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Time-resolved characterization of primary particle emissions and secondary particle formation from a modern gasoline passenger car

Changes in vehicle emission reduction technologies significantly affect traffic-related emissions in urban areas. In many densely populated areas the amount of traffic is increasing, keeping the emission level high or even increasing. To understand the health effects of traffic-related emissions, both primary (direct) particulate emission and secondary particle formation (from gaseous precursors i

A three bit second order audio band delta sigma modulator with 98.2dB SQNR

A three bit second order delta sigma modulator for audio applications implemented in 130nm CMOS technology is presented. The modulator features two integrators, a flash quantizer and two current steering DACs. In order to minimize the effect of delays in the DACs, excessive loop delay (ELD) compensation is utilized. Using an oversampling ratio (OSR) of 80, the design consumes 2.8mW and achieves a

Analog Integrated Audio Frequency Synthesizer

In this paper we present an audio synthesizer that creates audio signals, intended to be reproduced as sound by a loudspeaker. This paper details the design, implementation and verification of an analog, subtractive audio synthesizer. The synthesizer produces a variety of waveforms spanning approximately 3 octaves. The frequency is controlled by an external voltage and the harmonic content is regu

Dataflow Programs Analysis and Optimization Using Model Predictive Control Techniques : Two Examples of Bounded Buffer Scheduling: Deadlock Avoidance and Deadlock Recovery Strategies

The analysis of the trace graphs generated by dataflow program executions has been shown to be an effective tool for exploring and optimizing the design space of application programs on manycore/multicore platforms. In this work a new approach aiming at finding bounded buffer size configurations for implementations generated by dataflow programs is presented. The introduced method is based on an o

Conjugate priors for Gaussian emission plsa recommender systems

Collaborative filtering for recommender systems seeks to learn and predict user preferences for a collection of items by identifying similarities between users on the basis of their past interest or interaction with the items in question. In this work, we present a conjugate prior regularized extension of Hofmann's Gaussian emission probabilistic latent semantic analysis model, able to overcome th

Photon Splatting Using a View-Sample Cluster Hierarchy

Splatting photons onto primary view samples, rather than gathering from a photon acceleration structure, can be a more efficient approach to evaluating the photon-density estimate in interactive applications, where the number of photons is often low compared to the number of view samples. Most photon splatting approaches struggle with large photon radii or high resolutions due to overdraw and insu

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