The main goal of the third year of the SnakeCLEF challenge was to provide an evaluation platform that helps track the performance of AI-driven methods for snake species recognition systems on a global scale and allows direct comparison with human experts. We ran two challenges...

The main goal of the new LifeCLEF challenge, FungiCLEF 2022: Fungi Recognition as an Open Set Classification Problem, was to provide an evaluation ground for end-to-end fungi species recognition in an open class set scenario. An AI-based fungi species recognition system deployed in ...

This paper presents a novel method for turbinegenerator rotor torsional vibration monitoring. Torsional vibrations can be evaluated from an accurate knowledge of the angular velocity of the rotor. The input information for calculating the angular velocity is the data measured by an incr...

The complexity of state-of-the-art Deep Neural Network (DNN) architectures exacerbates the search for safety relevant metrics and methods that could be used for functional safety assessments. In this article, we investigate Neurons' Criticality (the ability to affect the decision process) for...

The paper describes the simulation environment for the autonomous battery management system for drones called Droneport. First, the problem of battery management is briefly described, and specific experimental and commercial solutions are listed. Then the concept of the proposed Droneport system&...

This article deals with the BTT method of blade vibration measurement used for condition monitoring of variable pitch axial fan blades. The efficiency of axial fans with variable pitch is controlled by adjustment of blade angle. BTT analysis may lead to incorrect results when ...

Recently, smart system integration was identified as a key competence for optimizing machines and robots. However, when one wants to ’tune’ the entire production process a step further is necessary. We should evaluate performance indicators (e.g. energy and material consumption) over the...

In this paper we present a hybrid neural network augmented physics-based modeling (APBM) framework for Bayesian nonlinear latent space estimation. The proposed APBM strategy allows for model adaptation when new operation conditions come into play or the physics-based model is insufficient (o...

This paper introduces Tiira – an open-source hardware-based Global Navigation Satellite Systems (GNSS) receiver and multi-sensor navigation system. Its unique features include system modularity, an openness of software and hardware designs, signal processing running in dedicated soft-core proces- sors ...

The paper considers the solution to the state estimation problem of nonlinear dynamic stochastic systems by the particle filters. It focuses on the marginal particle filter algorithms which generate samples directly in the marginal space for the recent state. Their standard implementation&#x...

The paper deals with the state estimation of nonlinear stochastic dynamic systems with special attention on a grid-based numerical solution to the Bayesian recursive relations, the point-mass filter (PMF). In the paper, a novel functional decomposition of the transient density describing the...

This paper presents a novel method for partial discharge detection. Generally, the presence of partial discharge in the power grid is unfavorable as it reduces the electricity transmission efficiency and also adversely affects the durability of the line. A partial discharge manifests it...

We introduce a novel fine-grained dataset and bench-mark, the Danish Fungi 2020 (DF20). The dataset, constructed from observations submitted to the Atlas of Danish Fungi, is unique in its taxonomy-accurate class labels, small number of errors, highly unbalanced long-tailed class distribution,...

This paper describes the design of a robust PI controller by considering several design criteria simultaneously (multi-objective optimization). Firstly, all controllers satisfying multiple frequency domain criteria (e.g.&#x...

This paper introduces an integrated approach to calibration and optical measurement processing in the area of robotic 3D vision. The target robotic work-cell consists of a 6-axis industrial manipulator extended by a linear rail and a 2-axis positioner, a color 3D camera and a ...

This article describes a process for modern verification of safety-related I&C (Instrumentation and Control) systems based on algorithm model checking, model-based test case generation and automatic testing. The verification process is compatible with IEC 60880 standard, and utilises methods prese...

This article introduces a newly modified evaluation of a relative position between a profile scanner and a cuboid calibration object, which is used for a hand-eye calibration of the profile scanner as a robot tool. First, the problematic part of the evaluation of the system&#x...

This paper deals with the state estimation of non-linear stochastic dynamic systems with an emphasis on a probability density function approximation used by point-mass filters. Approximation error of the standard point-mass density is analysed and quantified, and a novel point-mass density a...

Magnetic bearings are complex devices with various uses. In addition to rotor support, they can also be used as a contactless active vibration compensator or vibration exciter in the rotordynamic experiments. When testing rotor dynamics, it is necessary to quantify the force acting ...

Structural health monitoring is a fundamental task to evaluate the condition of the structure and ensure an early detection of any material failure. This is important especially in highly stressed parts of a structure. In turbomachinery, it is in particular a rotating blade that&#x...