Estimating the stress level of components while operation modes are varying is a key issue for many prognostic models in condition monitoring. The identification of operation profiles during production is therefore important. Clustering condition monitoring data with regard to operation regimes...

Cluster analysis by k-means algorithm by R programming applied for the geological data analysis is the scope of the presented paper. The research object is the Mariana Trench, a hadal trench located in west Pacific Ocean. The study evaluates the similarity of the geological data by the analysis...

1. Storage Usage in Kafka: Challenges, Strategies and Best Practices -- 2. Strategies for Aggregation, Data Cardinality and Batching -- 3. Understanding and Addressing Partition Skew in Kafka -- 4. Dealing with Skewed and Lost Leaders -- 5. CPU Saturation in Kafka: Causes, Consequences and...