Modelling simulation and optimization of innovative hybrid separation processes for energy savings

2010 ◽  
Author(s):  
Dragan Nikolic
Keyword(s):  
Energy Savings ◽  
Separation Processes ◽  
Simulation And Optimization ◽  
Hybrid Separation Processes ◽  
Modelling Simulation

Neurosurgery planning based on automated image recognition and optimal path design

2021 ◽  
Vol 69 (8) ◽  
pp. 708-721
Author(s):  
Annika Hackenberg ◽  
Karl Worthmann ◽  
Torben Pätz ◽  
Dörthe Keiner ◽  
Joachim Oertel ◽  
...  
Keyword(s):  
Optimal Path ◽  
Planning Problem ◽  
Simulation And Optimization ◽  
Ellipsoidal Approximations ◽  
Set Up ◽  
The Brain ◽  
Path Planning Problem ◽  
Automated Image Recognition ◽  
Modelling Simulation

Abstract Stereotactic neurosurgery requires a careful planning of cannulae paths to spare eloquent areas of the brain that, if damaged, will result in loss of essential neurological function such as sensory processing, linguistic ability, vision, or motor function. We present an approach based on modelling, simulation, and optimization to set up a computational assistant tool. Thereby, we focus on the modeling of the brain topology, where we construct ellipsoidal approximations of voxel clouds based on processed MRI data. The outcome is integrated in a path-planning problem either via constraints or by penalization terms in the objective function. The surgical planning problem with obstacle avoidance is solved for different types of stereotactic cannulae using numerical simulations. We illustrate our method with a case study using real MRI data.

scholarly journals Integrated Process for Bioenergy Production and Water Recycling in the Dairy Industry: Selection of Kluyveromyces Strains for Direct Conversion of Concentrated Lactose-Rich Streams into Bioethanol

2019 ◽  
Vol 7 (11) ◽  
pp. 545 ◽  
Author(s):  
Maria José Leandro ◽  
Susana Marques ◽  
Belina Ribeiro ◽  
Helena Santos ◽  
César Fonseca
Keyword(s):  
Energy Savings ◽  
Membrane Separation ◽  
Dairy Industry ◽  
Direct Conversion ◽  
High Energy ◽  
Dairy Wastewater ◽  
Water Recycling ◽  
Integrated Process ◽  
Separation Processes ◽  
Bioenergy Production

Dairy industries have a high environmental impact, with very high energy and water consumption and polluting effluents. To increase the sustainability of these industries it is urgent to implement technologies for wastewater treatment allowing water recycling and energy savings. In this study, dairy wastewater was processed by ultrafiltration and nanofiltration or ultrafiltration and reverse osmosis (UF/RO) and retentates from the second membrane separation processes were assessed for bioenergy production. Lactose-fermenting yeasts were tested in direct conversion of the retentates (lactose-rich streams) into bioethanol. Two Kluyveromyces strains efficiently fermented all the lactose, with ethanol yields higher than 90% (>0.47 g/g yield). Under severe oxygen-limiting conditions, the K. marxianus PYCC 3286 strain reached 70 g/L of ethanol, which is compatible with energy-efficient distillation processes. In turn, the RO permeate is suitable for recycling into the cleaning process. The proposed integrated process, using UF/RO membrane technology, could allow water recycling (RO permeate) and bioenergy production (from RO retentate) for a more sustainable dairy industry.

Modelling, simulation, and optimization of diabetes type II prediction using deep extreme learning machine

2020 ◽  
Vol 12 (2) ◽  
pp. 125-138
Author(s):  
Abdur Rehman ◽  
Atifa Athar ◽  
Muhammad Adnan Khan ◽  
Sagheer Abbas ◽  
Areej Fatima ◽  
...  
Keyword(s):  
Extreme Learning Machine ◽  
Diabetes Type ◽  
Type Ii ◽  
Simulation And Optimization ◽  
Diabetes Type Ii ◽  
Learning Machine ◽  
Modelling Simulation
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