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Deep learning for rapid and reproducible histology scoring of lung injury in a porcine model

Acute respiratory distress syndrome (ARDS) is a life-threatening condition with mortality rates between 30-50%. Although in vitro models replicate some aspects of ARDS, small and large animal models remain the primary research tools due to the multifactorial nature of the disease. When using these animal models, histology serves as the gold standard method to confirm lung injury and exclude other

Declarative Specification of Intraprocedural Control-flow and Dataflow Analysis

Static program analysis plays a crucial role in ensuring the quality and security of software applications by detecting and fixing bugs, and potential security vulnerabilities in the code. The use of declarative paradigms in dataflow analysis as part of static program analysis has become increasingly popular in recent years. This is due to its enhanced expressivity and modularity, allowing for a h

Channel Orthogonalization with Reconfigurable Surfaces

Orthogonal multi-user multiple-input multiple-output (MU-MIMO) channels allow for optimum performance with simplified precoding/equalization, and they achieve maximum multiplexing gain which is shared fairly among users. Reconfigurable intelligent surface (RIS) constitutes a promising cost-efficient solution to improve the wireless channel, since they consist of passive reflecting elements able to

Beyond Massive MIMO : Trade-offs and Opportunities with Large Multi-Antenna Systems

After the commercial emergence of 5G, the research community is already putting its focus on proposing innovative solutions to enable the upcoming 6G. One important lesson put forth by 5G research was that scaling up the conventional multiple-input-multiple-output (MIMO) technology by increasing the number of antennas could be extremely beneficial for effectively multiplexing data streams in the s

Parallel Kinematic Construction Robot for AEC Industry

This article reports work-in-progress of a parallel kinematic robot development for construction with main focus on the concept phase. We suppose the weight distribution of the proposed structure enables integration of robotic components into construction equipment while enabling tailoring of important characteristics such as accuracy, stiffness and workspace toward application needs.We describe c

A 10-bit Split-Capacitor SAR ADC with DAC Imbalance Estimation and Calibration

This paper presents a 10-bit SAR ADC with a sampling rate of 200 MS/s. To reduce area and power consumption, the ADC adopts a split-capacitor DAC, where the gain error is estimated and subsequently removed by means of a PRBS signal injected into the DAC and detected at the ADC output. The ADC has been designed and fabricated in a 22nm FD-SOI CMOS process, and achieves an SNDR of 48.7 dB and an SFD

A Design Method to Minimize the Impact of Bit Conversion Errors in SAR ADCs

This paper analyzes the bit conversion errors in high speed SAR ADCs and proposes a design method to minimize their impact on the ADC performance. By removing the SR latch from the output stage of the differential comparator, while using only one comparator output to generate the differential signals for the internal capacitive DAC, sparkle-code errors are avoided, and conversion errors from a pre

Test Flow Selection for Stacked Integrated Circuits

Integrated circuits (ICs) with a single chip (die) are typically tested with a test flow consisting of two test instances: (1) wafer sort for the bare chip and (2) package test for the packaged IC. For ICs with stacked chips - 3D Stacked ICs - there are many possible test instances, even more test flows, and no commonly used test flow. In this paper, we propose a test flow selection algorithm (TFS

Spatial Temperature Differences in Portal Frame Bridges

Thermal actions are considered in the design of bridges, as temperature variations can lead to restraint stresses and subsequent cracking. However, load descriptions are in some cases oversimplified or incompatible with modern applications, and background studies are limited. This paper therefore aims to develop a more detailed load description for the load case describing temperature differences

A 7.5 mW 9 MHz CT Delta-Sigma Modulator in 65 nm CMOS with 69 dB SNDR and Reduced Sensitivity to Loop Delay Variations

This paper presents a 3rd-order, 3-bit continuous time (CT) Delta-Sigma modulator for an LTE radio receiver. By adopting a return-to-zero (RZ) pulse in the innermost DAC, the modulator shows a reduced sensitivity to loop-delay variations, and the additional loop delay compensation usually needed in CT modulators can be omitted. The modulator has been implemented in a 65nm CMOS process, where it oc

Power Consumption Analysis of FTTH Networks

With increasing usage of the Internet, energy consumption of network equipment has become a crucial challenge from both an economic and an environmental point of view. This paper combines users’ behavior of accessing the network with energy saving algorithms for energy-aware network equipment, and investigates potential energy savings in the access network. The study is based on a set of traffic d

Knowledge for Intelligent Industrial Robots

This paper describes an attempt to provide more intelligence to industrial robotics and automation systems. We develop an architecture to integrate disparate knowledge representations used in different places in robotics and automation. This knowledge integration framework, a possibly distributed entity, abstracts the components used in design or production as data sources, and provides a uniform

Time to speak : Cognitive and neural prerequisites for time in language

Time is a fundamental aspect of human cognition and action. All languages have developed rich means to express various facets of time, such as bare time spans, their position on the time line, or their duration. The articles in this volume give an overview of what we know about the neural and cognitive representations of time that speakers can draw on in language. Starting with an overview of the

Compact UWB MIMO antenna for USB dongles with angle and polarization diversity

A compact dual-element antenna suitable for ultrawideband (UWB) MIMO operation is proposed in this work. The size of the antenna is 25 mm by 40 mm and it covers the lower UWB band of 3.15-5.15 GHz. Apart from the inherent wideband isolation obtained through the different angle and polarization characteristics in the radiation patterns of the individual elements, the gap between the two antenna ele

Reconfigurable cell array as enabler for supporting concurrent multiple standards in mobile terminals

This manuscript presents an reconfigurable architecture, suitable to process time synchronization for multiple OFDM standards. The proposed architecture is based on a coarse-grained reconfigurable cell array, and the different radio standards under analysis are IEEE 802.11n, 3GPP Long Term Evolution and Digital Video Broadcast for cellular devices. With the use of a 2-by-2 cell array, composed of

Radio and IMU based indoor positioning and tracking

Navigation using inertial measurement units (IMUs) is an interesting area of research. Due to the low cost hardware and simple implementation, the approach looks very attractive. But the performance of the IMUs to provide sub-meter accuracy over a longer period of time is still not sufficient, so different approaches have been adopted to increase the performance at the cost of extra hardware and/o

Multi-step ahead response time prediction for single server queuing systems

Multi-step ahead response time prediction of CPU constrained computing systems is vital for admission control, overload protection and optimization of resource allocation in these systems. CPU constrained computing systems such as web servers can be modeled as single server queuing systems. These systems are stochastic and nonlinear. Thus, a well-designed nonlinear prediction scheme would be able