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Payments for ecosystem services (PES), a mechanism of incentives or compensation to landowners for provision of ecosystem services, have grown as a tool for meeting conservation goals. The Costa Rican payments for ecosystem services (PSA) program is one of the best-known examples because of being one of the most established. Despite this, the PSA program and many other PES programs do not monitor
The city of Milan stands today as a prominent model of sustainable urban development. Yet, beneath its allure lies a paradox: the quest for 'green' and 'smart' development has exacerbated privatization and fueled debates on green gentrification, social equity, and urban accessibility. This research explores the emerging impacts of large-scale green urbanization intervention in the
Efterfrågan av digitala verktyg i skolor har ökat de senaste åren och idag är det enligt Skolverket ett krav att använda digitala verktyg i matematik. Digitala matematiska verktyg kan förse elever med automatisk återkoppling och lärare kan anpassa sitt sätt att undervisa, baserat på elevernas progression. Trots att det finns flera fördelar med att inkludera digitala matematiska verktyg, finns det The demand for digital tools in schools has increased over the years and today it is a requirement from the Swedish National Agency for Education to use digital tools in mathematics. Digital mathematical tools can provide students with automated feedback and teachers can adapt their teaching strategy based on data from their students’ progress. Even though there are multiple advantages of includin
Urban trees are uniquely valuable in towns and cities for the ecosystem services they provide their citizens and can as such be considered a potent source of public goods and positive externalities - even when these trees are found on private properties. The importance of urban trees will only grow as events of severe heat and extreme rainfall become more and more frequent and the urgency to reduc
A numerical model of undertow due to random waves is developed. The model includes three sub-models: (i) a model for multi-directional and multi-frequency random wave transformation, (ii) a surface roller evolution model, and (iii) a model for calculating the vertical distribution and the mean value of the undertow velocity. The calculation of wave trough level is performed based on a theory for t
Inresource-constrained systems, the interference generated by the concurrent execution of multiple controller tasks leads to extra delay and jitter, which degrade control performance and may even jeopardize the stability of the controlled system. This work presents a general methodology that integrates control issues and real-time schedulability analysis to improve the control performance in embed
Estimation-based iterative learning control (ILC) is applied to a parallel kinematic manipulator known as the Gantry-Tau parallel robot. The system represents a control problem where measurements of the controlled variables are not available. The main idea is to use estimates of the controlled variables in the ILC algorithm, and in the paper this approach is evaluated experimentally on the Gantry-
In embedded real-time systems, task priorities are often assigned to meet deadlines. However, in control tasks, a late completion of a task has no catastrophic consequence. Rather, it has a quantifiable impact in the control performance achieved by the task. In this paper, we address the problem of determining the optimal assignment of priorities and periods of sampled-data control tasks that run
This paper analyses the credibility of author anonymity that is provided by a double-blind review process. It is argued that authors have strong incentives to disseminate information about their papers before publication. A sample from two economics journals, both using double-blind review processes, provides evidence that author-revealing information of most accepted papers is available on the In
Autonomic computing systems are capable of adapting their behavior and resources thousands of times a second to automatically decide the best way to accomplish a given goal despite changing environmental conditions and demands. Different decision mechanisms are considered in the literature, but in the vast majority of the cases a single technique is applied to a given instance of the problem. This
While good physiological models of the glucose metabolism in type 1 diabetic patients are well known, their parameterisation is difficult. The high intra-patient variability observed is a further major obstacle. This holds for data-based models too, so that no good patient-specific models are available. Against this background, this paper proposes the use of interval models to cover the different
This paper addresses the out-of-sequence measurement (OOSM) problem for mixed linear/nonlinear state-space models, which is a class of nonlinear models with a tractable, conditionally linear substructure. We develop two novel algorithms that utilize the linear substructure. The first algorithm effectively employs the Rao-Blackwellized particle filtering framework for updating with the OOSMs, and i
We consider the problem of reliable communication over multiple-access channels (MAC) where the channel is driven by an independent and identically distributed state process and the encoders and the decoder are provided with various degrees of asymmetric (noisy or partial) channel state information (CSI). Namely, we provide a single letter characterization for the capacity region when the encoders
Stability of Wardrop equilibria is analyzed for dynamical transportation networks in which the drivers' route choices are influenced by information at multiple temporal and spatial scales. The considered model involves a continuum of nonatomic indistinguishable drivers commuting between a common origin-destination pair in an acyclic transportation network. The drivers' route choices are affected b
Lately, much work in the area of voltage stability assessment has been focused on finding post-contingency corrective controls. In this article a contribution to this area will be presented where we investigate the surface of maximal loadability while allowing for post-contingency corrective controls. This objective is different from the usual, where the aim is to include the post-contingency cont
In this paper we consider the classical problem of finding a low rank approximation of a given matrix. In a least squares sense a closed form solution is available via factorization. However, with additional constraints, or in the presence of missing data, the problem becomes much more difficult. In this paper we show how to efficiently compute the convex envelopes of a class of rank minimization
This paper discusses the significance of physical models in engineering education. Obvious assets, drawbacks and the educational role of such models are discussed, and the idea of 'open physical models' is introduced. A couple of sophisticated open physical models (an unmanned rotorcraft and an inverted pendulum robot), used in control engineering courses, are presented. Basic ideas and concepts,
We propose a structure and motion estimation scheme based on a dynamic systems approach, where states and parameters in a perspective system are estimated. An online method for structure and motion estimation in densely sampled image sequences is presented. The proposed method is based on an extended Kalman filter and a novel parametrization. We derive a dynamic system describing the motion of the
