scholarly journals Exploring the technical challenges of large-scale lifelogging

2013 ◽  
Author(s):  
Cathal Gurrin ◽  
Alan F. Smeaton ◽  
Zhengwei Qiu ◽  
Aiden Doherty
Keyword(s):  
Large Scale ◽  
Technical Challenges

scholarly journals The Technical Challenges Facing the Integration of Small-Scale and Large-scale PV Systems into the Grid: A Critical Review

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1443 ◽  
Author(s):  
Abdullah Alshahrani ◽  
Siddig Omer ◽  
Yuehong Su ◽  
Elamin Mohamed ◽  
Saleh Alotaibi
Keyword(s):  
Large Scale ◽  
Distribution Network ◽  
Small Scale ◽  
Energy Access ◽  
Solar Pv ◽  
Pv System ◽  
Pv Systems ◽  
Technical Challenges ◽  
Technical Solutions ◽  
The Impact

Decarbonisation, energy security and expanding energy access are the main driving forces behind the worldwide increasing attention in renewable energy. This paper focuses on the solar photovoltaic (PV) technology because, currently, it has the most attention in the energy sector due to the sharp drop in the solar PV system cost, which was one of the main barriers of PV large-scale deployment. Firstly, this paper extensively reviews the technical challenges, potential technical solutions and the research carried out in integrating high shares of small-scale PV systems into the distribution network of the grid in order to give a clearer picture of the impact since most of the PV systems installations were at small scales and connected into the distribution network. The paper reviews the localised technical challenges, grid stability challenges and technical solutions on integrating large-scale PV systems into the transmission network of the grid. In addition, the current practices for managing the variability of large-scale PV systems by the grid operators are discussed. Finally, this paper concludes by summarising the critical technical aspects facing the integration of the PV system depending on their size into the grid, in which it provides a strong point of reference and a useful framework for the researchers planning to exploit this field further on.

Performing Hanne Darboven's Opus 17a and long duration minimalist music

2018 ◽  
Author(s):  
Michael Duch
Keyword(s):  
Large Scale ◽  
Double Bass ◽  
Long Duration ◽  
Musical Scores ◽  
Continuous Stream ◽  
Technical Challenges ◽  
The Many ◽  
Mathematical Systems

Hanne Darboven’s (1941-2009) Opus 17a is a composition for solo double bass that is rarely performed due to the physical and mental challenges involved in its performance. It is one of four opuses from the composers monumental 1008 page Wünschkonzert (1984), and was composed during her period of making “mathematical music” based on mathematical systems where numbers were assigned to certain notes and translated to musical scores. It can be described as large-scale minimalism and it is highly repetitive, but even though the same notes and intervals keep repeating, the patterns slightly change throughout the piece. This is an attempt to unfold the many challenges of both interpreting, preparing and performing this 70 minute long solo piece for double bass consisting of a continuous stream of eight notes. It is largely based on my own experiences of preparing, rehearsing and performing Opus 17a, but also on interviews I have conducted with fellow bass players Robert Black and Tom Peters, who have both made recordings of this piece as well as having performed it live. One is met with few instrumental technical challenges such as fingering, string crossing and bowing when performing Opus 17a, but because of its long duration what one normally would take for granted could possibly prove to be challenging.

Technical Challenges Towards an AAL Large Scale Deployment

2015 ◽  
pp. 3-14 ◽  
Author(s):  
Joaquim Bellmunt ◽  
Thibaut Tiberghien ◽  
Mounir Mokhtari ◽  
Hamdi Aloulou ◽  
Romain Endelin
Keyword(s):  
Large Scale ◽  
Technical Challenges

scholarly journals Transformation of electrical energy into hydrogen and its storage

2021 ◽  
Vol 136 (5) ◽  
Author(s):  
Manfred Wanner
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Large Scale ◽  
Electrical Energy ◽  
Public Debate ◽  
Energy Carrier ◽  
Economic Success ◽  
Gas Emissions ◽  
The Public ◽  
Technical Challenges

AbstractThe German national hydrogen strategy strongly supports the development of technologies to produce, store and distribute green hydrogen in large quantities to reduce greenhouse gas emissions. In the public debate, it is often argued that the economic success of green hydrogen depends primarily on improved efficiencies, and reduced plant costs over large volumes and higher capacities. However, an economy based on the large-scale use of green hydrogen must also take into account the thermodynamic and technical limitations of the processes and components. This study therefore aims to assess the main technical challenges of the German approach to the large-scale use green hydrogen as a future energy carrier.

scholarly journals Dynamic zoom simulations: A fast, adaptive algorithm for simulating light-cones

2020 ◽  
Vol 499 (2) ◽  
pp. 2685-2700
Author(s):  
Enrico Garaldi ◽  
Matteo Nori ◽  
Marco Baldi
Keyword(s):  
Numerical Simulations ◽  
Data Storage ◽  
Light Cone ◽  
Large Scale ◽  
Computational Cost ◽  
Work Load ◽  
Mass Function ◽  
Galaxy Surveys ◽  
Novel Approach ◽  
Technical Challenges

ABSTRACT The advent of a new generation of large-scale galaxy surveys is pushing cosmological numerical simulations in an uncharted territory. The simultaneous requirements of high resolution and very large volume pose serious technical challenges, due to their computational and data storage demand. In this paper, we present a novel approach dubbed dynamic zoom simulations – or dzs – developed to tackle these issues. Our method is tailored to the production of light-cone outputs from N-body numerical simulations, which allow for a more efficient storage and post-processing compared to standard comoving snapshots, and more directly mimic the format of survey data. In dzs, the resolution of the simulation is dynamically decreased outside the light-cone surface, reducing the computational work load, while simultaneously preserving the accuracy inside the light-cone and the large-scale gravitational field. We show that our approach can achieve virtually identical results to traditional simulations at half of the computational cost for our largest box. We also forecast this speedup to increase up to a factor of 5 for larger and/or higher resolution simulations. We assess the accuracy of the numerical integration by comparing pairs of identical simulations run with and without dzs. Deviations in the light-cone halo mass function, in the sky-projected light-cone, and in the 3D matter light-cone always remain below 0.1 per cent. In summary, our results indicate that the dzs technique may provide a highly valuable tool to address the technical challenges that will characterize the next generation of large-scale cosmological simulations.

scholarly journals Radio Continuum Surveys with Square Kilometre Array Pathfinders

2013 ◽  
Vol 30 ◽  
Author(s):  
Ray P. Norris ◽  
J. Afonso ◽  
D. Bacon ◽  
Rainer Beck ◽  
Martin Bell ◽  
...  
Keyword(s):  
The Netherlands ◽  
Large Scale ◽  
Cosmological Parameters ◽  
Cosmic Time ◽  
Radio Continuum ◽  
Careful Study ◽  
Square Kilometre Array ◽  
Data Intensive ◽  
Technical Challenges ◽  
Murchison Widefield Array

AbstractIn the lead-up to the Square Kilometre Array (SKA) project, several next-generation radio telescopes and upgrades are already being built around the world. These include APERTIF (The Netherlands), ASKAP (Australia), e-MERLIN (UK), VLA (USA), e-EVN (based in Europe), LOFAR (The Netherlands), MeerKAT (South Africa), and the Murchison Widefield Array. Each of these new instruments has different strengths, and coordination of surveys between them can help maximise the science from each of them. A radio continuum survey is being planned on each of them with the primary science objective of understanding the formation and evolution of galaxies over cosmic time, and the cosmological parameters and large-scale structures which drive it. In pursuit of this objective, the different teams are developing a variety of new techniques, and refining existing ones. To achieve these exciting scientific goals, many technical challenges must be addressed by the survey instruments. Given the limited resources of the global radio-astronomical community, it is essential that we pool our skills and knowledge. We do not have sufficient resources to enjoy the luxury of re-inventing wheels. We face significant challenges in calibration, imaging, source extraction and measurement, classification and cross-identification, redshift determination, stacking, and data-intensive research. As these instruments extend the observational parameters, we will face further unexpected challenges in calibration, imaging, and interpretation. If we are to realise the full scientific potential of these expensive instruments, it is essential that we devote enough resources and careful study to understanding the instrumental effects and how they will affect the data. We have established an SKA Radio Continuum Survey working group, whose prime role is to maximise science from these instruments by ensuring we share resources and expertise across the projects. Here we describe these projects, their science goals, and the technical challenges which are being addressed to maximise the science return.

scholarly journals Ethical and technical challenges of AI in tackling hate speech

2021 ◽  
Vol 29 ◽  
Author(s):  
Diogo Cortiz ◽  
Arkaitz Zubiaga
Keyword(s):  
Social Media ◽  
Large Scale ◽  
Information Overload ◽  
Scientific Literature ◽  
Hate Speech ◽  
Freedom Of Expression ◽  
Speech Detection ◽  
Detection Algorithms ◽  
Technical Challenges

In this paper, we discuss some of the ethical and technical challenges of using Artificial Intelligence for online content moderation. As a case study, we used an AI model developed to detect hate speech on social networks, a concept for which varying definitions are given in the scientific literature and consensus is lacking. We argue that while AI can play a central role in dealing with information overload on social media, it could cause risks of violating freedom of expression (if the project is not well conducted). We present some ethical and technical challenges involved in the entire pipeline of an AI project - from data collection to model evaluation - that hinder the large-scale use of hate speech detection algorithms. Finally, we argue that AI can assist with the detection of hate speech in social media, provided that the final judgment about the content has to be made through a process with human involvement.

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