The problem of optimal placement of sub-resolution assist features (SRAF)

2005 ◽  
Author(s):  
Maharaj Mukherjee ◽  
Scott Mansfield ◽  
Lars Liebmann ◽  
Alexey Lvov ◽  
Evanthia Papadapoulou ◽  
...  
Keyword(s):  
Optimal Placement

Optimisation of Cardiac Resynchronisation Therapy with MultiPoint™ Pacing

2015 ◽  
Vol 4 (3) ◽  
pp. 3
Author(s):  
Antonio Curnis ◽  
David O’Donnell ◽  
Axel Kloppe ◽  
Žarko Calovic ◽  
◽  
...  
Keyword(s):  
Systolic Function ◽  
Biventricular Pacing ◽  
Heart Rhythm ◽  
Cardiac Resynchronisation Therapy ◽  
Left Ventricular ◽  
Optimal Placement ◽  
Jude Medical ◽  
Number Of Patients ◽  
Cardiac Resynchronisation ◽  
Resynchronisation Therapy

Cardiac resynchronisation therapy (CRT) using biventricular pacing is an established therapy for impairment of left ventricular (LV) systolic function in patients with heart failure (HF). Although technological advances have improved outcomes in patients undergoing biventricular pacing, the optimal placement of pacing leads remains challenging, and approximately one third of patients have no response to CRT. This may be due to patient selection and lead placement. Electrical mapping can greatly improve outcomes in CRT and increase the number of patients who derive benefit from the procedure. MultiPoint™ pacing (St Jude Medical, St Paul, MN, US) using a quadripolar lead increases the possibility of finding the best pacing site. In clinical studies, use of MultiPoint pacing in HF patients undergoing CRT has been associated with haemodynamic and clinical benefits compared with conventional biventricular pacing, and these benefits have been sustained at 12 months. This article describes the proceedings of a satellite symposium held at the European Heart Rhythm Association (EHRA) Europace conference held in Milan, Italy, in June 2015.

HYGIENIC MODELING FOR THE EXAMINATION OF BUILDINGS AND EQUIPMENT OF EDUCATIONAL INSTITUTIONS DURING THE COMMISSION STAGE

2018 ◽  
pp. 27-30 ◽  
Author(s):  
V.R. Kuchma ◽  
M.I. Stеpanova ◽  
T.V. Shumkova ◽  
I.E. Aleksandrova
Keyword(s):  
Educational Institution ◽  
Well Being ◽  
Optimal Level ◽  
Optimal Placement ◽  
Educational Institutions ◽  
Viewing Angle ◽  
Optimal Conditions ◽  
Educational Facilities ◽  
Learning Conditions ◽  
Children Education

For the purpose of the development of novel approaches during the commission stage, the hygienic assessment of conditions of training in specially constructed innovative building of SKOLKOVO International Gymnasium was performed. Hygienic examination of innovative architectural and planning solutions, learning conditions and hygienic modeling of the optimal placement of furniture and equipment in multi-faceted educational facilities with panoramic glazing made it possible to predict the provision of the gymnasium with an optimal level of sanitary and epidemiological well-being of students. This is achieved by the innovative layout of the gymnasium building and its territory. Hygienic specification of zoning of both buildings and premises of the educational institution, include the requirements to satisfy the hygienic criteria on children education, motor activity, organization of proper nutrition, and using the building as a center for family leisure. Hygienic modeling of educational furniture and equipment provides optimal conditions (viewing angle) for visual work of students in all multifaceted classes. The obtained data are the basis for amendments to the state sanitary and epidemiological rules and regulations in the field of organization of education and upbringing of children.

Voltage Stability Enhancement with Optimal Placement of IPFC

2019 ◽  
Vol 8 (4) ◽  
pp. 9465-9471
Keyword(s):  
Transmission Line ◽  
Objective Function ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Test System ◽  
Optimal Location ◽  
Optimal Placement ◽  
Utilization Factor ◽  
Location Selection ◽  
Multi Objective

This paper presents a novel technique based on Cuckoo Search Algorithm (CSA) for enhancing the performance of multiline transmission network to reduce congestion in transmission line to huge level. Optimal location selection of IPFC is done using subtracting line utilization factor (SLUF) and CSA-based optimal tuning. The multi objective function consists of real power loss, security margin, bus voltage limit violation and capacity of installed IPFC. The multi objective function is tuned by CSA and the optimal location for minimizing transmission line congestion is obtained. The simulation is performed using MATLAB for IEEE 30-bus test system. The performance of CSA has been considered for various loading conditions. Results shows that the proposed CSA technique performs better by optimal location of IPFC while maintaining power system performance

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