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Your search for "what do you do on the dark web 【Visit Sig8.com】9ZP42K8.5R9I" yielded 90676 hits
Towards a service life extension of the Øresund Fixed Link
The Øresund Fixed Link is a 15,9 km road and railway connection between the southerly Swedish city of Malmö and its neighbor across the Øresund strait, Copenhagen, in Denmark. The link, which opened in 2000, consists of an elevated bridge, including a high stay cable bridge, an artificial island, as well as a submerged tunnel. The operators of the link, Øresundsbron Consortium, have recently, as p
Hyperelastic constants from a modified hardness test using energy balance obtained from FE-analysis
In order to simplify the hyperelastic characterisation of rubber materials, an extension of the standard hardness test is proposed. A number of indentation depths are chosen for the hardness test and the indentation forces for these depths are recorded. By this modification, hyperelastic constants can be derived from the test, providing more information from the test by a small extra effort. Equiv
Failure Analysis With a New Tool Geometry, X-Die, in Areas With High Tension/Compression Strains
Sheet-metal forming involves a complex strain distribution over the part. The strains consist of tension, compression, and a mix of both. A geometry has been developed, the X-Die, in order to gain insight into the strain behavior of different materials. The X-Die enables strain paths far into the tension/compression region, thus creating the possibility to extend the experimental base both for def
Image-based localization using hybrid feature correspondences
Where am I and what am I seeing? This is a classical vision problem and this paper presents a solution based on efficient use of a combination of 2D and 3D features. Given a model of a scene, the objective is to find the relative camera location of a new input image. Unlike traditional hypothesize-and-test methods that try to estimate the unknown camera position based on 3D model features only, or
System Identification using LQG-Balanced Model Reduction,
System identification of linear multivariable dy-namic models based on discrete-time data can be performed using a algorithm combining linear regression and LQG-balanced model reduction. The approach is applicable also to unstable system dynamics and it provides balanced models for optimal linear prediction and control.
Laparoscopic bile duct injury: understanding the psychology and heuristics of the error.
Bile duct injury is an important unsolved problem of laparoscopic cholecystectomy, occurring with unacceptable frequency even in the hands of experienced surgeons. This suggests that a systemic predisposition to the injury is intrinsic to cholecystectomy and indicates that an analysis of the psychology and heuristics of surgical decision-making in relation to duct identification may be a guide to
Aspects of Quality of Life in persons with pre-lingual deafness using sign language: Subjective wellbeing, ill-health symptoms, depression and insomnia
Random Number Generation by Chaotic Double Scroll Oscillator on Chip
Generation of good non-repeatable and non-predictable random number sequences is of increasing importance, both in security applications and in simulations. A novel, compact system is presented in which a secure random number is generated by sampling a chaotic system and using this bitstream as the input to a pseudo-random generator. An optional hash function can be used on the seed in order to de
Solving large scale binary quadratic problems: Spectral methods vs. Semidefinite programming
In this paper we introduce two new methods for solving binary quadratic problems. While spectral relaxation methods have been the workhorse subroutine for a wide variety of computer vision problems - segmentation, clustering, image restoration to name a few - it has recently been challenged by semidefinite programming (SDP) relaxations. In fact, it can be shown that SDP relaxations produce better
Non-Parametric Data-Dependent Estimation of Specroscopic Echo-Train Signals
This paper proposes a novel non-parametric estimator for spectroscopic echo-train signals, termed ETCAPA, to be used as a robust and reliable first-approach-technique for new, unknown, or partly disturbed substances. Exploiting the complete echo structure for the signal of interest, the method reliably estimates all parameters of interest, enabling initial estimates for the identification procedur
Swedish word accent production by L2-speakers with different tonal L1S
Effect of Different Fabric Skin Combinations on Predicted Sweating Skin Temperature of a Thermal Manikin
In this study, a knit cotton fabric skin and a Gore-tex skin were used to simulate two sweating methods. The Gore-tex skin was put on top of the pre-wetted knit cotton skin on a dry heated thermal manikin 'Tore' to simulate senseless sweating, similar to thermal manikins 'Coppelius' and 'Walter'. Another simulation involved the pre-wetted fabric skin covered on top of the Gore-tex skin in order to
Life cycle cost for different ventilation systems in single family houses
The purpose of an indoor climate system is to fulfil the required thermal comfort and provide satisfactory indoor air quality by using as little resources as possible. This study investigated the resulting energy use and life cycle cost from different ventilation systems for typical single family houses in the Nordic outdoor climate. Three ventilation systems were compared, namely exhaust ventilat
Heat and mass balances of an intercooler in PEM Fuel Cell systems
In this paper, heat and mass balances of the intercooler in a 100 kW Proton Exchange Membrane Fuel Cell (PEMFC) system are analyzed by employing a commercial software IPSEpro. The compressor, ambient temperature, the humidification method and the PEMFCs cathode operating temperature were considered as the parameters influencing the heat and mass balances in the intercooler. Parametric studies of t
Climate change and energy policy efforts in Chile: Up in smoke?
Abstract in UndeterminedThe purpose of this study is to preliminarily evaluate Chile’s energy and climate policy performance historically (1971-2007). The objective is to estimate different indicators in relation to energy and CO2 emission intensities, and identify policy instruments in the light of estimated trends and related structural issues. The methodology is based on a top-down decompositio
Central bank power: a matter of coordination rather than money supply
Popular Abstract in Swedish Avhandlingen kretsar kring centralbankens möjligheter att kontrollera inflationstakten. Under senare tid har mycket forskning ägnats åt att analysera och utvärdera de institutionella förutsättningarna för centralbanker, såväl avseende graden av oberoende som vilka mål penningpolitiken bör inriktas mot; exempelvis direkta inflationsmål versus användandet av indirekta målAfter an introductory chapter, the hypothesis is made in chapter two: that central bank power to control the rate of inflation rests on the bank’s ability to achieve a role as a focal point for inflation. Inflation is a measure of changes in the general price level, the price level is an index of individual prices, and to predict future price levels is thus to predict future prices on individual i
Diode-like characteristics of nanometer-scale semiconductor channels with a broken symmetry
We present a new type of nanometer-scale semiconductor nonlinear device, called self-switching device (SSD). The device was realized by simply etching insulating grooves into a semiconductor, between which a narrow channel with a broken symmetry was formed. Because of the asymmetry in the channel boundary, an applied voltage V not only changes the potential profile along the channel direction, but
Modeling of various transport processes in a natural gas reformer
In this study, a three-dimensional calculation method has been developed to simulate and analyze steam reforming of natural gas, and the effects on various transport processes in a duct from a compact steam reformer. The reformer conditions such as the combined thermal boundary conditions on solid walls, mass balances associated with the reforming reactions and gas permeation to/from the porous ca
Shannon entropy based fuzzy distance norm for pixel classification in remote sensing imagery
Pixel classification of mixed pixels in overlapping regions of remote sensing images is a very challenging task. Efficiency and detection of uncertainty are always the key ingredients for this task. This paper proposes an approach for pixel classification using Shannon's entropy-based fuzzy distance norm. Unsupervised clustering is used to group the objects based on some similarity or dissimilarit
