Computers in Industry

Data needed to create the CPT of the target node in the Bayesian Network of the case study

Contains: transformed raw data, analyses on transformed data, and time series charts of the transformed data

Data reported in the file are collected from an experimental campaign involving 200 volonteers working in a company that has been involved in the proposed study. Unfortunately, due to confidentiality issues these data are not exhaustive; sensible data (as well as data directly traceable to sensible data) have been removed to avoid any issue with the company that has provided the case study.

Dataset used for training Tesseract OCR and the trained OCR model

The event Log of [B. Van Dongen, Real-life event logs - hospital log, 2011], available at: http://data.4tu.nl/repository/uuid:d9769f3d-0ab0-4fb8-803b-0d1120ffcf54 has been pre-processed (as it is described in §4.1 of the manuscript), and transformed into a case Log.

This dataset comprises about 300 gigabytes of continuous images of three different varieties of ring spun yarns, which represent several hundred meters of yarn length during production on a spinning frame. The same yarn specimens were tested using an offline laboratory scale yarn quality tester and the testing outcomes are provided within this data. The aim of publishing this dataset is to facilitate the development, validation and testing of online yarn quality control systems.

This dataset comprises about 300 gigabytes of continuous images of three different varieties of ring spun yarns, which represent several hundred meters of yarn length during production on a spinning frame. The same yarn specimens were tested using an offline laboratory scale yarn quality tester and the testing outcomes are provided within this data. The aim of publishing this dataset is to facilitate the development, validation and testing of online yarn quality control systems.

This dataset comprises about 300 gigabytes of continuous images of three different varieties of ring spun yarns, which represent several hundred meters of yarn length during production on a spinning frame. The same yarn specimens were tested using an offline laboratory scale yarn quality tester and the testing outcomes are provided within this data. The aim of publishing this dataset is to facilitate the development, validation and testing of online yarn quality control systems.