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Stored Energies and Q-factor expressed in Material derivatives

Stored energies of radiating systems have generated research interest for several decades due to their relationship with Q-factor and fractional bandwidth. In this paper material derivatives are used to provide a new interpretation of widely used stored energy expressions. This provides a fundamental relationship between stored energies of radiating systems and their electromagnetic material prope

Hygiene may attenuate selection for antibiotic resistance by changing microbial community structure

Good hygiene, in both health care and the community, is central to containing the rise of antibiotic resistance, as well as to infection control more generally. But despite the well-known importance, the ecological mechanisms by which hygiene (or other transmission control measures) affect the evolution of resistance remain to be elucidated. Using metacommunity ecology theory, we here propose that

An empirically based model of software prototyping : a mapping study and a multi-case study

Context: Prototyping is an established practice within product and user interface design that is also used as a requirements engineering (RE) practice within agile development. Even so, there is a lack of theory on prototyping.Aims: Our main research objective is to support practitioners in improving on their prototyping practices.Method: We have designed a model that describes key aspects of the

Software selection in large-scale software engineering: A model and criteria based on interactive rapid reviews

Context: Software selection in large-scale software development continues to be ad hoc and ill-structured. Previous proposals for software component selection tend to be technology-specific and/or do not consider business or ecosystem concerns.Objective: Our main aim is to develop an industrially relevant technology-agnostic method that can support practitioners in making informed decisions when s

High-Resolution Channel Sounding and Parameter Estimation in Multi-Site Cellular Networks

Understanding of electromagnetic propagation properties in real environments is necessary for efficient design and deployment of cellular systems. In this paper, we show a method to estimate high-resolution channel parameters with a massive antenna array in real network deployments. An antenna array mounted on a vehicle is used to receive downlink long-term evolution (LTE) reference signals from n

Extended FastSLAM Using Cellular Multipath Component Delays and Angular Information

Opportunistic navigation using cellular signals is appealing for scenarios where other navigation technologies face challenges. In this paper, long-term evolution (LTE) downlink signals from two neighboring commercial base stations (BS) are received by a massive antenna array mounted on a passenger vehicle. Multipath component (MPC) delays and angle-of-arrival (AOA) extracted from the received sig

Propagation Modeling for Physically Large Arrays: Measurements and Multipath Component Visibility

This paper deals with propagation and channel modeling for physically large arrays. The focus lies on acquiring a spatially consistent model, which is essential, especially for positioning and sensing applications. Ultra-wideband, synthetic array measurement data have been acquired with large positioning devices to support this research. We present a modified multipath channel model that accounts

EzSkiROS: A Case Study on Embedded Robotics DSLs to Catch Bugs Early

When we develop general-purpose robot software components, we rarely know the full context that they will execute in. This limits our ability to make predictions, including our ability to detect program bugs early. Since running a robot is an expensive task, finding errors at runtime can prolong the debugging loop or even cause safety hazards. In this paper, we propose an approach to help develope

Industry-academia collaboration for realism in software engineering research : Insights and recommendations

Context: Effective industry-academia collaboration may increase software engineering research relevance by increased realism, yet very challenging for reasons like confidentiality concerns, different objectives and priorities. Objective: We analyse industry-academia collaboration scenarios based on our own experiences as Ph.D. student and supervisor, and provide insights and recommendations to fac

Degrees of Freedom and Characteristic Modes

The number of degrees of freedom is a crucial parameter in many electromagnetic problems. In for example modern communication systems spatial diversity is often employed through multiple beams to enhance capacity and reliability. However, while the degrees of freedom can be computed, their connection to physical quantities is not as easily understood. To address this issue, this paper proposes a s

Large Intelligent Surface Measurements for Joint Communication and Sensing

Multiple concepts for future generations of wireless communication standards utilize coherent processing of signals from many distributed antennas. Names for these concepts include distributed MIMO, cell-free massive MIMO, XL-MIMO, and large intelligent surfaces. They aim to improve communica- tion reliability, capacity, as well as energy efficiency and provide possibilities for new applications t

Quad-element LTE hidden car roof antenna system

This work presents the systematic design and optimization of a compact quad-element MIMO antenna system in a roof cavity for the expected channel behavior at a 700 MHz LTE band. Beginning with a standard low-profile antenna element, the desired radiation pattern is synthesized by structural modification. The configuration for a quad-element design is then optimized. The results show that the propo

An open-source human-in-the-loop BCI research framework: method and design

Brain-computer interfaces (BCIs) translate brain activity into digital commands for interaction with the physical world. The technology has great potential in several applied areas, ranging from medical applications to entertainment industry, and creates new conditions for basic research in cognitive neuroscience. The BCIs of today, however, offer only crude online classification of the user's cur

Deep learning prediction models based on EHR trajectories : A systematic review

BACKGROUND: Electronic health records (EHRs) are generated at an ever-increasing rate. EHR trajectories, the temporal aspect of health records, facilitate predicting patients' future health-related risks. It enables healthcare systems to increase the quality of care through early identification and primary prevention. Deep learning techniques have shown great capacity for analyzing complex data an

A shared pose regression network for pose estimation of objects from RGB images

In this paper we propose a shared regression network to jointly estimate the pose of multiple objects, replacing multiple object-specific solutions. We demonstrate that this shared network can outperform other similar approaches that rely on multiple object-specific models by evaluating it on the TLESS dataset using the VSD (Visible Surface Discrepancy). Our approach offers a less complex solution

A Hybrid Antenna Switching Scheme for Dynamic Channel Sounding

Channel sounding is essential for the development of radio systems. One flexible strategy is the switched-array-based channel sounding, where antenna elements are activated at different time instants to measure the channel spatial characteristics. Although its hardware complexity is decreased due to fewer radio-frequency (RF) chains, sequentially switching the antenna elements can result in aliasi

Tumour origin, diagnostic accuracy and histopathological evaluation in patients with periampullary cancer : nationwide cohort study

Background: The prevalence of different periampullary cancers (pancreatic ductal adenocarcinoma, distal cholangiocarcinoma, ampullary cancer and duodenal cancer) is heterogeneous in the literature. During the 2010s, a standardized histopathological protocol for pancreatoduodenectomy specimens based on axial slicing was adopted in Sweden. The present study sought to provide information about periam

Impact of ground plane scattering on performance of reconfigurable intelligent surface

Reconfigurable intelligent surfaces (RISs) are being considered for 6G as they can facilitate favourable radio channels. To rigorously model the characteristics of an array antenna-based RIS, this paper proposes an approach to separately evaluatescatterings from the antenna elements and ground plane of RIS. Simulation results show that, depending on the absolute phases of variable loads in the RIS

Impact of Array Configuration on Head-Mounted Display Performance at mm Wave Bands

Immersing a user in life-like extended reality (XR) scenery using a head-mounted display (HMD) with a constrained form factor and hardware complexity requires remote rendering on a nearby edge server or computer. Millimeter-wave (mmWave) communication technology can provide sufficient data rate for wireless XR content transmission. However, mmWave channels exhibit severe sparsity in the angular do