Atmospheric trace constituent detection by CW-FM-LD-ladar: a concept development

2004 ◽  
Author(s):  
Ravil R. Agishev ◽  
Rafael K. Sagdiev ◽  
Barry M. Gross ◽  
Fred Moshary ◽  
Alexander Gilerson ◽  
...  
Keyword(s):  
Concept Development ◽  
Trace Constituent

Atmospheric CW-FM-LD-RR ladar for trace-constituent detection: a concept development

2005 ◽  
Vol 81 (5) ◽  
pp. 695-703 ◽  
Author(s):  
R. Agishev ◽  
B. Gross ◽  
F. Moshary ◽  
A. Gilerson ◽  
S. Ahmed
Keyword(s):  
Concept Development ◽  
Trace Constituent

Concept Development of Military Nursing Leadership

2015 ◽  
Vol 33 (2) ◽  
pp. 15-31 ◽  
Author(s):  
Eun Kyong Kim ◽  
Myoung Ran Yoo ◽  
Kye Hwa Park ◽  
Kyeong Lim Keum ◽  
Eun Young Jung
Keyword(s):  
Nursing Leadership ◽  
Concept Development ◽  
Military Nursing

Concept development for the optimisation of the Hamburg Wastewater Treatment Plants

2000 ◽  
Vol 41 (9) ◽  
pp. 89-95 ◽  
Author(s):  
G. Ladiges ◽  
N-P. Bertram ◽  
R. Otterpohl
Keyword(s):  
Computer Simulation ◽  
Wastewater Treatment ◽  
Simulation Study ◽  
Storage Capacity ◽  
Wastewater Treatment Plants ◽  
Concept Development ◽  
Final Solution ◽  
Effluent Standards ◽  
Dynamic Computer Simulation ◽  
Traditional Manner

The Hamburger Stadtentwässerung (HSE) is planning to take on a further approximately 250,000 PE in addition to the 1.85 m PE already served by its combined wastewater treatment plants at Köhlbrandhöft/Dradenau. To cope with the increased load, a concept for the extension of the plants had to be developed. Various concepts were compared and evaluated using a dynamic computer simulation. The very wide-ranging simulation study showed that the required effluent standards can still be achieved after the volume of the sludge liquor storage capacity has been increased. As many concepts had been assessed in detail, the final solution chosen was considerably less expensive than if the wastewater treatment plants had been extended in a traditional manner.

Paper2Wire – A Case Study of User-Centred Development of Machine Learning Tools for UX Designers

i-com ◽  
2021 ◽  
Vol 20 (1) ◽  
pp. 19-32
Author(s):  
Daniel Buschek ◽  
Charlotte Anlauff ◽  
Florian Lachner
Keyword(s):  
Machine Learning ◽  
Development Process ◽  
User Study ◽  
Concept Development ◽  
Lessons Learned ◽  
Design Tool ◽  
Learning Tools ◽  
Interface Elements ◽  
Industry Partner

Abstract This paper reflects on a case study of a user-centred concept development process for a Machine Learning (ML) based design tool, conducted at an industry partner. The resulting concept uses ML to match graphical user interface elements in sketches on paper to their digital counterparts to create consistent wireframes. A user study (N=20) with a working prototype shows that this concept is preferred by designers, compared to the previous manual procedure. Reflecting on our process and findings we discuss lessons learned for developing ML tools that respect practitioners’ needs and practices.

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