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A method for 3D direction of arrival estimation for general arrays using multiple frequencies

We develop a novel high-resolution method for the estimation of the direction of incidence of energy emitted by sources in 3D space from wideband measurements collected by a planar array of sensors. We make use of recent generalizations of Kronecker's theorem and formulate the direction of arrival estimation problem as an optimization problem in the space of sequences generating so called general

Dynamic application placement in the Mobile Cloud Network

To meet the challenges of consistent performance, low communication latency, and a high degree of user mobility, cloud and Telecom infrastructure vendors and operators foresee a Mobile Cloud Network that incorporates public cloud infrastructures with cloud augmented Telecom nodes in forthcoming mobile access networks. A Mobile Cloud Network is composed of distributed cost- and capacity-heterogeneo

Connecting natural language to task demonstrations and low-level control of industrial robots

Industrial robotics is a complex domain, not easily amenable to formalization using semantic technologies. It involves such disparate aspects of the real world as geometry, dynamics, constraint-satisfaction, planning and scheduling, real-time control, robot-robot and human-robot communication and, finally, intentions of the robot user. To represent so different kinds of knowledge is a challenge an

Two Tunable Frequency Duplexer Architectures for Cellular Transceivers

In this paper two architectures for tunable duplexersare presented. The tuning is accomplished through variablecapacitance and resistance. The architectures are based on athree element series-parallel resonator, with one pass and onestop frequency. Both architectures rely on filtering as well ascancellation for good Tx to Rx isolation while maintaining lowinsertion loss. The first architecture, the

Distributed Approach to the Holistic Resource Management of a Mobile Cloud Network

The Mobile Cloud Network is an emerging cost and capacity heterogeneous distributed cloud topological paradigm that aims to remedy the application performance constraints imposed by centralised cloud infrastructures. A centralised cloud infrastructure and the adjoining Telecom network will struggle to accommodate the exploding amount of traffic generated by forthcoming highly interactive applicati

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

The proper object of non-doxastic religion : why traditional religion is to be preferred over Schellenberg's simple ultimism

Taking for granted the view that belief-less, ‘non-doxastic’, engagement with religion is possible, this article discusses the proper object of such religiosity. Its focus is the claim of J. L. Schellenberg that non-doxastic religion should be directed at ’simple ultimism’. I argue that ‘simple ultimism’ is too abstract to allow for alignment with religious reality. Traditional religion is a bette

Massive MIMO: Prototyping, Proof-of-Concept and Implementation

Wireless communication is evolving rapidly with ever more connected devicesand significantly increasing data rates. Since the invention of the smartphoneand the mass introduction of mobile apps, users demand more andmore traffic to stream music, watch high-definition video or to simply browsethe internet. This tremendous growth is more pronounced by the introductionof the Internet of Things (IoT)

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,

Faith and Hope in Situations of Epistemic Uncertainty

When it comes to religion, lack of conclusive evidence leads many reflective thinkers to embrace agnosticism. However, pure agnosticism does not necessarily have to be the final word; there are other attitudes one might reasonably adopt in a situation of epistemic uncertainty. This article concentrates on J. L. Schellenberg's proposal that non-doxastic propositional faith is available even when be

Remote Supervision of an Unmanned Surface Vessel - a Comparison of Interfaces

We compared three different Graphical User Interfaces (GUI) that we have designed and implemented to enable human supervision of an unmanned ship. Our findings indicate that a 3D GUI presented either on a screen or in a Virtual Reality (VR) setting provides several objective and subjective benefits compared to a Baseline GUI representing traditional tools.

Improving the Thresholds of Generalized LDPC Codes With Convolutional Code Constraints

CC-GLPDC codes are a class of generalized low-density parity-check (GLDPC) codes where the constraint nodes (CNs) represent convolutional codes. This allows for efficient decoding in the trellis with the forward-backward algorithm, and the strength of the component codes easily can be controlled by the encoder memory without changing the graph structure. In this letter, we extend the class of CC-G

Symptoms of depression and anxiety among elite high school student-athletes in Sweden during the COVID-19 pandemic: A repeated cross-sectional study

The COVID-19 pandemic precipitated numerous changes in daily life, including the cancellation and restriction of sports globally. Because sports participation contributes positively to the development of student-athletes, restricting these activities may have led to long-term mental health changes in this population. Using a repeated cross-sectional study design, we measured rates of depression us