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Victim blaming is a harmful but quite pervasive phenomenon occurring in contemporary societies. When people engage in victim blaming, they shift the burden of the harmful act from the perpetrators and place it upon the victims instead. This article explores how the discourse on moral responsibility can help make sense of victim blaming. The distinction between moral responsibility and blameworthin
Robots operating in real-world settings must manage task variability, environmental uncertainty, and failures during execution. This thesis presents a unified framework for building self-reliant robotic systems by integrating symbolic planning, reinforcement learning, behavior trees (BTs), and vision-language models (VLMs).At the core of the approach is an interpretable policy representation based
The aim of this thesis is to make it simple and efficient to produce applications for smartphones. The main area of application is within the health care sector, where alarm receiving devices are needed to inform personnel of pending situations. Most medical alarm systems are unique and hence require a unique GUI (Graphical User Interface). However, at the core, the main functionality is to commun
Microcontrollers have become an integral part of modern everyday embedded systems, such as smart bikes, cars, and drones. Typically, microcontrollers operate under real-time constraints, which require the timely execution of programs on the resource-constrained hardware. As embedded systems are becoming increasingly more complex, microcontrollers run the risk of violating their timing constraints,
This paper proposes a ‘tool for thinking with’: that we can describe the interaction between people and computers, and especially people and developer tools, as a form of conversation. We outline this perspective, construct a work in progress analytical frame, and use it to talk about a couple of different examples and draw implications for future work.
Reliability in Ricean multiple-input-multiple-output (MIMO) channels is crucial for safety related vehicle-tovehicle (V2V) applications. Due to the time variability of vehicular communication channel, it is very significant to study the temporal evolution of channel characterization criteria. We present evaluation results of the temporal evolution of the spectral efficiency from channel sounder me
The COST2100 channel model is a reference channel model which provides dynamic multiple-input multiple-output channel responses for radio system simulations. In this paper, channels created by the COST2100 model were compared to channel measurements in order to understand behaviours of the model. Model parameters of the COST2100 model were derived by dynamic double-directional channel measurements
This paper presents delay spread, coherence bandwidth, and angle-of-arrival statistics derived from an extensive MIMO channel measurement campaign carried out at a central frequency of 2.6GHz. The measurement scenarios include indoor-indoor, indoor-outdoor and indoor-outdoor-indoor. The results are useful for analytical and performance studies of post-3G wireless communication systems such as femt
Asylum-seekers, like any population, need healthcare services, yet national laws sometimes restrict access to such services. The European Social Charter (revised) protects the right to health and medical services. However, the Charter has a complex application, and its scope is limited concerning foreigners. This article analyses to what extent the provisions of the Charter on the right to health
The harmonic oscillator is a truly irreplaceable as well as ubiquitous analog integrated circuit. Starting from the basics of its CMOS implementation, we will discuss the phase noise of the harmonic oscillator in some detail, where the intrinsic large-signal operation mandates a time-variant analysis. This will be followed by a survey of the most popular design techniques enabling a low phase nois
Connected Autonomous Vehicles (AVs) with Vehicle-to-Vehicle (V2V) communication are becoming an essential component of the transportation system. Self-driving cars have the potential to optimize the roads' traffic flow, fuel consumption and remove the possibility of human error and distractions. In these systems, all involved vehicles must be fully autonomous for maximum gain. However, a fully aut
A convex optimization framework over contrast current density is developed to calculate fundamental bounds on the performance of linear passive cloaks. The formulation uses the method of moments applied to the electric field integral equation while using extincted power as the optimized metric. The presented results show that high cloaking efficiency requires cloaks made of low-loss and high-contr
This paper presents INTRACFG, a declarative and language-independent framework for constructing precise intraprocedural control-flow graphs (CFGs) based on the reference attribute grammar system JastAdd. Unlike most other frameworks, which build CFGs on an Intermediate Representation level, e.g., bytecode, our approach superimposes the CFGs on the Abstract Syntax Tree, enabling accurate client ana
Properties of the Grain-128AEAD key re-introduction, as part of the cipher initialization, are analyzed and discussed. We consider and analyze several possible alternatives for key re-introduction and identify weaknesses, or potential weaknesses, in them. Our results show that it seems favorable to separate the state initialization, the key re-introduction, and the A/R register initialization into
Weaknesses in the Grain-128AEAD key re-introduction, as part of thecipher initialization, are analyzed and discussed. We consider and analyzeseveral possible alternatives for key re-introduction and identify weaknesses, or potential weaknesses, in them. Our results show that it seemsfavorable to separate the state initialization, the key re-introduction, andthe A/R register initialization into thr
Although it is vital for organizations to learn in order to be competitive, efficient, and innovative, it is one of the profound organizational dilemmas: organizations understand and have learnt that it is important to learn and yet it is difficult to ensure organizational learning. This is a personal and reflexive note about what I have learnt from research and practice about various attempts to
In this article, we study the ongoing redevelopment of post-war, modernist residential area Rosengård, located in Sweden’s third biggest city Malmö. We show how a planning and design strategy for this area has come to focus on a ‘compact city’ typology in line with Malmö’s strategy for creating a ‘near, dense, green and mixed city’. Such compact city typology emphasizes high density, urbanity, pro
Open Government Data (OGD) is an important driver for open innovation among public entities. However, extant research highlights a need for improved feedback loops, collaboration, and a more demand-driven publication of OGD. In this study, we explore how public platform providers can address this issue by enabling collaboration within OGD ecosystems, both in terms of the OGD, and any related Open
