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Prediction of manifest Huntington's disease with clinical and imaging measures : a prospective observational study

BACKGROUND: Although the association between cytosine-adenine-guanine (CAG) repeat length and age at onset of Huntington's disease is well known, improved prediction of onset would be advantageous for clinical trial design and prognostic counselling. We compared various measures for tracking progression and predicting conversion to manifest Huntington's disease.METHODS: In this prospective observa

Bandwidth Efficient Coding

Methods for energy and bandwidth efficient coded digital communication, including pulse design, non-orthogonal signaling methods, and the faster than Nyquist signaling method.

Massive MIMO for 5G: Theory, Implementation and Prototyping

This chapter presents a flexible platform that supports prototyping up to 20 MHz bandwidth 128-antenna multiple input, multiple output (MIMO). It devotes theory, design, implementation, and prototyping of Massive MIMO for 5G communication systems. The chapter overviews the principles and theory of Massive MIMO. It describes the channel modeling system with a focus on specific phenomena of large sc

A Measurement Based Multilink Shadowing Model for V2V Network Simulations of Highway Scenarios

Shadowing from vehicles can significantly degrade the performance of vehicle-to-vehicle (V2V) communication in multilink systems, e.g., vehicular ad-hoc networks (VANETs). It is thus important to characterize and model the influence of common shadowing objects like cars properly when designing these VANETs. Despite the fact that for multilink systems it is essential to model the joint effects on t

Tracking of Wideband Multipath Components in a Vehicular Communication Scenario

A detailed understanding of the dynamic processes of vehicular radio channels is crucial for its realistic modeling. In this paper, we present multipath components (MPCs) tracking results from a channel sounder measurement with 1-GHz bandwidth at a carrier frequency of 5.7 GHz. We describe in detail the applied algorithms and perform a tracking performance evaluation based on artificial channels a

Measurement-Based Wideband Analysis of Dynamic Multipath Propagation in Vehicular Communication Scenarios

Realistic propagation modeling requires a detailed understanding and characterization of the radio channel properties. This paper is based on channel sounder measurements with 1 GHz bandwidth at a carrier frequency of 5.7 GHz and particular tracking methods. We present statistical models for the number of, birth rate, lifetime, excess delay and relative Doppler frequency of individual multipath co

Evolution of In-Cylinder Diesel Engine Soot and Emission Characteristics Investigated with Online Aerosol Mass Spectrometry

To design diesel engines with low environmental impact, it is important to link health and climate-relevant soot (black carbon) emission characteristics to specific combustion conditions. The in-cylinder evolution of soot properties over the combustion cycle and as a function of exhaust gas recirculation (EGR) was investigated in a modern heavy-duty diesel engine. A novel combination of a fast gas

Clock-gating of streaming applications for energy efficient implementations on FPGAs

The paper investigates the reduction of dynamic power for streaming applications yielded by asynchronous dataflow designs by using clock gating techniques. Streaming applications constitute a very broad class of computing algorithms in areas such as signal processing, digital media coding, cryptography, video analytics, network routing and packet processing and many others. The paper introduces a

High-level synthesis of dynamic dataflow programs on heterogeneous MPSoC platforms

The growing complexity of digital signal processing applications make a compelling case the use of high-level design and synthesis methodologies for the implementation on programmable logic devices and embedded processors. Past research has shown that, for complex systems, raising the level of abstraction of design stages does not necessarily come at a penalty in terms of performance or resource r

Processes and actors: Translating Kahn processes to dataflow with firing

Dataflow programming is a paradigm for describing stream processing algorithms in a manner that naturally exposes their concurrency and makes the resulting programs readily implementable on highly parallel architectures. Dataflow programs are graph structured, with nodes representing computational kernels that process the data flowing over the edges. There are two major families of languages for t

Content-based caching in a managed runtime computing environment

A computer-implemented method of caching data in a managed runtime computing environment can include loading source data and comparing content of the source data with at least one of a plurality of cache entries. Each cache entry can include a representation of previously received source data and a transformation of the previously received source data. A transformation for the source data from a c

Vehicular Communication in Obstructed and Non Line-of-Sight Scenarios

Since the invention of the first car available to masses, the 1908 Ford Model T, technology has advanced towards making car travel safer for occupants and bystanders. In recent years, wireless communication has been introduced in the vehicular industry as a means to avoid accidents and save lives.Wireless communication may sometimes be challenging due to obstacles in the physical world that intera

A model for power contributions from diffraction around a truck in Vehicle-to-Vehicle communications

Channel modeling studies in vehicle-to-vehicle (V2V) communications have shown that larger road users act as blocking objects for the communication of surrounding vehicles, dramatically altering the statistical properties of the wireless channel. Without a strong line-of-sight component, packet delivery depends on other propagation mechanisms that are statistically more likely to add destructively

High-level system synthesis and optimization of dataflow programs for MPSoCs

The growing complexity of digital signal processing applications make a compelling case the use of high-level design and synthesis methodologies for the implementation on reconfigurable and embedded devices. Past research has shown that raising the level of abstraction of design stages does not necessarily gives penalties in terms of performance or resources. Dataflow programs provide behavioral d

Ray Accelerator : Efficient and Flexible Ray Tracing on a Heterogeneous Architecture

We present a hybrid ray tracing system, where the work is divided between the CPU cores and the GPU in an integrated chip, and communication occurs via shared memory. Rays are organized in large packets that can be distributed among the two units as needed. Testing visibility between rays and the scene is mostly performed using an optimized kernel on the GPU, but the CPU can help as necessary. The

Expecting the expected : Semantic incongruities are judged differently depending on the source during sentence judgment tasks

How well can people identify semantic incongruities, which are often used in linguistic research and experimental psychology (e.g., Clifton, Staub, & Rayner, 2007)? Acceptability judgment tasks measure how natural a sentence sounds (e.g., Dąbrowska, 2010), and are often used with sentences with or without incongruities, but can these judgments be affected by expectation and bias? Two experimen

Nonlinear Air-Path Control of a Heavy-Duty Diesel Engine—A Receding Horizon Sliding Control Approach

Precise air-path control of heavy-duty diesel engines contributes to emission regulation and high engine efficiency. The air path with VGT and EGR system is highly nonlinear with non-minimum-phase-system properties. The authors present a nonlinear control design - Receding Horizon Sliding Control (RHSC) to solve the tracking problem of the air-path. This control method handles the nonlinear dynami

Partially Premixed Combustion Multi-Cylinder Engine Cycle-to-Cycle-Oriented Temperature Estimation and Control

Advanced combustion concepts like partially premixed combustion (PPC) are sensitive to inlet gas conditions especially inlet temperature. To estimate the combustion parameters like ignition delay on a cycle-to-cycle basis, both complementary filter and extended Kalman filter were designed to estimate the inlet temperature, and the ignition delay was calculated with properly estimated temperature.