RaveForce is a programming framework designed for a computational music generation method that involves audio sample level evaluation in symbolic music representation generation. It comprises a Python module and a SuperCollider ...

XTRA (XFSM for Transport) aims at providing a first attempt towards a “code-once-port-everywhere” platform-agnostic programming abstraction tailored to the deployment of transport layer functions. XTRA's programming ...

This work proposes a novel facial expression recognition approach to contribute to better human-machine interactions. To do that, edge features in facial expression images are combined with a recurrent neural network (RNN) ...

Direct integration of Carbon Nanotubes (CNTs) in CMOS is important for commercially manufacturing low-cost CNT-based sensors. In such compact sensors, CNTs would act as sensing element, and CMOS circuits would process ...

The DiffServ Code Point (DSCP) field in the IP header allows to specify a desired per-hop behavior as packets traverse routers. Setting the DSCP field opportunistically, without prior contractual agreement, has recently ...

Software beamforming allows more flexible and complex algorithms, often referred to as adaptive beamforming techniques, that are blurring the boundaries between beamforming and image processing. Many adaptive beamforming ...

To meet the demands of communication‐intensive workloads in the cloud, virtual machines (VMs) should utilize low overhead network communication paradigms. In general, such paradigms enable VMs to directly communicate with ...

Neural methods for sentiment analysis have led to quantitative improvements over previous approaches, but these advances are not always accompanied with a thorough analysis of the qualitative differences. Therefore, it is ...

The GI Working Group“Programming Languages and Computing Concepts” arranges since 1984 each spring a workshop in the the “Physikzentrum Bad Honnef” (a convention centre of the German Physical Society). The meeting serves ...

Expertise in digital technologies is necessary, but rarely sufficient to generate digital innovation. The purpose of this paper is to explore how specialists rooted in digital and analog knowledge domains engage in ...

The usefulness of tabular data such as web tables critically depends on understanding their semantics. This study focuses on column type prediction for tables without any meta data. Unlike traditional lexical matching-based ...

Current state-of-the-art models for sentiment analysis make use of word order either explicitly by pre-training on a language modeling objective or implicitly by using recurrent neural networks (Rnns) or convolutional ...

The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching systems on precisely defined test cases. These test cases can be based on ontologies of different levels of complexity (from simple ...

This paper presents a duty cycle-based, dual-mode simultaneous wireless information and power transceiver (SWIPT) for Internet of Things (IoT) devices in which a sensor node monitors the received power and adaptively ...

We give the first non-interleaving early operational semantics for the pi-calculus which generalises the standard interleaving semantics and unfolds to the stable model of prime event structures. Our starting point is the ...

Peritoneal malignant mesothelioma is a rare disease with a generally poor prognosis and poor response to chemotherapy. To improve survival there is a need for increased molecular understanding of the disease, including ...

Is digital management something else than general management? In this paper we contend that it is, both theoretically and in practice. To develop our argument, we suggest a framework for understanding the particular aspects ...

Heterogeneous mechanical dyskinesis has been implicated in many arrhythmogenic phenotypes. Strain-dependent perturbations to cardiomyocyte electrophysiology may contribute to this arrhythmogenesis through processes referred ...

Graph-based representations are considered to be the future for reference genomes, as they allow integrated representation of the steadily increasing data on individual variation. Currently available tools allow de novo ...

Concurrent programs often make use of futures, handles to the results of asynchronous operations. Futures provide means to communicate not yet computed results, and simplify the implementation of operations that synchronise ...

This paper presents a morphological analysis of fibrotic scarring in non-ischemic dilated cardiomyopathy, and its relationship to electrical instabilities which underlie reentrant arrhythmias. Two dimensional electrophysiological ...

Underwater acoustic communication or localization systems can be affected by the Doppler effect when the receiver or emitter is in motion. In those cases, the use of an a appropiate encoding/modulating scheme play a pivotal ...

We have surveyed 191 prospectively sampled familial cancer patients with no previously detected pathogenic variant in the BRCA1/2, PTEN, TP53 or DNA mismatch repair genes. In all, 138 breast cancer (BC) cases, 34 colorectal ...

We introduce a machine learning technique to autonomously generate novel melodies that are variations of an arbitrary base melody. These are produced by a neural network that ensures that (with high probability) the melodic ...

User validation is one of the challenges facing the ontology alignment community, as there are limits to the quality of the alignments produced by automated alignment algorithms. In this paper, we present a broad study on ...

Modern workloads often exceed the processing and I/O capabilities provided by resource virtualization, requiring direct access to the physical hardware in order to reduce latency and computing overhead. For computers ...

This paper describes an evaluation of five data-driven part-of-speech (PoS) taggers for spoken Norwegian. The taggers all rely on different machine learning mechanisms: decision trees, hidden Markov models (HMMs), conditional ...

Ontology-based knowledge bases (KBs) like DBpedia are very valuable resources, but their usefulness and usability are limited by various quality issues. One such issue is the use of string literals instead of semantically ...

We present the participation of LogMap and its variants in the OAEI 2019 campaign. The LogMap project started in January 2011 with the objective of developing a scalable and logic-based ontology matching system. This is ...

The Round-Trip Time (RTT) is a property of the path between a sender and a receiver communicating with Transmission Control Protocol (TCP) over an IP network and over the public Internet. The end-to-end RTT value influences ...

3D Transesophageal Echocardiography is an excellent tool for evaluating the mitral valve and is also well suited for guiding cardiac interventions. We introduce a fully automatic method for mitral annulus segmentation in ...

The Gasterosteidae fish family hosts several species that are important models for eco-evolutionary, genetic and genomic research. In particular, a wealth of genetic and genomic data has been generated for the three-spined ...

Enterprise Architecture Management (EAM) aims to deal with the complexities of information technology (IT) solutions and to achieve more organizational agility. EAM is a holistic approach to IT architecture, but the results ...

We present results and comparative analysis on the prediction of sensor events in a smart home environment with a limited number of binary sensors. We apply two probabilistic methods, namely Sequence Prediction via Enhanced ...

Health information systems (HIS) in developing countries constantly face human resource-related issues such as low capacity and high staff turn-over. When combined with high national demands, it is even more difficult to ...

Introduction: Help at birth is one of the historically oldest volunteers supports that a woman has offered to another woman. One of the reasons for high maternal and infant mortality was identified as a lack of basic medical ...

Large-scale software development is increasingly making use of agile practices. In large-scale projects, a team needs to align with other teams and the rest of the organization. This has been shown to threaten team autonomy, ...

We introduce Dynamic Structural Operational Semantics (DSOS or Dynamic SOS) as a framework for describing semantics of programming languages that include dynamic software upgrades, i.e., for upgrading software code during ...

A miniaturized accelerometer attached to the heart has been used for monitoring functional parameters such as early systolic velocity and displacement. Currently, processing of the accelerometer signal for derival of these ...

Mathematical models describing the dynamics of the cardiac action potential are of great value for understanding how changes to the system can disrupt the normal electrical activity of cells and tissue in the heart. However, ...

Background During pancreatitis, autophagy is activated, but lysosomal degradation of dysfunctional organelles including mitochondria is impaired, resulting in acinar cell death. Retrospective cohort analyses demonstrated ...

Sampling-based motion planning is a powerful tool in solving the motion planning problem for a variety of different robotic platforms. As its application domains grow, more complicated planning problems arise that challenge ...

Recently, the advancement in communications, intelligent transportation systems, and computational systems has opened up new opportunities for intelligent traffic safety, comfort, and efficiency solutions. Artificial ...

Background The response rate to cardiac resynchronization therapy (CRT) may be improved if echocardiographic‐derived parameters are used to guide the left ventricular (LV) lead deployment. Tools to visually integrate ...

Evaluation of student projects by students themselves is highlighted in research as a method to engage the students, and to strengthen their learning and meta-cognition. Assessing others students' achievements can be a way ...

This study was conducted in a first year university course in computer programming. We investigated how the use of a digital assessment tool, consisting of quantitative weighting and which simultaneously generate qualitative ...

Background:Studies on the relationship between carotid atherosclerosis and cognitive function in subjects from the general population are few and results have been inconsistent. Objective:We aimed to investigate the ...

Agile practices are popular within software development. But when applied to large projects with many teams, coordination challenges arise. The projects working title “Coordination in large-scale agile software development: ...

In recent years, wired industrial networks has shifted towards Wireless Sensor Networks (WSN). Utilizing WSNs attract interest by various industries as it can provide real time measurements in a cost effective way. Next, ...

Proximity service (ProSe), using the geographic location and device information by considering the proximity of mobile devices, enriches the services we use to interact with people and things around us. ProSe has been used ...

Although e-health is an area recognized as essential in the rapid development of healthcare systems in low resource contexts, many challenges prevent the emergence of an effective e-health ecosystem. Lack in capacity around ...

We propose a novel procedure for solving the Deconvolution Approach to the Mapping of Acoustic Sources (DAMAS) inverse problem. The proposed procedure is a two-stage, hybrid greedy/non-greedy algorithm based on orthogonal ...

General purpose operating systems are widely in use for running many different applications on a big selection of hardware. Such an operating system must be quite complete in order to provide virtual memory, scheduling, ...

The widespread adoption of mobile devices, such as smartphones and tablets, has made touchscreens a common interface for musical performance. While new mobile music instrument have been investigated from design and user ...

We measure the intensity of diachronic semantic shifts in adjectives in English, Norwegian and Russian across 5 decades. This is done in order to test the hypothesis that evaluative adjectives are more prone to temporal ...

We extend the well-known word analogy task to a one-to-X formulation, including one-to-none cases, when no correct answer exists. The task is cast as a relation discovery problem and applied to historical armed conflicts ...

There is no consensus on the definition of an exaggerated increase in systolic blood pressure (SBP) during exercise. The aim was to explore a potential threshold for exercise SBP associated with increased risk of coronary ...

Background Information technology has transformed the way healthcare is conducted. There is a deluge of patient data dispersed in different systems that are commonly not interoperable. As a result, access ...

Background Recent epidemiological evidence shows that colorectal cancer (CRC) continues to occur in carriers of pathogenic mismatch repair (path_MMR) variants despite frequent colonoscopy surveillance in ...

In this thesis, I have written a program in the Emerald programming language, that maps out the internet nodes of the network where the Emerald program is running. The program replicates itself onto all available nodes and ...

Constraints have traditionally been used to ensure data quality. Recently, several constraint languages such as SHACL, as well as mechanisms for constraint validation, have been proposed for Knowledge Graphs (KGs). KGs are ...

The notion of autonomous teams is core to agile software development. However, autonomy in agile teams is challenged by increasingly complex software projects, large-scale agile and perhaps increasingly multidisciplinary ...

The connection method has earned good reputation in the area of automated theorem proving, due to its simplicity, efficiency and rational use of memory. This method has been applied recently in automatic provers that reason ...

Frequent testing of the Linux kernel is important to keep quality high. There are several tools and frameworks available for testing in user space. However, the support for unit testing in kernel space is lacking. Test ...

Over the past decades a number of benefits realisation (BR) frameworks have been developed. The benefits management model (BMM) is considered to be the most widely adopted and is often seen as a reference for good practice ...

Thanks to the popularity of mobile devices numerous location-based services (LBS) have emerged. While several privacy-preserving solutions for LBS have been proposed, most of these solutions do not consider the fact that ...

The formal evaluation of new interfaces for musical expression (NIMEs) in their use by ensembles of musicians is a challenging problem in human-computer interaction (HCI). NIMEs are designed to support creative expressions ...

We study perfusion by a multiscale model coupling diffusion in the tissue and diffusion along the one-dimensional segments representing the vasculature. We propose a block-diagonal preconditioner for the model equations ...

Automatic polyp detection and segmentation are highly desirable for colon screening due to polyp miss rate by physicians during colonoscopy, which is about 25%. However, this computerization is still an unsolved problem ...

Most patients whose large bowel cancer has spread to other organs do not respond to immune therapy. We detected a rare gene mutation, termed 9p24.1 copy-number gain (CNG), in an otherwise incurable colorectal cancer that ...

We study evolutionary robot systems where not only the robot brains but also the robot bodies are evolvable. Such systems need to include a learning period right after ‘birth’ to acquire a controller that fits the newly ...

Service Level Agreements (SLA) are commonly used to specify the quality attributes between cloud service providers and the customers. A violation of SLAs can result in high penalties. To allow the analysis of SLA compliance ...

Introduction: In liver surgery, medical images from pre-operative computed tomography and magnetic resonance imaging are the basis for the decision-making process. These images are used in surgery planning and guidance, ...

A blockchain is a distributed ledger comprised of practically unchange- able, digital recorded data in packages called blocks. Each block in the chain contains data and is cryptographically hashed. The blocks of hashed ...

Conventional surgical navigation systems rely on preoperative imaging to provide guidance. In laparoscopic liver surgery, insufflation of the abdomen (pneumoperitoneum) can cause deformations on the liver, introducing ...

Previous studies have shown that miniaturised accelerometers can be used to monitor cardiac function and automatically detect ischemic events. However, accelerometers cannot differentiate between acceleration due to motion ...

This thesis explores preschool children’s interaction with a conversational agent (CA), and we position this work within the field of Human-Computer Interaction (HCI). Through a preliminary case study, we explored children ...

Recently, personal privacy has increasingly started coming to people's attention, as we are digitally more connected to each other. The development of new mobile products connected to the Internet are starting to take a ...

The rapid increase in the number of processors demands quicker and more reliant data availability to avoid extensive memory accesses. Caches hierarchies are most important in an efficient n-core system. However, more ...

In the search for new technologies to assist the fish industry in the fight against diseases, computer vision is playing an essential role. The ability to automatically detect and inspect fish through a camera lens opens ...

The use of technology to address mental health among youth in Norway is gaining traction, with many measures being implemented from the public sphere. Literature claims that peer-support can help alleviate some of the ...

In traditional networks, a dedicated piece of hardware is configured and installed for every single network function. A network function represents any hardware appliance in the network that has network-level functionality, ...

The latest technical and interaction advancements within the virtual reality (VR) field have marked a new era, not only for VR, but also for VR locomotion. In this era, well-established, prevalent VR locomotion techniques ...

The drum-like virtual reality (VR) keyboard is a contemporary, controller-based interface for text input in VR that uses a drum set metaphor. The controllers are used as sticks which, through downward movements, “press” ...

This thesis is about the analysis of capacity levels around health information use based on a district-level case study from Nepal. Well capacitated workforce can make better use of Health Information System (HIS) and ...

Gene expression profiling has increasing relevance in the molecular screening of patients with colorectal cancer (CRC). We investigated potential platform-specific effects on transcriptomic subtyping according to established ...

This thesis explores strength exercising and learning of bodily skills as a field that can be augmented through introducing digital sensory artefacts, that aim to alter the way the performance is perceived. Using feedback ...