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ARM model

The Agricultural Runoff Management (ARM) Model, developed by Hydrocomp Inc. for the U.S.EPA (2 ). It simulates the hydrology, sediment yield, and nutrient and pesticide behavior of the land phase of the hydrological cycle. The same organizations also developed the Non-Point Source (NPS) Model (3) which handles the washoff of miscellaneous pollutants from land surfaces. [Pg.126]

N.H. Crawford. Agricultural Runoff Management (ARM) Model Version II Refinement and Testing. Env. Res. Lab., Athens, Georgia. 1977. EPA600/3-77-098. 294 pages. [Pg.146]

Fig. 7. Two models also propose that R may use Gfly to catalyze GDP release. In the lever-arm model, the receptor uses the aN helix as a lever to pull G/ y away from Ga, thereby prying Switch II away from the nucleotide-binding pocket and causing GDP release. The alternative, gearshift model requires that the receptor pushes G/ y closer to Ga. This allows the N-terminus of Gy to engage the helical domain, thus forcing the binding pocket due to the reorientation of the two domains. FJ... Fig. 7. Two models also propose that R may use Gfly to catalyze GDP release. In the lever-arm model, the receptor uses the aN helix as a lever to pull G/ y away from Ga, thereby prying Switch II away from the nucleotide-binding pocket and causing GDP release. The alternative, gearshift model requires that the receptor pushes G/ y closer to Ga. This allows the N-terminus of Gy to engage the helical domain, thus forcing the binding pocket due to the reorientation of the two domains. FJ...
Figure 1 ARM model risk factors associated with society. Figure 1 ARM model risk factors associated with society.
Figure 5 ARM model an accident or incident can occur when the risk factors line up. ... Figure 5 ARM model an accident or incident can occur when the risk factors line up. ...
FuUy automated conveyor systems are available for turntable and overhead rotary arm models. Product loads can be fed into the infeed conveyor system by the automated palletizer system or manually by fork truck. The loads are staged... [Pg.2666]

Robotic arm modeled after cactus wood (courtesy of DLR Stuttgart, Germany). [Pg.293]

Knowledge of tolerable limits for human exposure to vibration, shock, and impact is essential for maintaining health and performance in the many environments in which man is subjected to dynamic forces and accelerations. As already noted, humans cannot be subjected to injurious stimuli for etbical reasons, and so little direct information is available fixim this source. In these circumstances, the simulation of human response to potentially life-threatening dynamic forces and accelerations is desirable, and is commonly undertaken using biodynamic models, and anthropometric or anthropomorphic manikins. They are also used in the development of vehicle seats and, in the case of hand-arm models, of powered hand-held tools. [Pg.242]

Impedance Model of the Hand-Arm System. A 4-degree-of-freedom model consisting of four of the models sketched in Fig. 10.6, arranged in series (i.e., on top of each other), has been used to predict idealized values for the input impedance to the hand (ISO 10068, 1998). As is the case for the lumped whole-body models, Ae parameters of the hand-arm model do not possess direct anatomical correlates. [Pg.245]

Articulated arm model for implementing forward-kinematics equations. [Pg.531]

Fig. 3. New pulsatile arm model with more than eight possibilities to create VA. a The whole model, b Detailed view of how an anastomosis is created. [Pg.104]

As shown by Senden et al. [121], conventional material models that incorporate entropic strain hardening give a qualitatively incorrect prediction of the Bauschinger effect. This can be illustrated by investigating the effects of cyclic loading. For a two-arm model such as that of Haward and Thackray, when loaded in tension and then unloaded, during unloading the... [Pg.370]

The modelling of this work is based on an approach [2], in which suspension geometry effects are incorporated in a way which does not involve a detailed representation of the suspension system. The basis of the approach is an empirical black-box representation of the suspension kinematics derived from readily available experimental data describing the suspension trajectory at each wheel hub and wheel orientation. From this data, an equivalent swing axle or trailing arm model is derived using techniques from differential geometry. [Pg.198]

Bernabucci, I., Conforto, S., Schmid, M., D Alessio, T. A bio-inspired controller of an upper arm model in a perturbed environment. In proceedings The 2007 International Conference on Intelligent Sensors, Sensor Networks and Information Processing Pages 549-553 ISBN 978-1-4244-1501-4... [Pg.323]


See other pages where ARM model is mentioned: [Pg.134]    [Pg.1111]    [Pg.84]    [Pg.332]    [Pg.242]    [Pg.243]    [Pg.198]    [Pg.177]    [Pg.806]    [Pg.165]    [Pg.306]    [Pg.104]    [Pg.104]   
See also in sourсe #XX -- [ Pg.242 ]




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ARM model risk factors

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