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Stochastic Theory of Continuous-Time State-Space Identification

Presents theory, algorithms and validation results for system identification of continuous-time state-space models from finite input-output sample sequences. The algorithms developed are methods of subspace model identification and stochastic realization adapted to the continuous-time context. The resulting model can be decomposed into an input-output model and a stochastic innovations model. Usin

Stop-and-Go Controller for Adaptive Cruise Control

In the field of vehicle control, conventional cruise control systems have been available on the market for many years. During the last years, modern cars include more and more electronic systems. These systems are often governed by a computer or a network of computers programmed with powerful software. One of those new services is adaptive cruise control (ACC) (or autonomous intelligent cruise con

Evaluation of human body tracking system for gesture-based programming of industrial robots

Is low-cost tracking precise enough for recognition of pointing actions? We investigate the quality of the human body tracking available with a Kinect camera by comparing it to a state-of-the-art motion capture system. The application is action recognition with parametric hidden Markov Models (PHMMs) for programming industrial robots. The data from the Kinect is overall more noisy and potentially

I AM A.I. Gradient Descent - an Open-Source Digital Game for Inquiry-Based CLIL Learning

We present an interactive online workshop for K-12 students, which aims in familiarizing students with core concepts of AI. The workshop consists of a variety of resources, inspired by inquiry-based learning techniques, of which we present in detail one module, centered around a browser-based game called “Gradient Descent”. This module introduces the mathematical concepts behind a gradient descent

First commissioning results of phase i insertion devices at MAX IV Laboratory

An overview of the insertion devices (ID) activities at MAX IV Laboratory will be presented. This paper describes the current status of the MAX IV insertion devices and the first commissioning results of some of the first 12 IDs installed at the three accelerators in MAX IV laboratory. The IDs are two Elliptically Polarizing Undulators (EPU), two In-Vacuum Undulators (IVU) and one In-vacuum wiggle

A general control-theoretical methodology for runtime resource allocation in computing systems

Control theory is emerging as a source of solutions for many problems in the computing systems domain, and in particular for resource allocation. However, the techniques proposed to date in the literature, do not successfully address the difficulty of devising allocation schemes that are general enough, provide stability guarantees, and can be parametrised and managed by system administrators, or

Is Water and Sanitation a Problem in Sweden?

Is Water and Sanitation a Problem in Sweden? Skip to content Search for: Search Button Home About Us Who We Are Our History About Raoul Wallenberg Our Theory of Change Staff Opportunities Annual Reports Whistleblower Our work What we do Multi-Disciplinary Research Higher Education Strategic Advice and Analysis Outreach Evaluation of Programme Work Methods Focus Areas Business and Human Rights Inte

https://rwi.lu.se/2015/10/02/local-challenges-in-providing-a-right-to-water/ - 2026-05-31

Solar Energy Conversion - Natural to Artificial

Photosynthesis is the process by which energy of light is converted into chemical energy by plants, algae and photosynthetic bacteria. For this, highly specialized pigment-proteins have evolved that capture the light and transform the short-lived excited states of pigment molecules into a stable transmembrane potential. By close scrutiny of organization and processes of the photosynthetic pigment

A case study of the class firewall regression test selection technique on a large scale distributed software system

Regression testing is expensive and may consume much of organizations’ software development budgets. Thus, it is of interest to reduce the total time devoted to test execution by using test selection techniques. Many techniques have been proposed but few have been evaluated on real-world, large scale systems. In this paper we report on an empirical evaluation of using the class firewall regression

Social Motivations and Goal Orientations with a Teachable Agent: Implications for Improving Test Performance

A recent study of ours suggested that the very presence of a Teachable Agent (TA) from a mathematics learning game might affect students’ test performance when the TA reappeared in the margin of a regular, digital math test. We hypothesized that this effect, which seemed to particularly target low-achievers, was due to the students’ mindset changing from that of “taking a test” to that of “teachin