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Experience Measurement

/en/research-topics/experience-measurement

constraints. Data driven (in sync with the current developments of big data research) insights into actual use, mapped to well understood quality factors (experience factors), is a big gain towards i [...] the last years. In this respect, the ability to acquire, process and understand experience-related data in a reliable, valid and objective fashion has become prerequisite for benchmarking and improving

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71%

Design of Responsive Mobility Systems

/en/research-topics/integrated-mobility-systems/design-of-responsive-mobility-systems

ture. Pervasive computing (e.g. ubiquitous sensors, wireless networks, and analysis of big and heterogeneous data) and Internet of Things (IoT) provide great possibilities to improve the quality of densely [...] groups. We study human perception in the context of urban mobility systems by making use of different data sources and work on methods to improve the built environment (e.g. with respect to walkability) and [...] preferences (SP and RP) by developing specialized survey methods that reduce the hypothetical bias of SP-data. Another focus will be the provision of personalized routing services based on user classification

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39%

Travel Demand Measurement from Big Data Resources

/en/research-topics/mobility-data-collection-and-analysis/travel-demand-measurement-from-big-data-resources

Travel Demand Measurement from Big Data Resources Travel Demand Measurement from Big Data Resources Mobility of people is the result of a travel demand for activities such as working, shopping, education [...] develops novel techniques for exploiting big data resources such as sensor data of smartphones, communication signals between smartphones and cell towers and other data resources for obtaining timely and accurate [...] privacy-aware techniques for measuring travel demand from large scale sensor data. Automatic collection and analysis of data about people’s mobility behaviour is important for preparing and assessing urban

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76%

Geo-spatial big data analytics

/en/research-topics/mobility-data-collection-and-analysis/geo-spatial-big-data-analytics

Geo-spatial big data analytics Geo-spatial big data analytics Developing technically sound and efficient solutions for mobility data collection and analysis from machine-generated sensor data poses multiple [...] tion network datasets, and intuitive visualization of both raw data and analyzed mobility data. AIT has profound competencies in big data and geo-spatial database management, statistical learning, and [...] Patterns in Cell Phone Data "; Transportation, 42 (2015), 4; 597 - 623. M. Ulm, P. Widhalm, N. Brändle: " Characterization of mobile phone localization errors with OpenCellID data "; in:" 4th International

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77%

PRAETORIAN

/en/research-topics/dependable-systems-engineering/projects/praetorian

technology for analysis and simulation, Training of a model of the critical infrastructures with big data and AI technologies, Identification of cascade effects between the critical infrastructures. The

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48%

Datenanalyse für Einsteiger aus der Technikbranche

/en/themen/training-education/weiterbildung-im-bereich-photovoltaik/lehrgang-datenanalyse-fuer-einsteiger-aus-der-technikbranche

einen großen Funktionsumfang zu beherrschen (Datenbanken, Cloudinfrastruktur, Machine Learning, Big Data, …). In der Weiterbildung wird daher mit der Open Source Software KNIME und der kommerziellen Software

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33%

Smart Spatial Planning

/en/solutions/digital-resilient-cities-and-regions/smart-spatial-planning

urban isn’t on its way: we’re applying it now. We develop and apply cutting-edge tools, while using big data and AI for smart urban planning and management. We believe that today’s complexities call for highly [...] and private businesses to: build data-informed scenarios for their strategic planning; use AI to design new districts; visualise urban complexities; and identify which data and tools are needed to reap the [...] new planning experiences and insights combing novel digital methods like augmented reality. Spatial Data Analytics We mine cities for information in order to visualise and plan their future. In doing so

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65%

Data driven performance and failure diagnosis of PV syste

/en/solutions/photovoltaic-modules-power-plants/data-driven-performance-and-failure-diagnosis-of-pv-systems

Data driven performance and failure diagnosis of PV syste Data driven performance and failure diagnosis of PV systems Digital technologies are widely used in PV power plants operation to increase asset [...] n of data analytics and machine learning algorithms Simulation of performance models (“Digital Twins”) to detect system performance deviations and classification of system failures based on data feeds [...] feeds Correction of sensor measurement uncertainties Visualization of “Big Data” Your benefits Visualized insights and actions of your PV power plants Detection and interpretation of failures Actions

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69%

OptiMaaS

/en/research-topics/transport-optimization-logistics/projects/optimaas

Mobility as a Service (MaaS) offers. Existing spatial structures within the urban periphery have a big impact on the citizens’ mobility options. OptiMaaS develops new methods and processes addressing the [...] implemented in urban periphery considering geographic, demographic, infrastructural and sociodemographic data and (2) how an adequate MaaS-operator-landscape, can be set up there. This leads to: a) planning-methods [...] improving the dissemination and social acceptance of MaaS-offers and builds a common ground for new, data-driven governance and city planning policies. The project OptiMaaS is being implemented as part of

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34%

MARNG

/en/research-topics/mobility-data-collection-and-analysis/projects/marng

concepts that will offer interoperability, safety, security, and performance. New data analysis methods, derived from the big data domain, will drive mission critical decision support for the maritime domain [...] . Due to coastal wide sensor networks the data load has increased exponentially and current system architectures are no longer sufficient to process that data efficiently. MARNG researches new concepts [...] (2020). The M³ massive movement model: a distributed incrementally updatable solution for big movement data exploration. International Journal of Geographical Information Science, 34(12), 2517-2540. doi:10

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75%

RETIDA

/en/research-topics/mobility-data-collection-and-analysis/projects/retida

enabling real-time data access for interactive scenarios on top of complex data-intensive workflows. The project REDITA develops a real-time data analytics platform enhancing an existing data pipeline toolchain [...] RETIDA Real-Time Data Analytics in the Mobility Domain The ever-increasing amount of data available in various research domains leads to new scientific and industrial challenges. The data captured and managed [...] produced continuously (data streams) and have a variety of formats ranging from text files (e.g. Twitter messages) to binary formats (cell phone data or GPS traces). Such heterogeneous data streams increase

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70%

Industrial Data Science

/en/research-topics/datascienceartificialintelligence/industrialdatascience

DSAI’s Industrial Data Science (IDS) portfolio can help firms make the most of their data, to conquer the digital transformation challenges. DSAI data analytics approaches span the entire data science lifecycle [...] analytics technology and big-data frameworks. Projects ABC BigDama Blockchain Grid COGNITUS Data Market Austria DeepRUL FlexProd × Kontakt Formular Pflichtfelder sind mit einem * markiert. Name * E-Mail [...] Industrial Data Science Industrial Data Science DSAI investigates and applies data analytics approaches to gain new insights in to industrial processes The digital transformation provides industries with

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80%

Seizure detection

/en/research-topics/biosignal-processing/seizure-detection

observation with epilepsy diagnostics significantly. Simultaneously to the recording EpiScan analyses the data and alerts quickly and reliably in case of an occurring seizure. This helps to save time and money [...] on the real requirements of an epilepsy observation unit and tested with more than 20.000 hours EEG data, the systems provide, online as well as offline, excellent detection rates with a very low false alarm [...] It is the first system, which is tested in the framework of prospective clinical studies in three big epilepsy centers in Austria and the Netherlands. Reference installations Neurologisches Zentrum Rosenhügel

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55%

Source localization

/en/research-topics/biosignal-processing/source-localization

seizure and spike detection and allows a quick source detection of spikes and ictal EEG activity. The big problem of current solutions for source localization is the extreme complexity of the available software [...] detection “EpiScan” facilitates the fully automatic workflow. Beside the preliminary analysis of the EEG data thus also the result of the source localization for all detected seizures and interictal discharges

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58%

Sitemap

/en/sitemap

STARLIGHT TITANIUM VIRTCRIME Data Science Our Offer Industrial Data Science Projects Data Science for Public Security Projects Cultural Data Science Projects Graph Analysis Big Data High Performance Computing [...] AIT-SA-20191129-01 AIT-SA-20200301-01 AIT-SA-20220208-01 Kunden & Partner Data Science & Artificial Intelligence Projekte AMMONIS Big-DAMA COGNITUS COPKIT DMA E-ARK EnrichEuropeana EnrichEuropeana+ Europeana [...] Vision 2014 Security Security 2014 Security 2012 Security 2010 Career Cooperative Digital Technologies Data Science & Artificial Intelligence Security & Communication Technologies Sensing & Vision Solutions

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27%

Blog

/en/blog

eight young female researchers who are ingenious in their research fields and who are taking AIT a big step forward in many respects. Innovation Art and science 24.01.2022 Since fall 2018, international [...] account and doesn't want to overtax the climate: The use of novel optical processes can revolutionize data transmission and drastically reduce its energy hunger. AIT photonics expert Bernhard Schrenk is working

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14%

SPARKS - Smart Grid Protection Against Cyber Attacks

/en/research-topics/smart-grid-security/projects/sparks-smart-grid-protection-against-cyber-attacks

security standards. Furthermore, key smart grid technologies will be investigated, such as the use of big data for security analytics in smart grids, and novel hardware-supported approaches for smart meter (gateway) [...] which maintain stable operation in the face of attack or disruption. Real-time network monitoring and data analysis is essential for building advanced SCADA-specific intrusion detection systems – SPARKS will

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51%

Insight into virtual currencies

/en/research-topics/datascienceartificialintelligence/unser-angebot/graphsense

GmbH, WU - Wirtschaftsuniversität Wien Insight into Virtual Currency Ecosystems by making use of Big Data Technology Bitcoin is the most prominent example of a virtual cryptocurrency and the use of Blockchain [...] features and describe their technical implementation , (III) and then focus on the computational (Big Data) challenges with building such a platform. (IV) possible future research directions. × Kontakt Formular [...] challenge of the GraphSense project lies in the structure and constantly growing volume of transaction data to be analysed. The current total of around 100 million individual transactions form a transaction

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67%

Digital Resilient Cities and Regions

/en/solutions/digital-resilient-cities-and-regions

our differentiator. We combine innovative processes with the latest digital planning tools using big data and Artificial Intelligence (AI). Transcending the boundaries of traditional disciplines and enhancing [...] urban isn’t on its way: we’re applying it now. We develop and apply cutting-edge tools, while using big data and AI for smart urban planning and management. We believe that today’s complexities call for highly [...] and private businesses to: build data-informed scenarios for their strategic planning; use AI to design new districts; visualise urban complexities; and identify which data and tools are needed to reap the

Relevance:

69%

Mode

/en/solutions/sensing-travel-behavior/mode

reliable recognition of the means of transport used, and travelled routes using smartphones. MODE: big data, big advantage Reliable identification of the used means of transport Easy integration in existing [...] applications Privacy and data protection are an inherent part of the software design concept Low impact on battery MODE, applied Next generation mobility surveys – superior data quality Multimodal e-ticketing [...] analysis The collected mobility data is sent to the AIT server for analysis and storage and made available for further processing via standardised interfaces. Privacy and data security have the highest priority

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74%

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