Modeling of Software Sensors in Bioprocess

2015 ◽  
pp. 83-104
Keyword(s):  
Software Sensors

A Research Study on Event Prediction in IoT Based Upon WBAN

2018 ◽  
Vol 8 (5) ◽  
pp. 116
Author(s):  
Krittika Singh
Keyword(s):  
Research Study ◽  
Network Connectivity ◽  
Physical World ◽  
Flight Schedules ◽  
Event Prediction ◽  
Software Sensors ◽  
Medical Emergencies ◽  
Computer Based ◽  
The Internet Of Things ◽  
Exchange Data

The Internet of things is the internetworking of physical devices, vehicles, buildings, and other items—embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data. The IoT allows objects to be sensed and/or controlled remotely across existing network infrastructure, creating opportunities for more direct integration of the physical world into computer-based systems, and resulting in improved efficiency, accuracy and economic benefit in addition to reduced human intervention. In this research an expert system based upon the IOT is developed in which the next event in the flight schedules due to any kind of medical emergencies is to be predicted. For this the medical data of all the patients are to be collected through WBAN.

scholarly journals Accessible Routes Integrating Data from Multiple Sources

2020 ◽  
Vol 10 (1) ◽  
pp. 7
Author(s):  
Miguel R. Luaces ◽  
Jesús A. Fisteus ◽  
Luis Sánchez-Fernández ◽  
Mario Munoz-Organero ◽  
Jesús Balado ◽  
...  
Keyword(s):  
Information System ◽  
Data Model ◽  
Large Scale ◽  
Heterogeneous Data ◽  
Multiple Sources ◽  
Heterogeneous Data Sources ◽  
Different Types ◽  
Software Sensors ◽  
The City

Providing citizens with the ability to move around in an accessible way is a requirement for all cities today. However, modeling city infrastructures so that accessible routes can be computed is a challenge because it involves collecting information from multiple, large-scale and heterogeneous data sources. In this paper, we propose and validate the architecture of an information system that creates an accessibility data model for cities by ingesting data from different types of sources and provides an application that can be used by people with different abilities to compute accessible routes. The article describes the processes that allow building a network of pedestrian infrastructures from the OpenStreetMap information (i.e., sidewalks and pedestrian crossings), improving the network with information extracted obtained from mobile-sensed LiDAR data (i.e., ramps, steps, and pedestrian crossings), detecting obstacles using volunteered information collected from the hardware sensors of the mobile devices of the citizens (i.e., ramps and steps), and detecting accessibility problems with software sensors in social networks (i.e., Twitter). The information system is validated through its application in a case study in the city of Vigo (Spain).

scholarly journals User Activity Recognition through Software Sensors

2017 ◽  
pp. 243-265 ◽  
Author(s):  
Stephan Reiff-Marganiec ◽  
Kamran Taj Pathan ◽  
Yi Hong
Keyword(s):  
Activity Recognition ◽  
Software Sensors ◽  
User Activity

Application of Software Sensors in Animal-Cell Cultivation

1997 ◽  
pp. 47-53
Author(s):  
R. C. Dorresteijn ◽  
K. Harbrink Numan ◽  
C. D. Gooijer ◽  
J. Tramper ◽  
E. C. Beuvery
Keyword(s):  
Animal Cell ◽  
Cell Cultivation ◽  
Software Sensors

scholarly journals Software Sensors for Biomass Concentration Estimation in Filamentous Microorganism Cultivation Process

2019 ◽  
Vol 33 (1) ◽  
pp. 141-151 ◽  
Author(s):  
Pavel Hrnčiřík ◽  
Tomáš Moucha ◽  
Jan Mareš ◽  
Jan Náhlík ◽  
Dagmar Janáčová
Keyword(s):  
Linear Regression ◽  
Heat Production ◽  
Process Model ◽  
Biomass Concentration ◽  
Main Process ◽  
Software Sensor ◽  
Enthalpy Balance ◽  
Filamentous Microorganisms ◽  
Software Sensors ◽  
On Line

In this study, the potential of two software sensors for on-line estimation of biomass concentration during cultivation of filamentous microorganisms is examined. The first sensor is based on common bioreactor off-gas analyses, and uses the assumption of the biomass concentration linear dependence on the square root of cumulative O2 consumption. Parameters of the semi-empirical data-driven software sensor based on off-gas analysis were calculated from experimental cultivation data using linear regression. The second sensor is based on biocalorimetry, i.e., the on-line calculation of metabolic heat flux from general enthalpy balance of the bioreactor. The software sensor based on biocalorimetry thus essentially represents a model-driven approach, making use of a fundamental process model based on the enthalpy balance around the bioreactor. This approach has been combined with the experimental identification of the specific biomass heat production, which represents the main process-specific parameter of the software sensor based on biocalorimetry. For this sensor, the accuracy requirements on the process variable on-line measurements were also analysed. The experimental data from the pilot-scale antibiotics Nystatin production by a bacterium Streptomyces noursei were used to calculate the specific bioprocess heat production value using linear regression. The achieved results enabled us to propose a new on-line indicator calculated as the ratio of the outputs of both sensors, which can serve as a timely warning of the risk of undesired nutritional conditions of a culture characterized as underfeeding.

Software sensors design for the simultaneous saccharification and fermentation of starch to ethanol

Fuel ◽  
2013 ◽  
Vol 110 ◽  
pp. 219-226 ◽  
Author(s):  
Pablo A. López Pérez ◽  
Rafael Maya Yescas ◽  
Rigel V. Gomez Acata ◽  
Vicente Peña Caballero ◽  
Ricardo Aguilar López
Keyword(s):  
Simultaneous Saccharification And Fermentation ◽  
Software Sensors ◽  
Simultaneous Saccharification
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