literature, with a large variety of trade-offs between the sensitivity, the data rate, and the power consumption. Energy consumed during wake-up in a network depends on many parameters and wi

Investigation of Late-Cycle Soot Oxidation Using Laser Extinction and In-Cylinder Gas Sampling at Varying Inlet Oxygen Concentrations in Diesel Engines

This study focuses on the relative importance of O2 and OH as oxidizers of soot during the late cycle in diesel engines, where the soot oxidation is characterized in an optically accessible engine using laser extinction measurements. These are combined with in cylinder gas sampling data from a single cylinder engine fitted with a fast gas sampling valve. Both measurements confirm that the in-cylin

Time-Continuous Quasi-Monte Carlo Ray Tracing

Domain-continuous visibility determination algorithms have proved to be very efficient at reducing noise otherwise prevalent in stochastic sampling. Even though they come with an increased overhead in terms of geometrical tests and visibility information management, their analytical nature provides such a rich integral that the pay-off is often worth it. This paper presents a time-continuous, prim

Associations between chronic airflow limitation, respiratory symptoms, and quality of life across alcohol use categories : a population based study

Introduction: Alcohol use has significant health implications, yet the association between alcohol use and respiratory symptoms remains relatively understudied. This study examines the prevalence of hazardous alcohol use and its associations with breathlessness, chronic cough, and health-related quality of life (HRQoL) and whether these associations with chronic airway limitation (CAL) differ by a

Bättre tillsammans : – en modell för stöd i livet utanför vården

I artikeln presenterar forskarna Tillsammans-projektet, som syftar till att förbättra socialt stöd genom samverkan mellan civilsamhället och vården. Projektet bygger på community connector-modellen, där en samhällskontakt agerar som mellanhand för att koppla patienter till stöttande resurser. Modellen, som utvecklats genom workshops, strävar efter att skapa ett mer omfattande stöd utanför vården, I artikeln presenterar forskarna Tillsammans-projektet, som syftar till att förbättra socialt stöd genom samverkan mellan civilsamhället och vården. Projektet bygger på community connector-modellen, där en samhällskontakt agerar som mellanhand för att koppla patienter till stöttande resurser. Modellen, som utvecklats genom samskapande workshops, strävar efter att skapa ett mer omfattande stöd utan

Exploiting statically schedulable regions in dataflow programs

Abstract in UndeterminedDataflow descriptions have been used ina wide range of Digital Signal Processing (DSP)applications, such as multi-media processing, andwireless communications. Among various forms ofdataflow modeling, Synchronous Dataflow (SDF) isgeared towards static scheduling of computationalmodules, which improves system performance andpredictability. However, many DSP applicationsdo no

Hybrid Model Predictive Control of Exhaust Recompression HCCI

Homogeneous charge compression ignition (HCCI) holds promise for reduced emissions and increased efficiency compared to conventional internal combustion engines. As HCCI lacks direct actuation over the combustion phasing, much work has been devoted to designing controllers capable of set-point tracking and disturbance rejection. This paper presents results on model predictive control (MPC) of the

Detection and Localization of Drones and UAVs Using Sound and Vision

In this paper, we present a system for drone detection and positioning. The approach uses a system composed of an audio detection rig with a set of microphones, a set of fixed cameras with a large combined field of view and a Pan-TiltZoom camera. We present how this system can be defined in an efficient and modular way with a number of parallel sensing modules. The focus of this work is the audio

Unlocking the True Potential of Decryption Failure Oracles: A Hybrid Adaptive-LDPC Attack on ML-KEM Using Imperfect Oracles

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

Exponential resolution lower bounds for weak pigeonhole principle and perfect matching formulas over sparse graphs

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