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Predicting Nocturnal Hypoglycemia Using a Non-Parametric Insulin Action Model

Nocturnal hypoglycemia is a common and potentially very dangerous condition facing persons with insulin-treated diabetes. To reduce the risk of going low while sleeping, many patient wilfully elevate their glucose level before bedtime, thereby also eroding the conditions for a sound glucose control for the next day. Recent advances in sensor technology allow for real-time frequent monitoring of th

Extending Languages by Leveraging Compilers: from Modelica to Optimica

Combining attribute grammars with object-oriented programming supports a new kind of declarative programming, allowing compilers to be built in a highly extensible manner. By leveraging a base compiler, extended languages can be supported at a relatively low cost. Recent work shows the applicability of the technique to general-purpose programming languages like Java. In this article, we illustrate

Equivalent circuit based calculation of signal correlation in lossy MIMO antennas

Correlation coefficient of received signals across a pair of antennas is a key performance indicator for multiple-input multiple-output (MIMO) systems. For multipath environments with uniform 3D angular power spectrum, the signal correlation between two antennas can be exactly calculated from their 3D radiation patterns. When radiation patterns are unavailable, a simplified approach that only requ

Remote supervision of an autonomous surface vehicle using virtual reality

We compared three different Graphical User Interfaces (GUI) that we have designed and implemented to enable human supervision of an Autonomous Surface Vehicle (ASV). Special attention has been paid to provide tools for a safe navigation and giving the user a good overall understanding of the surrounding world while keeping the cognitive load at a low level. Our findings indicate that a GUI in 3D,

A 70 pJ/b Configurable 64-QAM Soft MIMO Detector

An area and power efficient high-throughput VLSI implementation of a 4 × 4, 64-QAM soft multiple-input-multiple-output (MIMO) detector, that is suitable for high-order constellation schemes is presented. The proposed MIMO detector utilizes information contained in the discarded paths to improve the bit-error-rate (BER) performance, and then reduces computational complexity using three innovative i

Antenna design challenges and solutions for compact MIMO terminals

The design of antennas for compact multiple-input multiple-output (MIMO) terminals is a challenging feat, due to the space constraint and the physical structure of the terminal. The space constraint forces the antennas to be closely spaced, which degrades MIMO performance due to high signal correlation and low antenna efficiency. Moreover, the terminals are equipped with ground planes which furthe

Angle and polarization diversity in compact dual-antenna terminals with chassis excitation

For multiple antennas on a compact terminal chassis, chassis current excitation can severely increase mutual coupling between the antennas. This is because the same characteristic mode of the chassis may be strongly excited by more than one antenna. Here, we propose to use one antenna that exploits chassis excitation and introduce a second antenna that minimizes chassis excitation. In this way, an

Optimal multiple antenna design for compact MIMO terminals with ground plane excitation

The compactness of mobile terminals complicates the design of multiple antennas, since coupling among the antennas increases when they are placed in proximity of one another. While it is possible to mitigate coupling between closely spaced antennas, a tradeoff in bandwidth is required. In this paper, we highlight ground plane excitation as an additional dimension to consider in the design of multi

Career preparation in doctoral education at the departmental level

Traditionally, doctoral education is designed to train students to become skilled researchers in their respective disciplines. In many cases, however, doctoral graduates find themselves ill-prepared for their career choices. In this paper, we adopt a systematic approach to study the career preparation aspect of doctoral study in our home department. Our findings reveal several shortcomings in the

Diversity mechanisms and MIMO throughput performance of a compact six-port dielectric resonator antenna array

This paper demonstrates multiple-input-multiple-output (MIMO) throughput performance of a six-port dielectric resonator antenna (DRA) array for Wireless-LAN applications in a measured indoor office environment when a six-port dual-polarized patch array is used at the transmitter. The throughput was obtained using an IEEE802.11n/Draft 5.00 simulator for measured channels with different antenna and

Downlink cooperative MIMO in urban macrocell environments

In this paper, we study the potential benefits of downlink cooperative MIMO systems in cellular macrocell environments using a coherent measurement setup. Our results reveal that one of the two measured routes can leverage comparable signal strengths from the cooperating base stations to the mobile station and provide up to two-fold single user bitrate gain at the 50% cumulative probability level

Preparation and culturing of human primary vascular cells

Cerebral amyloid angiopathy (CAA) results from amyloid accumulation within arteries of the cerebral cortex and leptomeninges. This condition is age-related, especially prevalent in Alzheimer’s disease (AD), and the main feature of certain hereditary disorders (i.e., HCHWA-I). The vascular smooth muscle cells (VSMCs) appear to play a vital role in the development of CAA, which makes them well suite

Towards Mission-Critical Control at the Edge and Over 5G

With the emergence of industrial IoT and cloud computing, and the advent of 5G and edge clouds, there are ambitious expectations on elasticity, economies of scale, and fast time to market for demanding use cases in the next generation of ICT networks. Responsiveness and reliability of wireless communication links and services in the cloud are set to improve significantly as the concept of edge clo

Ontology-Based Knowledge Representation for Increased Skill Reusability in Industrial Robots

We assume that an intuitive means for the specification, re-use, modification and transfer of synchronized motions-both regarding the two arms of a dual-arm robotic system, as well as regarding the coordination of a user and a robot-is key in interactive and collaborative settings as they are currently targeted for industrial applications. We show, how our knowledge based approach to end-user prog

Long-Term Accuracy in Sea Navigation without using GNSS Systems

Many ships today rely on Global Navigation Satellite System (GNSS), for their navigation, where GPS (Global Positioning System) is the most well known. Unfortunately, the GNSS systems make the ships dependent on external systems, which can be malfunctioning, be jammed or be spoofed. There are today some proposed techniques where, e.g. bottom depth measurements are compared with known maps using Ba

Quality Requirements for Code : On the Untapped Potential in Maintainability Specifications

Quality requirements are critical for successful software engineering, with maintainability being a key internal quality. Despite significant attention in software metrics research, maintainability has attracted surprisingly little focus in the Requirements Engineering (RE) community. This position paper proposes a synergistic approach, combining code-oriented research with RE expertise, to create

Property Probes: Live Exploration of Source Code Analysis

Source code analysis is ubiquitous in the development of software tools, for example in compilers to detect compile-time errors and possible optimizations, inIDEs to provide interactive coding assistance, and in stand-alone analysis tools todetect bugs. There are several techniques that have been developed to help theanalysis developer, including one called Reference Attribute Grammars (RAGs).With

Navigating the Future — Machine Learning for Wireless Sensing and Localization

Cellular-based localization and sensing pave the way for a variety ofapplications across various domains, ranging from autonomous driv-ing to emergency care and intelligent traffic management. Althoughtraditional methods have been effective, they still face challenges such as therequirement for highly accurate models and the inherent complexity of thealgorithms. This thesis explores the potential