Urban Hydroinformatics: Past, Present and Future

Hydroinformatics, as an interdisciplinary domain that blurs boundaries between water science, data science and computer science, is constantly evolving and reinventing itself. At the heart of this evolution, lies a continuous process of critical (self) appraisal of the discipline’s past, present and potential for further evolution, that creates a positive feedback loop between legacy, reality and aspirations. The power of this process is attested by the successful story of hydroinformatics thus far, which has arguably been able to mobilize wide ranging research and development and get the water sector more in tune with the digital revolution of the past 30 years. In this context, this paper attempts to trace the evolution of the discipline, from its computational hydraulics origins to its present focus on the complete socio-technical system, by providing at the same time, a functional framework to improve the understanding and highlight the links between different strands of the state-of-art hydroinformatic research and innovation. Building on this state-of-art landscape, the paper then attempts to provide an overview of key developments that are coming up, on the discipline’s horizon, focusing on developments relevant to urban water management, while at the same time, highlighting important legal, ethical and technical challenges that need to be addressed to ensure that the brightest aspects of this potential future are realized. Despite obvious limitations imposed by a single paper’s ability to report on such a diverse and dynamic field, it is hoped that this work contributes to a better understanding of both the current state of hydroinformatics and to a shared vision on the most exciting prospects for the future evolution of the discipline and the water sector it serves.

Download Full-text

Virtual European Solar & Planetary Access (VESPA): Progress and prospects

10.5194/epsc2020-190 ◽

2020 ◽

Author(s):

Stéphane Erard ◽

Baptiste Cecconi ◽

Pierre Le Sidaner ◽

Angelo Pio Rossi ◽

Carlos Brandt ◽

...

Keyword(s):

Distribution System ◽

Data Science ◽

Large Data ◽

Open Science ◽

Planetary Science ◽

Science Data ◽

Horizon 2020 ◽

Data Services ◽

Related Data ◽

Research And Innovation

The H2020 Europlanet-2020 programme, which ended on Aug 31st, 2019, included an activity called VESPA (Virtual European Solar and Planetary Access), which focused on adapting Virtual Observatory (VO) techniques to handle Planetary Science data [1] [2]. The outcome of this activity is a contributive data distribution system where data services are located and maintained in research institutes, declared in a registry, and accessed by several clients based on a specific access protocol. During Europlanet-2020, 52 data services were installed, including the complete ESA Planetary Science Archive, and the outcome of several EU funded projects. Data are described using the EPN-TAP protocol, which parameters describe acquisition and observing conditions as well as data characteristics (physical quantity, data type, etc). A main search portal has been developed to optimize the user experience, which queries all services together. Compliance with VO standards ensures that existing tools can be used as well, either to access or visualize the data. In addition, a bridge linking the VO and Geographic Information Systems (GIS) has been installed to address formats and tools used to study planetary surfaces; several large data infrastructures were also installed or upgraded (SSHADE for lab spectroscopy, PVOL for amateurs images, AMDA for plasma-related data).In the framework of the starting Europlanet-2024 programme, the VESPA activity will complete this system even further: 30-50 new data services will be installed, focusing on derived data, and experimental data produced in other Work Packages of Europlanet-2024; connections between PDS4 and EPN-TAP dictionaries will make PDS metadata searchable from the VESPA portal and vice versa; Solar System data present in astronomical VO catalogues will be made accessible, e.g. from the VizieR database. The search system will be connected with more powerful display and analysing tools: a run-on-demand platform will be installed, as well as Machine Learning capacities to process the available content. Finally, long-term sustainability will be improved by setting VESPA hubs to assist data providers in maintaining their services, and by using the new EU-funded European Open Science Cloud (EOSC). In addition to favoring data exploitation, VESPA will provide a handy and economical solution to Open Science challenges in the field.The Europlanet 2020 & 2024 Research Infrastructure project have received funding from the European Union's Horizon 2020 research and innovation programme under grant agreements No 654208 & 871149.[1]&#160;Erard et al 2018, Planet. Space Sci. 150, 65-85. 10.1016/j.pss.2017.05.013. ArXiv 1705.09727&#160;&#160;[2]&#160;Erard et al. 2020, Data Science Journal 19, 22. doi: 10.5334/dsj-2020-022.

Download Full-text

Deep Learning and Big Data in Healthcare: A Double Review for Critical Beginners

Applied Sciences ◽

10.3390/app9112331 ◽

2019 ◽

Vol 9 (11) ◽

pp. 2331 ◽

Cited By ~ 6

Author(s):

Luis Bote-Curiel ◽

Sergio Muñoz-Romero ◽

Alicia Gerrero-Curieses ◽

José Luis Rojo-Álvarez

Keyword(s):

Big Data ◽

Deep Learning ◽

Data Science ◽

Critical Discussion ◽

Healthcare Sector ◽

Simple Description ◽

Future Evolution ◽

Success Stories ◽

Current State ◽

Application Fields

In the last few years, there has been a growing expectation created about the analysis of large amounts of data often available in organizations, which has been both scrutinized by the academic world and successfully exploited by industry. Nowadays, two of the most common terms heard in scientific circles are Big Data and Deep Learning. In this double review, we aim to shed some light on the current state of these different, yet somehow related branches of Data Science, in order to understand the current state and future evolution within the healthcare area. We start by giving a simple description of the technical elements of Big Data technologies, as well as an overview of the elements of Deep Learning techniques, according to their usual description in scientific literature. Then, we pay attention to the application fields that can be said to have delivered relevant real-world success stories, with emphasis on examples from large technology companies and financial institutions, among others. The academic effort that has been put into bringing these technologies to the healthcare sector are then summarized and analyzed from a twofold view as follows: first, the landscape of application examples is globally scrutinized according to the varying nature of medical data, including the data forms in electronic health recordings, medical time signals, and medical images; second, a specific application field is given special attention, in particular the electrocardiographic signal analysis, where a number of works have been published in the last two years. A set of toy application examples are provided with the publicly-available MIMIC dataset, aiming to help the beginners start with some principled, basic, and structured material and available code. Critical discussion is provided for current and forthcoming challenges on the use of both sets of techniques in our future healthcare.

Download Full-text

PROFESSIONAL TRAINING OF ELECTRONICS ENGINEERS: APPLYING US EXPERICENCE TO UKRAINAN HIGHER EDUCATION INSTITUTIONS

Continuing Professional Education Theory and Practice ◽

10.28925/1609-8595.2020.1.12 ◽

2020 ◽

pp. 80-85

Author(s):

Olha Pavlenko

Keyword(s):

Higher Education ◽

Education Research ◽

Best Practices ◽

Cost Reduction ◽

Professional Training ◽

Higher Education Institutions ◽

Academic Staff ◽

Research And Innovation ◽

Current State

The article discusses the current state of professional training of engineers, in particular, electronics engineers in Ukrainian higher education institutions (HEIs) and explores best practices from US HEIs. The research outlines the features of professional training of electronics engineers and recent changes in Ukrainian HEIs. Such challenges for Ukrainian HEIs as lack of collaboration between higher education and science with industry, R&D cost reduction for HEIs, and downsizing the research and academic staff, the disparity between the available quality of human capital training and the demanded are addressed. The study attempts to identify successful practices of US HEIs professional training of engineers in order to suggest potential improvements in education, research, and innovation for training electronics engineers in Ukraine.

Download Full-text

Movie Envy

The Oxford Handbook of Canadian Cinema ◽

10.1093/oxfordhb/9780190229108.013.5 ◽

2019 ◽

pp. 70-80

Author(s):

Olivier Asselin

Keyword(s):

Point Of View ◽

Digital Revolution ◽

The Past ◽

Current State ◽

Movie Theatre ◽

The Relationship

“Canadian cinema.” The term may appear self-evident but is problematic. First, one may question the value of national approaches to culture, especially here, in Quebec and Canada, where the debates over the Nation seem interminable, and especially now, in an era of globalization. Next, one may question the value of media-centered approaches to culture, especially when the successive waves of the “digital revolution” have blurred the boundaries between technologies and among artistic practices. Rather than try to survey “important” fiction films for theatres in Quebec or Canada, this essay adopts another point of view to examine the presence of cinema in Montreal museums over the past few years by focusing on three singular exhibitions. It may well be symptomatic of the current state of film in Quebec and Canada—but also, paradoxically, everywhere else—and says much about the relationship between medium and nation, the expansion of cinema beyond the movie theatre, and the internationalization of culture.

Download Full-text

Surface modification on aluminum metal matrix composite for high strength application -Current state of art

Materials Today Proceedings ◽

10.1016/j.matpr.2020.11.135 ◽

2020 ◽

Author(s):

P. Ashwath ◽

M. Anthony Xavior

Keyword(s):

Surface Modification ◽

Metal Matrix Composite ◽

Matrix Composite ◽

Metal Matrix ◽

High Strength ◽

Current State ◽

Aluminum Metal ◽

Aluminum Metal Matrix Composite ◽

State Of Art

Download Full-text

Endoscopic Spine Surgery: Current State of Art and the Future Perspective

Asian Spine Journal ◽

10.4184/asj.2018.12.1.1 ◽

2018 ◽

Vol 12 (1) ◽

pp. 1-2 ◽

Cited By ~ 7

Author(s):

Andrew Seok Min Moon ◽

Sakthivel Rajan Rajaram Manoharan

Keyword(s):

Spine Surgery ◽

Future Perspective ◽

Endoscopic Spine Surgery ◽

Current State ◽

The Future ◽

State Of Art

Download Full-text

Endogenous and Exogenous Ligands of Aryl Hydrocarbon Receptor: Current State of Art

Current Drug Metabolism ◽

10.2174/138920011795016818 ◽

2011 ◽

Vol 12 (2) ◽

pp. 198-212 ◽

Cited By ~ 124

Author(s):

Lucie Stejskalova ◽

Zdenek Dvorak ◽

Petr Pavek

Keyword(s):

Aryl Hydrocarbon Receptor ◽

Aryl Hydrocarbon ◽

Current State ◽

Exogenous Ligands ◽

State Of Art

Download Full-text

ARESIBO HORIZON 2020 EUROPEAN RESEARCH PROJECT – ENRICHED SITUATION AWARENESS FOR BORDER SURVEILLANCE

STRATEGIES XXI - Command and Staff College ◽

10.53477/2668-2028-21-31 ◽

2021 ◽

Vol 17 (1) ◽

pp. 247-255

Author(s):

Konstantinos CHARISI ◽

Andreas TSIGOPOULOS ◽

Spyridon KINTZIOS ◽

Vassilis PAPATAXIARHIS

Keyword(s):

Augmented Reality ◽

Situation Awareness ◽

User Interfaces ◽

Border Security ◽

Multiple Sources ◽

Horizon 2020 ◽

Research And Innovation ◽

Current State ◽

Available Information ◽

User Friendly

Abstract. The paper aims to introduce the ARESIBO project to a greater but targeted audience and outline its main scope and achievements. ARESIBO stands for “Augmented Reality Enriched Situation awareness for Border security”. In the recent years, border security has become one of the highest political priorities in EU and needs the support of every Member State. ARESIBO project is developed under HORIZON 2020 EC Research and Innovation program and it is the joint effort of 20 participant entities from 11 countries. Scientific excellence and technological innovation are top priorities as ARESIBO enhances the current state-of-the-art through technological breakthroughs in Mobile Augmented Reality and Wearables, Robust and Secure Telecommunications, Robots swarming technique and Planning of Context-Aware Autonomous Missions, and Artificial Intelligence (AI), in order to implement user-friendly tools for border and coast guards. The system aims to improve the cognitive capabilities and the perception of border guards through intuitive user interfaces that will help them acquire an improved situation awareness by filtering the huge amount of available information from multiple sources. Ultimately, it will help them respond faster and more effectively when a critical situation occurs.

Download Full-text