GPU + In-Memory Data Management for Big Data Analytics

In this project, we develop a toolchain based on In-Memory Data Management and Parallel Data Processing in the GPU using CUDA for large and intensive Smart Meter analytics. The global rollout of Smart Meters opens a new business paradigm for utilities with data collection/transaction at such a high volume and velocity. For instance, a million […]

SDSC-BW: Potential Analysis for Leather-Cutting Optimization

As part of the Smart Data Solution Center Baden-Württemberg (SDSC-BW), the Karlsruhe Institute of Technology (KIT) conducted a potential analysis for leather-offcut optimization on behalf of Rolf Benz in the Smart Data Innovation Lab. Within the process of evaluating and planning leather cuttings, diverse data become available. The priority will be the quality of the […]

MedTrend1: Smart Data Prediction of Trends in Medicine

The availability of immense amounts of data offers the potential to understand complex relationships not only with recourse to the underlying processes but through the smart monitoring of their results. MedTrend1 is a proof-of-concept study that aims at identifying social trends with medical relevance out of large amounts of Smart Data. For a successful study, […]

SmartFactoryKL

SmartFactoryKL

Predictive maintenance data analysis using SmartFactoryKL-generated data

SDI-X

SDI-X

Smart Data Innovation processes, tools and operational concepts.

VDAR: Distributed Decentralized Autonomous Control Systems for Distributed Energy Markets

The VDAR-project goes back to the framework project “Software Campus” supported by the Federal Ministry of Education and Research (BMBF). In this project, the energy data from electricity grid (such as consumption data, capacity information, etc.) and electricity market (such as supply and demand, price information, etc.) are analyzed for evaluating the concept of a […]

Association Rule Mining for High Dimensional Master Data

There are various approaches to association rule mining in large data sets. Typical applications are in market basket analyses, medical diagnosis, biomedical literature, protein sequences, census data, logistic regression and fraud detection. There are not many known approaches to association rule mining for Master Data. However, Master Data are a key asset for enterprises today. […]

ABB

ABB

Association analysis for data-driven services based on industrial log files