Gent. Measuring system and software reliability using an automated data collec- tion process. Quality and Reliability Engineering International, 11(5), 1995.B. Murphy and T. Gent. Measuring System and Software Reliability using an Automated Data Collection Process. Quality and Reliability Engineering ...
2.4. Discovery of data-aware declarative process models In [15], the authors propose a data-aware technique for the discovery of declarative models. The technique uses a data-aware extension of the Declare language defined in terms of LTL-FO (First Order Linear Temporal Logic). Given a contro...
In all three instances, the data collection process was automated with raw and/or filtered data, available as Excel spreadsheets, published in an online repository. For the purpose of this paper, the data was analysed and presented as graphs or in tables. The data will be of future use for...
Despite the steady advancement in high-level AVs in recent years, the complete deployment of AVs with full and/or high automation remains a gradual process. This transition entails a period of mixed traffic conditions, where AVs of varying automation levels coexist with human-driven vehicles (HD...
Each tag exchanges a series of messages with the target terminal to establish a communication link for the transfer of financial or other data. Concurrently, each tag and the target terminal process the messages to provide collision resolution, thereby ensuring that only one tag, at any instance,...
However, actual commercially-available environmental monitoring systems are not fully streamlined and involves substantial manual works and expertise to process and export the data into the data dissemination infrastructures. In other words, they are not designed to allow automatic data gathering by users...
ACE is meant to simplify the process of remotely collecting data across an environment by offering credential management, scheduling, centralized script management, and remote file downloading. ACE is designed to complement a SIEM by collecting data and enriching data; final analysis is best suited fo...
When the data asset is ready, Machine Learning studio returns to the Task type & data tab for the Submit an Automated ML job process. The new data asset is listed on the page. Follow these steps to complete the job configuration: Expand the Select task type dropdown menu, and choose the...
We use IoT and computer systems to collect data related to the daily works of employees. A semantic model is developed to guide the data collection process, facilitate data interpretation and interoperation, and enable big data analysis to make job performance appraisal decisions. We also propose ...
Growth data analysis A custom Python-based module was developed to process the acquired OD measurements. This module combines all the individual 96-well plate OD spectrometer readings taken over the course of the experiment into a single spreadsheet, corrects volume loss due to dissipation and back...