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A legitimate argument is that the public sector must restore its contribution to the financing of the new infrastructure. However, for both political and economic reasons, an increase in broad-based taxes or debt seems to be off the table; new funding vehicles are clearly necessary. This essay identifies value capture taxation as a partial solution to this infrastructure funding problem. Value capture is a set of techniques that take advantage of the increase in property values to finance service and infrastructure improvements.

SAIN4 is a project funded by the Valencian Institute for Business Competitiveness (IVACE) and the European Union through the European Regional Development Fund (FEDER). This document aims to specify the design of the global architecture of the Big Data Analytics and Data Capture infrastructure. The problem is divided into three levels: (i) conceptual architecture, which details the organization of the modules, components and elements interfaces, (ii) the software architecture in which the different services are described and technologies that make up the infrastructure, and (iii) the hardware architecture that describes the physical systems needed for the proposed architectural deployment. ; SAIN4. Project funded by the Valencian Institute of Business Competitiveness (IVACE) and European Union through the European Regional Development Fund (ERDF), within the public grant program adressed to Technological Institutes of the Valencian Community for 2016 with 67.395,60€. File number: IIMDEEA/2017/73

SAIN4 is a project funded by the Valencian Institute for Business Competitiveness (IVACE) and the European Union through the European Regional Development Fund (FEDER). The purpose of this document is to collect the results of the construction of the Big Data Analytics and Data Capture infrastructure, which will allow the digitization of the production processes and serve the Advanced Management System (AMS) of the data necessary for its operation. ; SAIN4. Project funded by the Valencian Institute of Business Competitiveness (IVACE) and European Union through the European Regional Development Fund (ERDF), within the public grant program adressed to Technological Institutes of the Valencian Community for 2016 with 67.395,60€. File number: IIMDEEA/2017/73

The aim of the study is to obtain fast digitalization of large urban settings. The data of two university campuses in two cities in northern Spain was captured. Challenges were imposed by the lockdown situation caused by the COVID-19 pandemic, which limited mobility and affected the field work for data readings. The idea was to significantly reduce time spent in the field, using a number of resources, and increasing efficiency as economically as possible. The research design is based on the Design Science Research (DSR) concept as a methodological approach to design the solutions generated by means of 3D models. The digitalization of the campuses is based on the analysis, evolution and optimization of LiDAR ALS points clouds captured by government bodies, which are open access and free. Additional TLS capture techniques were used to complement the clouds, with the study of support of UAV-assisted automated photogrammetric techniques. The results show that with points clouds overlapped with 360 images, produced with a combination of resources and techniques, it was possible to reduce the on-site working time by more than two thirds.

An innovative approach to post-crash credit portfolio management Credit portfolio managers traditionally rely on fundamental research for decisions on issuer selection and sector rotation. Quantitative researchers tend to use more mathematical techniques for pricing models and to quantify credit risk and relative value. The information found here bridges these two approaches. In an intuitive and readable style, this book illustrates how quantitative techniques can help address specific questions facing today's credit managers and risk analysts. A targeted volume in the area of credit, this reliable resource contains some of the most recent and original research in this field, which addresses among other things important questions raised by the credit crisis of 2008-2009. Divided into two comprehensive parts, Quantitative Credit Portfolio Management offers essential insights into understanding the risks of corporate bonds--spread, liquidity, and Treasury yield curve risk--as well as managing corporate bond portfolios. Presents comprehensive coverage of everything from duration time spread and liquidity cost scores to capturing the credit spread premium Written by the number one ranked quantitative research group for four consecutive years by Institutional Investor Provides practical answers to difficult question, including: What diversification guidelines should you adopt to protect portfolios from issuer-specific risk? Are you well-advised to sell securities downgraded below investment grade? Credit portfolio management continues to evolve, but with this book as your guide, you can gain a solid understanding of how to manage complex portfolios under dynamic events.

"This is a must-read how-to guide if you are planning to embark on a scholarly digitisation project. Tailored to the specifications of the British Library's EAP (Endangered Archives Programme) projects, it is full of sound, practical advice about planning and carrying out a successful digitisation project in potentially challenging conditions. From establishing the scope of the project, via practical considerations about equipment, work routines, staffing, and negotiating local politics, to backing up your data and successfully completing your work, Remote Capture walks you through every stage. Bursting with helpful hints, advice and experiences from people who have completed projects everywhere around the globe from Latin America to Africa to Asia, this book offers a taste of the challenges you might encounter and the best ways to find solutions. With a particular focus on the process of digitisation, whether using a camera or a scanner, Remote Capture is invaluable reading for anybody considering such a project. It will be particularly useful to those who apply for an EAP grant, but the advice in these pages is necessary for anyone wondering how to go about digitising an archive. "

Mit Techniken der Datenfusion lassen sich Datensätze aus unterschiedlichen Stichproben auf der Basis gemeinsamer Variablen mit Hilfe des statistischen Matchings verschmelzen. So entsteht eine virtuelle Stichprobe, die zwar vollständig, aber künstlich geschaffen ist. Fehlen in einer Stichprobe Informationen über ein Individuum, so werden sie auf der Basis der Daten eines anderen, sehr ähnlichen Individuums aus einer anderen Stichprobe abgeleitet. Die Verfasser diskutieren die Möglichkeiten der Datenfusionstechniken und stellen Parameter der Verteilung aller Variablen in der künstlichen Stichprobe auf. Von Interesse ist dabei besonders die Korrelation von nicht gemeinsam beobachteten Variablen, die nur mit Hilfe des Matchings geschätzt werden können. Simulationsstudien beschäftigen sich zudem mit den Einflüssen von nearest neighbour matches, sogenannten "Heiratsprozessen" und kleinen Stichprobenumfängen. (ICEÜbers)