Forty Years of Research on System Response Times – What Did We Learn from It?

2009 ◽  
pp. 575-593 ◽  
Author(s):  
Wolfram Boucsein
Keyword(s):  
Response Times ◽  
System Response

scholarly journals Novel Instrumentation for Real-Time Monitoring Using Miniaturized Flow Systems with Integrated Biosensors

1997 ◽  
Vol 34 (3) ◽  
pp. 291-302 ◽  
Author(s):  
R Freaney ◽  
A McShane ◽  
T V Keaveny ◽  
M McKenna ◽  
K Rabenstein ◽  
...  
Keyword(s):  
Real Time ◽  
Response Times ◽  
Computer Software ◽  
Dead Volume ◽  
System Response ◽  
Small Scale ◽  
Biosensor Array ◽  
In Vivo Testing ◽  
On Line

A prototype miniaturized Total Chemical Analysis System (μTAS) has been developed and applied to on-line monitoring of glucose and lactate in the core blood of anaesthetized dogs. The system consists of a highly efficient microdialysis sampling interface sited in a small-scale extracorporeal shunt circuit (‘MiniShunt’), a silicon machined microflow manifold and integrated biosensor array for glucose and lactate detection with associated computer software for analytical process control. During in-vivo testing the device allowed real-time on-screen monitoring of glucose and lactate with system response times of less than 5 min, made possible by the small dead volume of the microflow system. On-line glucose and lactate measurements were made in the basal state as well as during intravenous infusion of glucose or lactate. The prototype μTAS is currently suitable for trend monitoring but refinements are necessary before application of the system for determination of individual lactate values.

Standardized task strain and system response times in human-computer interaction

Ergonomics ◽  
1995 ◽  
Vol 38 (7) ◽  
pp. 1342-1351 ◽  
Author(s):  
M. THUM ◽  
W. BOUCSEIN ◽  
W. KUHMANN ◽  
W. J. RAY
Keyword(s):  
Human Computer Interaction ◽  
Response Times ◽  
System Response ◽  
Computer Interaction

scholarly journals Predicting performance indicators with ANNs for AI-based online scheduling in dynamically interconnected assembly systems

2021 ◽  
Author(s):  
Amon Göppert ◽  
Leon Mohring ◽  
Robert H. Schmitt
Keyword(s):  
Real Time ◽  
Performance Indicators ◽  
Response Times ◽  
Computing Time ◽  
Discrete Event ◽  
Online Scheduling ◽  
System Response ◽  
Assembly Systems ◽  
Discrete Event Simulations ◽  
Predicting Performance

AbstractMass customization demands shorter manufacturing system response times due to frequent product changes. This increase in system dynamics imposes additional flexibility requirements especially on assembly processes, as complexity accumulates in this last step of value creation. Flexible and dynamically interconnected assembly systems can meet the increased requirements as opposed to traditional dedicated assembly line approaches. The high complexity and dynamical environment in these kinds of systems lead to the demand for real-time online control and scheduling solutions. Within the decision-making of online scheduling, the capability of predicting the consequences of available actions is crucial. In real-time environments, running extensive discrete-event simulations to evaluate how actions unfold requires too much computing time. Artificial neural networks (ANN) are a viable alternative to quickly evaluate the potential future performance value of a production state for online production planning and control. They can predict performance indicators such as the expected makespan given the current production status. Leveraging recent advances in artificial intelligence (AI) game algorithms, an assembly control system based on Google DeepMind’s AlphaZero was created. Specifically, an ANN is incorporated into the approach that suggests favorable job routing decisions and predicts the value of actions. The results show that the trained network can predict favorable actions with an accuracy of over 95% and estimate the makespan with an error smaller than 3%.

scholarly journals A portable sensor system for bacterial concentration monitoring in metalworking fluids

2018 ◽  
Vol 7 (1) ◽  
pp. 349-357 ◽  
Author(s):  
Marco Grossi ◽  
Carola Parolin ◽  
Beatrice Vitali ◽  
Bruno Riccò
Keyword(s):  
Product Life Cycle ◽  
Response Times ◽  
Sensor System ◽  
Metalworking Fluids ◽  
Plate Count ◽  
System Response ◽  
Bacterial Concentration ◽  
Microbial Monitoring ◽  
Portable Sensor ◽  
Cooling And Lubrication

Abstract. The detection of bacterial concentrations in metalworking fluids (MWFs), oil-in-water emulsions used in the cutting industries for cooling and lubrication, is important in order to extend the product life-cycle and plan its disposal according to regulations and legislations. The standard method of measuring culturable bacterial concentration is the plate count technique (PCT) that, however, has long response times and is not suitable for automatic implementation outside a laboratory. In this paper a portable sensor system that measures the bacterial concentration in liquid and semi-liquid media exploiting impedance microbiology is presented and tested for the application of MWF microbial monitoring. A set of MWF samples, taken from metalworking plants, have been tested and good agreement has been found between the system response and that of the PCT. The proposed system allows automated bacterial concentration measurements with shorter response times than the PCT (4 to 24 h vs. 24 to 72 h) and is suitable for in-the-field MWF monitoring.

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