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The 4+1 View Model of Industri–Academia Collaboration

Industry–academia projects exist in complex contexts of var- ious stakeholders, time perspectives, and goals. In order to analyze projects and communicate about them, we have de- fined an “architectural” model for industry–academia collab- oration, inspired by Kruchten’s software architecture model. The model has four views of i) time, ii) space, iii) activ- ity and iv) domain, corresponding to th

On Hardware-Oriented Message Authentication with Applications Towards RFID

We consider ultra light-weight constructions of message authentication in hardware applications like RFID. We propose a new type of constructions that will be less costly to implement in hardware, compared to any previous construction. These constructions are based on the framework of universal hash functions, Toeplitz matrices and

An effective subdivision algorithm for diffuse scattering of ray tracing

Accurate modeling of electromagnetic wave propagation by means of ray tracing (RT) includes not only specular reflection, penetration through dielectric blocks and diffraction, but also diffuse scattering mechanisms. The accuracy, supported by a precise description of the environment, is achieved at a very high computational complexity. This computational complexity scales directly with the number

Mapping Channel Estimation and MIMO Detection in LTE-Advanced on a Reconfigurable Cell Array

This paper presents a flexible architecture suitable for performing both channel estimation and signal detection in a MIMO-OFDM downlink. Extensive hardware sharing between two tasks is achieved by algorithm and architecture co-design, where robust MMSE sliding window channel estimation and MMSE-based signal detection with symbol perturbation scheme are adopted. The proposed architecture is based

Risk Identification on the Interface Between Business Case and Requirements

Motivation: The requirements engineering (RE) research community is aware of the importance of performing feasibility studies before starting requirements elicitation. Unfortunately, projects still frequently fail to achieve commercial success, responsibility is often unknown, and requirements engineers may be deemed responsible for mistakes made by others. Problem: There is neither empirical evid

Prestack shot-gather depth migration by a `rigid' flow of Gaussian wave packets

Abstract in UndeterminedWe introduce a new method for prestack depth migration of seismic common-shot gathers.The computational procedure follows standard steps of the reverse-time migration, i.e.,downward continuation of the `source' and the `receiver' waveelds, followed by applicationof an imaging condition (e.g. zero-lag cross-correlation of these elds). In our method werst nd a sparse data rep

Are test cases needed? Replicated comparison between exploratory and test-case-based software testing

Manual software testing is a widely practiced verification and validation method that is unlikely to fade away despite the advances in test automation. In the domain of manual testing, many practitioners advocate exploratory testing (ET), i.e., creative, experience-based testing without predesigned test cases, and they claim that it is more efficient than testing with detailed test cases. This pap

Comparing the performance of different stomatal conductance models using modelled and measured plant carbon isotope ratios (δ(13) C): implications for assessing physiological forcing

Accurate modelling of long-term changes in plant stomatal functioning is vital to global climate change studies because changes in evapotranspiration influence temperature via physiological forcing of the climate. Various stomatal models are included in land surface schemes, but their robustness over longer timescales is difficult to validate. We compare the performance of three stomatal models, v

Triangulating a Plane

In this theoretical paper we consider the problem of accurately triangulating a scene plane. Rather than first triangulating a set of points and then fitting a plane to these points, we try to minimize the back-projection errors as functions of the plane parameters directly. As this is both geometrically and statistically meaningful our method performs better than the standard two step procedure.

Stochastic optimal power flow by multi-variate Edgeworth expansions

Stochastic optimal power flow can provide the system operator with adequate strategies for controlling the power flow to maintain secure operation under stochastic parameter variations. One limitation of stochastic optimal power flow has been that only steady-state variable limits have been used as security constraints. In many systems voltage stability and small-signal stability also play an impo

A multistandard frequency offset synchronization scheme for 802.11n, 802.16d, LTE, and DVB-T/H systems

Carrier frequency offset (CFO) synchronization is a crucial issue in the implementation of orthogonal frequency division multiplexing (OFDM) systems. Since current technology tends to implement different standards in the same wireless device, a common frequency synchronization structure is desirable. Knowledge of the physical frame and performance and cost system requirements are needed to choose

Generation of Spectral-Temporal Response Surfaces by Combining Multispectral Satellite and Hyperspectral UAV Imagery for Precision Agriculture Applications

Precision agriculture requires detailed crop status information at high spatial and temporal resolutions. Remote sensing can provide such information, but single sensor observations are often incapable of meeting all data requirements. Spectral-temporal response surfaces (STRSs) provide continuous reflectance spectra at high temporal intervals. This is the first study to combine multispectral sate

The emission factor of volatile isoprenoids: stress, acclimation, and developmental responses

The rate of constitutive isoprenoid emissions from plants is driven by plant emission capacity under specified environmental conditions (E-S, the emission factor) and by responsiveness of the emissions to instantaneous variations in environment. In models of isoprenoid emission, E-S has been often considered as intrinsic species-specific constant invariable in time and space. Here we analyze the v

Coordination of Independent Loops in Self-Adaptive Systems

Nowadays, the same piece of code should run on different architectures, providing performance guarantees in a variety of environments and situations. To this end, designers often integrate existing systems with ad-hoc adaptive strategies able to tune specific parameters that impact performance or energy—for example, frequency scaling. However, these strategies interfere with one another and unpred

Semantic Priming In Schizophrenia - The N400 In A Picture Verification Task

Semantic memory access has been characterized as abnormal in schizophrenia, but findings concerning automatic spreading activation at short stimulus onset asynchronies (SOA) have been inconsistent. Using the N400 as an indicator of semantic priming, a recent study (Mathalon, Faustman, & Ford, 2002) found evidence of hyperpriming in schizophrenic patients in a picture verification task. The pre

Directional Analysis of Vehicle-to-Vehicle Propagation in Different Traffic Environments

This paper presents a double directional analysis of vehicle-to-vehicle channel measurements conducted in two different traffic environments. Using a high-resolution algorithm, we derive channel parameters like angle-of- arrival, angle-of-departure, propagation delay and Doppler’s spread and identify underlying propagation mechanisms by combining these estimates with maps of the measurement sites.

Optimal On-line Sampling Period Assignment: Theory and Experiments

In embedded systems, the computing resources are often scarce and several control tasks may have to share the same computer. In this brief, we assume that a set of feedback controllers should be implemented on a single-CPU platform. We study the problem of optimal sampling period assignment, where the goal is to assign sampling rates to the controllers so that the overall control performance is ma

Bounds on the Information Rate of Intersymbol Interference Channels Based on Mismatched Receivers

We consider the problem of bounding the information rate of intersymbol interference channels via simulation-based algorithms. The adopted approach, which is based on a general class of reduced-complexity receivers that includes several previously studied receivers as special cases, leads to provable upper and lower bounds on the information rate of interest. As a by-product of the information-the

Performance analysis of operating systems schedulers realised as discrete-time controllers

Recent papers have proposed to design scheduling algorithms entirely as discrete-time controllers, i.e., to refrain from preserving the already installed scheduler, and replace it completely. At the cost of some system re-design impact, this new approach has been proved to yield significant advantages in terms of code size and simplicity, and above all to open the way to a system-theoretical analy