The challenge addressed in this paper consists in offloading packet-based pacing to a hardware Network Interface Card, while retaining the flexibility of software timers. In this direction, we propose, design, implement, ...

We use dependency triples automatically extracted from a Web-scale corpus to perform unsupervised semantic frame induction. We cast the frame induction problem as a triclustering problem that is a generalization of clustering ...

Identity today has become a complex issue. An average user of the Internet has accounts on several services, and several traces of use are gathered by large companies. However, the same companies are using Artificial ...

Recent years have witnessed a surge of publications aimed at tracing temporal changes in lexical semantics using distributional methods, particularly prediction-based word embedding models. However, this vein of research ...

Privacy is often applied as an abstract concept in law and regulations. In everyday life, negotiating what information to share with whom, where, and at what times, and in what situations may be a challenge at home and in ...

—Communication technology improvements have inspired the idea of connecting almost every things to the Internet: from home appliances, medical devices, and cars, to large infrastructures. A unified and secure network of ...

A robot moving in the home is a new experience for most people. Classifying the different ways that humans and robots move together can help in designing interactions. In this paper, we first put robots’ movements into two ...

One of the primary characteristics of robots is the ability to move autonomously in the same space as humans. In what ways does movement influence the interaction between humans and robot? In this paper, we examine how ...

The elderly in the future will use smart house technology, sensors, and robots to stay at home longer. Privacy at home for these elderly is important. In this exploratory paper, we examine different understandings of privacy ...

Computer networks research has been notoriously bad at reproducibility – a key aspect of making research results credible and convincing. This has been attributed to a lack of incentive for researchers to share the data ...

While it is generally accepted that patient centred care should be the guiding principle for the delivery of health services, it is not yet clear how this should be digitalised. What is clear, however, is that the current ...

Communication between two Internet hosts using parallel connections may result in unwanted interference between the connections. In this dissertation, we propose a sender-side solution to address this problem by letting ...

A significant problem of using deep learning techniques is the limited amount of data available for training. There are some datasets available for the popular problems like item recognition and classification or self-driving ...

In a recent study we have encountered an unexpected result regarding the evolutionary exploration of robot morphology spaces. Specifically, we found that an algorithm driven by selection based on morphological novelty ...

This paper presents a case of co-design for people with rheumatic disorder to support the argument of opening up the design space to include interaction opportunities found in the physical world. The position argued for ...

This paper is concerned with the problem of overconsumption and opportunities to create alternative marketplaces that could ease the transition towards less, and different ways of consuming in everyday life. We argue that ...

For robots to handle the numerous factors that can afect them in the real world, they must adapt to changes and unexpected events. Evolutionary robotics tries to solve some of these issues by automatically optimizing a ...

Recent strategic design and management discourse has identified gaps in the current framing of design for organisations, specifically highlighting a lack of discussions related to emergent design cultures and calling for ...

Concerns have been raised regarding the economical viability for each operator to have a full regional 5G coverage. A possible solution is to have traffic offloaded to competitors. In this work we present a new scheme for ...

Energy usage in LTE base stations are driven by spectral efficiency and traffic. To predict the energy usage these parameters must be forecasted. In this work we analyse hourly measurements collected from more than 12000 ...

In this paper, we examine the role of IT in process innovations related to patient flow from emergency care admission, through subsequent patient transfers, and discharge. In particular, we explore how digital technology ...

In this work, we study different types of uncertainty in subjective opinions based on the internal belief mass distribution and the base rate distribution. Subjective opinions which are used as arguments in subjective logic ...

Secure software development represents a fundamental part of ‘security by design’ which in turn is a prerequisite for ‘privacy by design’ in the terminology of GDPR (General Data Protection Regulation). To follow and adhere ...

This paper explores the role of design and use of digital feedback mechanisms in domestic autonomous devices. We explore this in relation to elderly’s trust towards robots. Specifically, the paper reflects on a case study ...

The elderly in the future will use smart house technology, sensors, and robots to stay at home longer. Privacy at home for these elderly is important. In this exploratory paper, we examine different understandings of privacy ...

Obstructive Sleep Apnea (OSA) is a common, but severely under- diagnosed sleep disorder characterized by recurring periods of shallow or paused breathing during sleep. It is our long-term goal to allow people to perform ...

Evaluation of Distributed Complex Event Processing (CEP) systems is a rather challenging task. To simplify this task, we developed the open simulation framework for Distributed CEP, called DCEP-Sim. The goal of this tutorial ...

This paper presents the Norwegian Review Corpus (NoReC), created for training and evaluating models for document-level sentiment analysis. The full-text reviews have been collected from major Norwegian news sources and ...

We present ctrlTCP, a method to combine the congestion controls of multiple TCP connections. In contrast to the previous methods such as the Congestion Manager, ctrlTCP can couple all TCP flows that leave one sender, ...

In this paper, we empirically evaluate the utility of transfer and multi-task learning on a challenging semantic classification task: semantic interpretation of noun--noun compounds. Through a comprehensive series of ...

Many works in collaborative robotics and human-robot interaction focuses on identifying and predicting human behaviour while considering the information about the robot itself as given. This can be the case when sensors ...

The field of collaborative robotics and humanrobot interaction often focuses on the prediction of human behaviour, while assuming the information about the robot setup and configuration being known. This is often the case ...

One of the core functions in most Evolutionary Algorithms is mutation. In complex search spaces, which are common in Evolutionary Robotics, mutation is often used both for optimizing existing solutions, described as ...

This paper is a reflective paper discussing fear, and the emotions associated with it, felt by the elderly while using modern technologies. The pattern of fear emerged from our initial research activities. The preliminary ...

Various narrative methods have been used in Human-Computer Interaction field (HCI), such as digital storytelling, and co-construction of stories. In this position paper, we shed light on the Story-Dialogue Method (SDM) ...

Architectural technical debt can have a huge impact on software maintainability and evolution. Hence, different architectural violations, detected as architectural smells, need to be identified and refactored. In this ...

Software startups are typically under extreme pressure to get to market quickly with limited resources and high uncertainty. This pressure and uncertainty is likely to cause startups to accumulate technical debt as they ...

We illustrate in this paper some of the negative emotions experienced by students when interacting with digital systems in learning situations, where there is a lack of feedback, or the interaction with digital systems is ...

This paper investigates the evolution of modular robots using different selection preferences (i.e., fitness functions), aiming at novelty, speed of locomotion, number of limbs, and com- binations of these. The outcomes ...

We identify a number of decidable and undecidable fragments of first-order concatenation theory. We also give a purely universal axiomatization which is complete for the fragments we identify. Furthermore, we prove some ...

As the application domains of sampling-based motion planning grow, more complicated planning problems arise that challenge the functionality of these planners. One of the main challenges in the implementation of a ...

Long Short-Term Memory (LSTM) neural networks are a state-of-the-art techniques when it comes to sequence learning and time series prediction models. In this paper, we have used LSTM-based Recurrent Neural Networks (RNN) ...