Searched for: subject%3A%22Big%255C+Data%22
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Bai, N. (author), Ducci, Marta (author), Mirzikashvili, Rusudan (author), Nourian, Pirouz (author), Pereira Roders, A. (author)
The UNESCO 2011 Recommendation on the Historic Urban Landscape promotes to map cultural significance of urban heritage from the perspectives of the general public in pursuit of social inclusion in heritage management. The user-generated information already available on social media platforms in the form of images, comments, and ratings can be...
conference paper 2023
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Cromjongh, Casper (author), Tian, Y. (author), Hofstee, H.P. (author), Al-Ars, Z. (author)
In spite of progress on hardware design languages, the design of high-performance hardware accelerators forces many design decisions specializing the interfaces of these accelerators in ways that complicate the understanding of the design and hinder modularity and collaboration. In response to this challenge, Tydi is presented as an open...
conference paper 2023
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Mostafavi, F. (author), Khademi, S. (author)
Residential buildings are responsible for a considerable share of energy consumption and carbon emission. To decarbonize by 2050, as agreed in the Paris Climate Accord, immediate action for lowering the environmental impact of the building sector is needed. Environmental building design is a promising path, particularly during the early-stage...
conference paper 2023
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Mrozek, Michal (author), Sirenko, M. (author), Foks-Ryznar, Anna (author), Sawicki, Bartosz (author)
The paper presents a web-based system designed to visualize a simulation of ca. 500,000 residents of a city during the COVID-19 outbreak. Each agent's infection status and mobility are presented in the time scale. The main effort was to ensure simplicity from the user's perspective and smooth operation on various client devices. The full range...
conference paper 2022
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Ahmad, T. (author), Ma, Chengxin (author), Al-Ars, Z. (author), Hofstee, H.P. (author)
Current cluster scaled genomics data processing solutions rely on big data frameworks like Apache Spark, Hadoop and HDFS for data scheduling, processing and storage. These frameworks come with additional computation and memory overheads by default. It has been observed that scaling genomics dataset processing beyond 32 nodes is not efficient on...
conference paper 2022
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Hoozemans, J.J. (author), Tervo, Kati (author), Jaaskelainen, Pekka (author), Al-Ars, Z. (author)
Many applications make extensive use of various forms of compression techniques for storing and communicating data. As decompression is highly regular and repetitive, it is a suitable candidate for acceleration. Examples are offloading (de)compression to a dedicated circuit on a heterogeneous System-on-Chip, or attaching FPGAs or ASICs...
conference paper 2021
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Karagoz, G. (author)
We live in an era in which a myriad of computer systems produce immense amounts of (raw) data every day. This big data must be processed efficiently to gain valuable and hidden knowledge. Complex processing pipelines need to be designed for filtering out irrelevant data, also for efficient data mining and machine learning methods must be used...
conference paper 2021
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Ghiassi, S. (author), Birke, Robert (author), Chen, Lydia Y. (author)
Big Data systems allow collecting massive datasets to feed the data hungry deep learning. Labelling these ever-bigger datasets is increasingly challenging and label errors affect even highly curated sets. This makes robustness to label noise a critical property for weakly-supervised classifiers. The related works on resilient deep networks...
conference paper 2021
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Brous, P.A. (author), Janssen, M.F.W.H.A. (author), Krans, Rutger (author)
More and more, asset management organizations are introducing data science initiatives to support predictive maintenance and anomaly detection. Asset management organizations are by nature data intensive to manage their assets like bridges, dykes, railways and roads. For this, they often implement data lakes using a variety of architectures...
conference paper 2020
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Ahmad, T. (author), Ahmed, N. (author), Peltenburg, J.W. (author), Al-Ars, Z. (author)
The rapidly growing size of genomics data bases, driven by advances in sequencing technologies, demands fast and cost-effective processing. However, processing this data creates many challenges, particularly in selecting appropriate algorithms and computing platforms. Computing systems need data closer to the processor for fast processing....
conference paper 2020
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Omranian Khorasani, S. (author), Rellermeyer, Jan S. (author), Epema, D.H.J. (author)
The demand for additional performance due to the rapid increase in the size and importance of data-intensive applications has considerably elevated the complexity of computer architecture. In response, systems offer pre-determined behaviors based on heuristics and then expose a large number of configuration parameters for operators to adjust...
conference paper 2019
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Peltenburg, J.W. (author), van Straten, J. (author), Wijtemans, L. (author), Van Leeuwen, Lars (author), Al-Ars, Z. (author), Hofstee, H.P. (author)
Modern big data systems are highly heterogeneous. The components found in their many layers of abstraction are often implemented in a wide variety of programming languages and frameworks. Due to language implementation differences, interfaces between these components, including hardware accelerated components, are often burdened by...
conference paper 2019
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Rukanova, B.D. (author), Tan, Y. (author)
This paper is largely empirically driven and reflects research and insights gained in the last 13 years of involvement in a series of innovation projects (ITAIDE, CASSANDRA, CORE1, PROFILE2) related to scaling-up digital infrastructures in the area of international trade. Most of the project efforts and related research have been focus on the...
conference paper 2019
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Rukanova, B.D. (author), Tan, Y. (author), Slegt, Micha (author), Molenhuis, Marcel (author), Van Rijnsoever, Ben (author), Plecko, Krunoslav (author), Caglayan, Bora (author), Shorten, Gavin (author)
Big data and analytics have received a lot of attention in e-government research over the last decade and practitioners and researchers are looking into the transformative power of this technology to create for example competitive advantage, and increase transparency. Recent research points out that while parties are aware of the transformative...
conference paper 2019
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Cunningham, S. (author), Verbraeck, A. (author)
There is an increasing practice of combining various sorts of data from the city to obtain a comprehensive operating picture for urban managers. The sorts of data being combined includes administrative data, sensor and transactional data, and social media data. In order for these practices to fulfil their full promises it is important that...
conference paper 2019
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Rellermeyer, Jan S. (author), Omranian Khorasani, S. (author), Graur, Dan (author), Parthasarathy, Apourva (author)
Emerging Big Data analytics and machine learning applications require a significant amount of computational power. While there exists a plethora of large-scale data processing frameworks which thrive in handling the various complexities of data-intensive workloads, the ever-increasing demand of applications have made us reconsider the...
conference paper 2019
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Rehena, Z. (author), Janssen, M.F.W.H.A. (author)
In the last few years, the smart city concept resulted in the development and deployment of platforms for providing innovative services to improve sustainability and the living standards. These platforms integrate data collected from devices and citizen-generated data and thereafter employ big data analytics to create insights from the data....
conference paper 2018
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Thoen, Sebastiaan (author), Tavasszy, Lorant (author), Correia, Gonçalo (author), van Duin, Ron (author), de Bok, M.A. (author)
Tourformatie is kenmerkend aan goederenwegvervoer, niet zelden worden meerdere zendingen in een rit vervoerd. Toch wordt dit aspect vaak over het hoofd gezien in goederenvervoermodellen. Wanneer tourformatie wel wordt toegepast, dan worden vaak geen zendingen gemodelleerd, is het modelgedrag niet gebaseerd op empirische data, of wordt slechts...
conference paper 2018
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Uta, Alexandru (author), Varbanescu, A.L. (author), Musaafir, Ahmed (author), Lemaire, Chris (author), Iosup, A. (author)
The question 'Can big data and HPC infrastructure converge?' has important implications for many operators and clients of modern computing. However, answering it is challenging. The hardware is currently different, and fast evolving: big data uses machines with modest numbers of fat cores per socket, large caches, and much memory, whereas HPC...
conference paper 2018
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Jiang, X. (author)
Structural integrity assessment is the study of the safe design and assessment of components and structures under loads, and has become increasingly important in engineering design. The technology and applications of structural integrity widely range from transportation, oil and gas, power generation to petrochemical, nuclear sectors, etc. In...
conference paper 2018
Searched for: subject%3A%22Big%255C+Data%22
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