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Impact of Rician fading and cross-polarization ratio on the orthogonality of dual-polarized wireless channels
The paper examines the impact of Rician fading on the orthogonality of dual-polarized MIMO channels in a measured urban macrocellular scenario. The measurements confirm the previous finding that the Rician
Att plantera ett barn : internationella adoptioner och assisterad befruktning i svensk reproduktionspolitik
Popular Abstract in Swedish Vad är en familj, vilka kan bilda en familj och vem bestämmer det? Hur ser föreställningarna kring den ideala familjen ut? Och varför anses det viktigt att ha kännedom om sitt ursprung och att tillhöra en familj, en släkt eller en nation? I denna avhandling undersöks den svenska familjepolitiken kring internationella adoptioner och assisterad befruktning. UndersökningenThe purpose of this thesis is to study the norms and values surrounding the family and the nation-state in Swedish family policy as they appear in Official Government Reports (SOU) on international adoption and assisted reproductive technology (ART) between 1953 and 2007. I argue that the committees’ reports can be viewed as normative statements constituting a hegemonic state discourse. The method
Uncoupled matching for active and passive impedances of coupled arrays in MIMO systems
A general theory of phase noise in transconductor-based harmonic oscillators
We present a rigorous phase noise analysis of a generic harmonic oscillator where the active core can be modeled as a transconductor. Phase noise equations are derived without any specific assumption on the nature of the resonator in the oscillator; furthermore, we provide closed-form 1/f2 phase noise equations when the resonator consists of an arbitrary number of cascaded LC tanks, each tuned at
Control Problems at the European Spallation Source
A background on the Europan Spallation Source is given, and our work on three control problems important for the design of its linear accelerator are presented.
From Demonstrations to Skills for High-level Programming of Industrial Robots
In this paper we describe our approach to robotic skill representation and a prototypical implementation of a programming-by-demonstration approach that allows users to generate skills and robot program primitives for later re- finement and re-use. We intend to evaluate the applicability of this approach to high-level programming in a user study, which we also explain.
An Area Efficient Single-Cycle xVDD Sub-Vth on-Chip Boost Scheme in 28 nm FD-SOI
An on-chip, low power, and area efficient charge-pump (CP) that generates a multiple of the supply voltage (VDD) in a single clock cycle is presented. The proposed CP utilizes parallel cross-connected CP units, which are implemented using MIM (metal-insulator-metal) capacitors. In the target application, i.e., a sub-threshold SRAM, the capacitors are accommodated on top of the memory banks to remo
Extraction of Career Profiles from Wikipedia
Supporting Semantic Capture during Kinesthetic Teaching of Collaborative Industrial Robots
Industrial robot systems being deployed today do not contain domain knowledge to aid robot operators in setup and operational use. To gather such knowledge in a robot context requires mechanisms for entering and capturing semantic data, that will gradually build a working vocabulary while interacting with environment and operators, for bootstrapping system knowledge and ensuring data collection ov
Identification of Entities in Swedish
Ontology matching: from PropBank to DBpedia
Statistical Identification of Pleonastic Pronouns
This paper describes an algorithm to identify pleonastic pronouns using statistical techniques. The training step uses a coreference annotated corpus of English and focuses on a set of pronouns such as it. As far as we know, there is no corpus with a pleonastic annotation. The main idea of the algorithm was then to recast the definition of pleonastic pronouns as pronouns that never occur in a core
Interaction patterns in human augmented mapping
Interactive robots can benefit from learning from humans in situated communications, for instance in a guided tour, where the human user explains the environment to a mobile robot, or from being instructed to handle a specific task in an industrial setting. We have to assume that human users do not always give unambiguous or consistent information, which might result in inconsistent information be
A 38pJ/b Optimal Soft-MIMO Detector
An optimal soft multiple-input multiple-output (MIMO) detector is proposed with linear complexity for a general spatial multiplexing system with two transmitting symbols and NR ≥ 2 receiving antennas. The computational complexity of the proposed scheme is independent of the operating signal-tonoise ratio (SNR) and grows linearly with the constellation order. It provides the soft maximum-likelihood
Efficient algorithms for robust estimation of relative translation
One of the key challenges for structure from motion systems in order to make them robust to failure is the ability to handle outliers among the correspondences. In this paper we present two new algorithms that find the optimal solution in the presence of outliers when the camera undergoes a pure translation. The first algorithm has polynomial-time computational complexity, independently of the amo
On a fixed-point algorithm for structured low-rank approximation and estimation of half-life parameters
We study the problem of decomposing a measured signal as a sum of decaying exponentials. There is a direct connection to sums of these types and positive semi-definite (PSD) Hankel matrices, where the rank of these matrices equals the number of exponentials. We propose to solve the identification problem by forming an optimization problem with a misfit function combined with a rank penalty functio
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
