BSIM4 to PSP Model Conversion for Passive Mixer IM3 Simulation

2015 ◽  
Author(s):  
Dusan N. Grujic ◽  
Mihajlo Bozovic ◽  
Milan Savic
Keyword(s):  
Passive Mixer ◽  
Model Conversion

Ray-casting and block model conversion using a spatial index

1984 ◽  
Vol 16 (4) ◽  
pp. 203-208 ◽  
Author(s):  
Markku Tamminen ◽  
Olli Karonen ◽  
Martti Mäntylä
Keyword(s):  
Spatial Index ◽  
Ray Casting ◽  
Block Model ◽  
Model Conversion

An approach to incremental feature model conversion

2006 ◽  
Vol 32 (1-2) ◽  
pp. 99-108 ◽  
Author(s):  
Z. M. Chen ◽  
S. M. Gao ◽  
W. D. Li
Keyword(s):  
Feature Model ◽  
Model Conversion

scholarly journals The Conservation of Renewable Resources

Conservation ◽  
2021 ◽  
pp. 72-104
Author(s):  
Charles Perrings
Keyword(s):  
Natural Resource Management ◽  
Fire Regime ◽  
Ecosystem Processes ◽  
Aquatic Systems ◽  
Control Methods ◽  
State Variables ◽  
System P ◽  
Model Conversion ◽  
Optimal Control Methods ◽  
Conservation Decisions

Chapter 4 further develops the theory of the conservation of living systems. Natural resource management problems are analyzed using optimal control methods. Natural resources are the state variables of the problem and management instruments are control variables. Management might include harvest, culling, restocking, reseeding, and replanting, or interventions affecting, for example, the fire regime, hydrological flows, the structure of habitats, the functioning of the system, and the ecosystem processes involved. The chapter considers three types of systems: aquatic systems, forest systems, and rangelands. It shows how the methods developed to model conversion/conservation decisions in all cases embed the Hotelling arbitrage condition. It shows how the level of conservation in each type of system is impacted by access rules, and the array of benefits obtained from the system.

TECHNIQUES TO ENHANCE FLUID MICRO-MIXING AND CHAOTIC MICROMIXERS

2005 ◽  
Vol 19 (28n29) ◽  
pp. 1567-1570 ◽  
Author(s):  
Y. T. CHEW ◽  
H. M. XIA ◽  
C. SHU ◽  
S. Y. M. WAN
Keyword(s):  
Chaotic Advection ◽  
Chaotic Mixing ◽  
Inertial Effects ◽  
Passive Mixer ◽  
Poincaré Plot ◽  
Mixer Design ◽  
Recent Developments ◽  
Fast Development ◽  
Active Mixing ◽  
Working Mechanisms

With fast development of microfluidic systems, fluid micro-mixing becomes a very important issue. In this paper, recent developments on various micromixers and their working mechanisms are reviewed, including the external agitation methods applied in active mixing and the channel geometries adopted in passive mixer design. The chaotic mixing and the influences of Re would be mainly discussed. At moderate and high Re , the fluid inertial effects usually facilitate the chaotic mixing. At low Re , generation of chaotic advection becomes more difficult but can still be achieved through fluid manipulations such as stretching and folding. Chaotic mixers can be characterized using dynamical system techniques, such as Poincaré plot, and Lyapunov exponent.

A 22-39 GHz passive mixer in SiGe:C bipolar technology

2010 ◽  
Author(s):  
V. Issakov ◽  
H. Knapp ◽  
M. Wojnowski ◽  
A. Thiede ◽  
W. Simbuerger
Keyword(s):  
Passive Mixer ◽  
Bipolar Technology

Design of a Q-Band Single-Balanced Passive Mixer in 0.15µm GaN Technology

2021 ◽  
Author(s):  
Nethini Weerathunge ◽  
Sudipta Chakraborty ◽  
Simon J. Mahon ◽  
Gerry McCulloch ◽  
Andrew Jones ◽  
...  
Keyword(s):  
Passive Mixer

FIBER-OPTIC FORCE SENSOR: MATHEMATICAL MODEL, CONVERSION FUNCTION, PROTOTYPE DESIGN

2020 ◽  
Vol 6 (99) ◽  
pp. 45-58
Author(s):  
KONSTANTIN A. KHARAKHNIN ◽  
DENIS A. TERESHIN ◽  
DMITRY V. VAKHRAMEEV ◽  
PAVEL S. VAKHRAMEEV
Keyword(s):  
Power Loss ◽  
Fiber Optic ◽  
Force Sensor ◽  
Optical Signal ◽  
Conversion Function ◽  
Design Parameters ◽  
Bending Radius ◽  
Applied Forces ◽  
Model Conversion ◽  
Prototype Design

The article considers the problem of the lack of methods for calculating and selecting design parameters when developing and implementing a fiber-optic force sensor (FOFS) as a separate element or component of the system. To solve this problem, we propose to develop a transform function of the power loss of the optical signal from the bending radius of the fiber under the action of applied forces, linking the features of the optical fiberand physico-mechanical parameters of the base on which the fiber is located. Based on the calculations performed, a variant of the FOFS prototype design is proposed.

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