Online Forecasting and Anomaly Detection Based on the ARIMA Model
Real-time diagnostics of complex technical systems such as power plants are critical to keep the system in its working state. An ideal diagnostic system must detect any fault in advance and predict the future state of the technical system, so predictive ...
Viacheslav Kozitsin +2 more
doaj +1 more source
This paper proposes a new communication primitive for distributed embedded control systems: the pulsed data stream. A pulsed data stream is a time- triggered cyclic unidirectional data stream that is transmitted for a short duration at a defined phase of every cycle of a periodic control system.
openaire +1 more source
Safety and Efficacy of GLP‐1 Receptor Agonists in Adults With Epilepsy, Obesity, and Type 2 Diabetes
ABSTRACT Objective Managing obesity in patients with epilepsy is complicated by the weight‐gaining properties of essential antiseizure medications (ASMs) such as valproate and pregabalin. We evaluated the safety and efficacy of initiating glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) in this population.
Hyoshin Son +3 more
wiley +1 more source
Research and Application of an Online Train ConditionMonitoring Method Based on Streaming Data
In order to detect the online status of trains in real time, traditional threshold detection methods can only make judgments on the status of equipment or systems based on numerical performance, while ignoring the train health status changes reflected in
FENG Furen
doaj
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
A mediation system for continuous spatial queries on a unified schema using Apache Spark
Recent advances in big and streaming data systems have enabled real-time analysis of data generated by Internet of Things (IoT) systems and sensors in various domains. In this context, many applications require integrating data from several heterogeneous
Thi Thu Trang Ngo +3 more
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Construction and Application of Dynamic Monitoring System for Wheelsets of High Speed EMUs
Wheelset is one of the most important components of high speed EMU bogie system, and its health determines the safety of EMUs. At present, wheelset management information systems for EMU repair, dynamic detection, train information and operating mileage ...
LI Shuzhi, SONG Peiyuan, LU Kai
doaj
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
Fairness and Explanations in Entity Resolution: An Overview
Entity Resolution (ER) is a fundamental task in data integration, enabling the identification of records that refer to the same real-world entity across diverse and often heterogeneous data sources.
Tiago Brasileiro Araujo +2 more
doaj +1 more source
A Differentially Private Unscented Kalman Filter for Streaming Data in IoT
With the evolution and development of the 5th generation (5G) technology, Internet of Things (IoT) within 5G provides a foundation and opportunity for smart home and smart healthcare.
Jun Wang, Rongbo Zhu, Shubo Liu
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