SeismicWaveTool: Continuous and discrete wavelet analysis and filtering for multichannel seismic data

A MATLAB-based computer code has been developed for the simultaneous wavelet analysis and filtering of multichannel seismic data. The considered time–frequency transforms include the continuous wavelet transform, the discrete wavelet transform and the discrete wavelet packet transform. The developed approaches provide a fast and precise time–frequency examination of the seismograms at different frequency bands. Moreover, filtering methods for noise, transients or even baseline removal, are implemented. The primary motivation is to support seismologists with a user-friendly and fast program for the wavelet analysis, providing practical and understandable results.

A Matrix PRNG with S-Box Output Filtering

We describe a modification to a previously published pseudorandom number generator improving security while maintaining high performance. The proposed generator is based on the powers of a word-packed block upper triangular matrix and it is designed to be fast and easy to implement in software since it mainly involves bitwise operations between machine registers and, in our tests, it presents excellent security and statistical characteristics. The modifications include a new, key-derived s-box based nonlinear output filter and improved seeding and extraction mechanisms. This output filter can also be applied to other generators.

On the decorrelation filtering of RL05 GRACE data for global applications

In autumn 2012, the new release 05 (RL05) of monthly geopotencial spherical harmonics Stokes coefficients (SC) from GRACE (Gravity Recovery and Climate Experiment) mission was published. This release reduces the noise in high degree and order SC, but they still need to be filtered. One of the most common filtering processing is the combination of decorrelation and Gaussian filters. Both of them are parameters dependent and must be tuned by the users. Previous studies have analyzed the parameters choice for the RL05 GRACE data for oceanic applications, and for RL04 data for global application. This study updates the latter for RL05 data extending the statistics analysis. The choice of the parameters of the decorrelation filter has been optimized to: (1) balance the noise reduction and the geophysical signal attenuation produced by the filtering process; (2) minimize the differences between GRACE and model-based data; (3) maximize the ratio of variability between continents and oceans. The Gaussian filter has been optimized following the latter criteria. Besides, an anisotropic filter, the fan filter, has been analyzed as an alternative to the Gauss filter, producing better statistics.

EnvironmentalWaveletTool: Continuous and discrete wavelet analysis and filtering for environmental time series

A MATLAB-based computer code has been developed for the simultaneous wavelet analysis and filtering of several environmental time series, particularly focused on the analyses of cave monitoring data. The continuous wavelet transform, the discrete wavelet transform and the discrete wavelet packet transform have been implemented to provide a fast and precise time–period examination of the time series at different period bands. Moreover, statistic methods to examine the relation between two signals have been included. Finally, the entropy of curves and splines based methods have also been developed for segmenting and modeling the analyzed time series. All these methods together provide a user-friendly and fast program for the environmental signal analysis, with useful, practical and understandable results.

Estimation of Key Dates and Stages in Rice Crops Using Dual-Polarization SAR Time Series and a Particle Filtering Approach

Information of crop phenology is essential for evaluating crop productivity. In a previous work, we determined phenological stages with remote sensing data using a dynamic system framework and an extended Kalman filter (EKF) approach. In this paper, we demonstrate that the particle filter is a more reliable method to infer any phenological stage compared to the EKF. The improvements achieved with this approach are discussed. In addition, this methodology enables the estimation of key cultivation dates, thus providing a practical product for many applications. The dates of some important stages, as the sowing date and the day when the crop reaches the panicle initiation stage, have been chosen to show the potential of this technique.

Advances in camera trap data management tools: Towards collaborative development and integration with GIS

Camera traps have become a widely used technique for conducting biological inventories, generating a large number of database records of great interest. The main aim of this paper is to describe a new free and open source software (FOSS), developed to facilitate the management of camera-trapped data which originated from a protected Mediterranean area (SE Spain). In the last decade, some other useful alternatives have been proposed, but ours focuses especially on a collaborative undertaking and on the importance of spatial information underpinning common camera trap studies. This FOSS application, namely, “Camera Trap Manager” (CTM), has been designed to expedite the processing of pictures on the .NET platform. CTM has a very intuitive user interface, automatic extraction of some image metadata (date, time, moon phase, location, temperature, atmospheric pressure, among others), analytical (Geographical Information Systems, statistics, charts, among others), and reporting capabilities (ESRI Shapefiles, Microsoft Excel Spreadsheets, PDF reports, among others). Using this application, we have achieved a very simple management, fast analysis, and a significant reduction of costs. While we were able to classify an average of 55 pictures per hour manually, CTM has made it possible to process over 1000 photographs per hour, consequently retrieving a greater amount of data.

Architectural Technology and the BIM Acronym 3: Getting to Grips with BIM

Among Small and Medium Sized Enterprises (SMEs) in particular, the UK Government’s ambitions regarding BIM uptake and diffusion across the construction sector may be tempered by a realpolitik shaped in part by interactions between the industry, Higher Education (HE) and professional practice. That premise also has a global perspective. Building on the previous 2 papers, Architectural technology and the BIM Acronym 1 and 2, this third iteration is a synthesis of research and investigations carried out over a number of years directly related to the practical implementation of BIM and its impact upon BE SMEs. First challenges, risks and potential benefits for SMEs and micros in facing up to the necessity to engage with digital tools in a competitive and volatile marketplace are discussed including tailoring BIM to suit business models, and filtering out achievable BIM outcomes from generic and bespoke aspects of practice. Second the focus is on setting up and managing teams engaging with BIM scenarios, including the role of clients; addresses a range of paradigms including lonely BIM and collaborative working. The significance of taking a whole life view with BIM is investigated including embedding soft landings principles into project planning and realisation. Thirdly procedures for setting up and managing common data environments are identified and the value of achieving smooth information flow is addressed. The overall objective of this paper is to provide SMEs with a practical strategy to develop a toolkit to BIM implementation.

Comparing Common Data Environment Platforms for Student Collaborative Working: A Case Study from Ulster University

PAS1192-2 (2013) outlines the “fundamental principles of Level 2 information modeling”, one of these principles is the use of what is commonly referred to as a Common Data Environment (CDE). A CDE could be described as an internet-enabled cloudhosting platform, accessible to all construction team members to access shared project information. For the construction sector to achieve increased productivity goals, the next generation of industry professionals will need to be educated in a way that provides them with an appreciation of Building Information Modelling (BIM) working methods, at all levels, including an understanding of how data in a CDE should be structured, managed, shared and published. This presents a challenge for educational institutions in terms of providing a CDE that addresses the requirements set out in PAS1192-2, and mirrors organisational and professional working practices without causing confusion due to over complexity. This paper presents the findings of a two-year study undertaken at Ulster University comparing the use of a leading industry CDE platform with one derived from the in-house Virtual Learning Environment (VLE), for the delivery of a student BIM project. The research methodology employed was a qualitative case study analysis, focusing on observations from the academics involved and feedback from students. The results of the study show advantages for both CDE platforms depending on the learning outcomes required.

The Impact of the Collaborative Economy on the Labour Market. CEPS Special Report No. 138, June 2016

The digitalisation of work is creating new ways of intermediating work, with for example platforms intermediating work between individuals online. These so-called online collaborative platforms have the potential to fundamentally change the labour market, but for the moment, with an estimated 100,000 active workers or 0.05% of total employees in the EU, they do not seem to have a large impact on the offline/traditional labour market or the create/destroy impetus. This paper analyses the direct and indirect impact of the collaborative economy on the labour market. The findings, based on a collection of empirical studies, suggest that most workers do not earn their main income through online platforms and they obtain earnings from different types of platforms. Earnings from physical/local services are, in general, substantially higher than virtual services that can potentially be delivered globally. The paper also assesses the conditions, number of hours worked and employment status, compared to the offline labour market, and finds shows large differences across types of workers, platforms, and countries. The emergence of online collaborative platforms poses some challenges and opportunities for policy-makers. On the one hand, they may be challenged to ensure minimum remuneration, fair evaluation, tax declaration and social protection, and reduction of the administrative burden. On the other hand, the new technologies may provide opportunities to (partially) liberate some professional services and activate specific groups at a distance away from the labour market. This paper was commissioned by the European Commission as input into its European Agenda for the Collaborative Economy. This Ag

Advanced filtering and prediction software for urban traffic control systems. Final report.

Transportation Department, Office of University Research, Washington, D.C.

Digital filtering using burst processing techniques /

Thesis (M. S.)--University of Illinois at Urbana-Champaign.

Experimental results for logical filtering of digitized pictures /

"*This work was supported in part by the U.S. Atomic Energy Commission under Contract No. AT911-1)-1018."

Reference materials for collaborative tests of air quality methods /

Mode of access: Internet.

Research in gum, dust and rust filtering.

cover-title

Concorde air sampling program : intercalibrations and collaborative measurements /

Mode of access: Internet.