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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

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

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

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

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