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The semiconductor technology development con- stantly enables integrated circuits (ICs) with more, faster and smaller transistors. While there are many advantages, there are also many and new challenges, for example tighter margins, wear- outs and process variations. To address these challenges, the traditional approach with external test instruments used at man- ufacturing test must be complement
This paper presents LuMaMi28, a real-time 28GHz multi-user (MU) multiple-input multiple-output (MIMO) testbed. In this testbed, the base station has 16 transceiver chains with a fully-digital beamforming architecture (with different pre-coding algorithms) and simultaneously supports multiple user equipments (UEs) with spatial multiplexing. The UEs are equipped with a beam-switchable antenna array
High-precision localization and machine learning (ML) are envisioned to be key technologies in future wireless systems. This paper presents an ML pipeline to solve localization tasks. It consists of multiple parallel processing chains, each trained using a different fingerprint to estimate the position of the user equipment. In this way, ensemble learning can be utilized to fuse all chains to impr
High-precision cellular-based localization is one of the key technologies for next-generation communication systems. In this paper, we investigate the potential of applying machine learning (ML) to a massive multiple-input multiple-output (MIMO) system to enhance localization accuracy. We analyze a new ML-based localization pipeline that has two parallel fully connected neural networks (FCNN). The
Context: In the contemporary body of software engineering literature, some recurrent shortcomings characterize how threats to validity (TTV) are considered in studies. Objective: With this position paper, we aim to open a discourse on the current use of TTV sections. The goal of our position is to jointly reflect and systematically improve how we, as a research community, consider TTV in our studi
We present a method to produce small pitch gratings for X-ray interferometric imaging applications, allowing the phase sensitivity to be increased and/or the length of the laboratory setup to be minimized. The method is based on fabrication of high aspect ratio silicon microstructures using deep reactive ion etching (Bosch technique) of dense grating arrays and followed by conformal electroplating
Precision medicine is part of the logical evolution of contemporary evidence-based medicine that seeks to reduce errors and optimize outcomes when making medical decisions and health recommendations. Diabetes affects hundreds of millions of people worldwide, many of whom will develop life-threatening complications and die prematurely. Precision medicine can potentially address this enormous proble
Background: Patients with heart failure and left bundle branch block (LBBB) may receive cardiac resynchronization therapy (CRT), but current selection criteria are imprecise, and many patients have limited treatment response. Hemodynamic forces (HDF) have been suggested as a marker for CRT response. The aim of this study was therefore to investigate left ventricular (LV) HDF as a predictive marker
Aim: Children born extremely preterm frequently have developmental coordination disorder (DCD). We aimed to evaluate perinatal risk factors for DCD. Methods: Swedish national cohort study including 226 children born before 27 gestational weeks without major neurodevelopmental disabilities at 6.5 years. Outcome was DCD, defined as ≤5th percentile on the Movement Assessment Battery for Children-Seco
We built machine learning and image analysis tools in order to forecast winter wheat yield based on a rich multi dimensional tensor of agricultural information spanning different scales. This information consists of satellite multi-band images, local soil samples obtained from national databases, local weather as well as field data from 23 farms cultivating winter wheat in southern Sweden. This is
The ability to encode, imagine, and remember coherent representations of the world is crucial for everyday life and depends on a brain network involving the hippocampal region. Scene construction tasks, which measure spatial coherence, have been shown to be sensitive to hippocampal integrity in amnesic patients. Hippocampal dysfunction has been implicated in posttraumatic stress disorder (PTSD), a
Semiconductor technology constantly advances, enabling integrated circuits (ICs) with increasingly numerous, faster, and smaller transistors. While this progress offers many benefits, it also presents new challenges, such as tighter margins, wear-outs, and process variations. To effectively tackle these challenges, the conventional approach of using external test instruments during manufacturing t
This paper elaborates on a technique for rapid real-time imaging of millimeter wave (mmWave) power density over surfaces of several wavelengths in size. The approach involves utilizing a screen-printed metasurface equipped with elements designed for absorption of mmWaves, along with an infrared camera to monitor temperature changes due to the absorption. By modulating the transmitted signal and ap
Massive multiple-input multiple-output (MIMO) technology will continue playing an important role in beyond 5G wireless systems. Fully digital beamforming at the millimeter wave (mmWave) spectrum enables applications that require high data rates and low latency. This paper investigates the development and deployment of mmWave massive MIMO systems in an in-flight cabin environment, from both system
Syftet med uppsatsen är att undersöka om åsikterna skiljer sig åt beroende på vilken geografisk region respondenten härstammar ifrån samt att undersöka om åsikterna skiljer sig åt mellan intressegrupperna. För att bearbeta materialet har en kvantitativ innehållsanalys gjorts av inkomna kommentarsbrev till IASB:s exposure draft 2013/9 för IFRS for SMEs som, utöver förslagen, innehöll åtta direkta
Purpose: A multimodal artificial intelligence (MMAI) biomarker was developed using clinical trial data from North American men with localized prostate cancer treated with definitive radiation, using biopsy digital pathology images and key clinical information (age, PSA, and T-stage) to generate prognostic scores. This study externally validates the biomarker in a prospective, real-world dataset of
Massive multiple-input multiple-output (MIMO) plays an important role in beyond 5G systems to support high data rate and low latency, especially operating at millimeter-wave frequency bands. In traditional software-based simulators, the simulation time increases exponentially with the number of base station antennas and served users. We propose a hardware-in-loop simulator that combines the flexib
Offentlig upphandling är en inköpsprocess av nyttjas av offentliga verksamheter såsom myndigheter och kommuner. Årligen spenderar Sverige ca 800 miljarder kronor via offentliga upphandlingar, vilket har en stor inverkan på miljön då dessa kontrakt ofta följer den linjära ekonomiska modellen, slit- och släng samhället. Begreppen cirkularitet och cirkulär ekonomi är relativt nya koncept som har de sThe EU procured for roughly 202000 MEUR (14% of the EU GDP) during 2021 in the public sector. The majority of these contracts are traditional, linear business model purchases. The EU has been developing several strategies, guidelines, and policies for sustainable purchasing, with Circular Public Procurement for a Circular Economy (CE) being one of them, but the implementation rate is low. Electron
