How to protect plants. A guide to the control of pests and diseases of plants in Hawaii.

Mode of access: Internet.

Sanitation in the control of insects and rodents of public health importance,

"CDC Training Program"--Cover.

The giant hand; our mobilization and control of industry and natural resources, 1917-1918,

Mode of access: Internet.

Biological control of spotted and diffuse knapweeds.

"Issued December 1994"--P. [2].

Pyramiding of profits and costs in the missile procurement program. Hearings before the Permanent Subcommittee on Investigations of the Committee on Government Operations, United States Senate, Eighty-seventh Congress, second session, pursuant to Senate resolution 250, 87th Congress ...

Hearings held Apr. 3- 1962-

Railroad claims (Statute of limitations) Hearing before a subcommittee of the Committee on Interstate and Foreign Commerce, House of Representatives, Seventy-first Congress, third session, on S. 571 and H.R. 3500, to amend section 204 of the act entitled "An act to provide for the termination of federal control of railroads and systems of transportation; to provide for the settlement of disputes between carriers and their employees; to further amend an act entitled 'An act to regulate commerce,' approved February 4, 1887, as amended, and for other purposes," approved February 28, 1920. February 23, 1931 ...

Carl E. Mapess, chairman of subcommittee.

Control of aircraft and missile powerplants; an introduction to the analysis and design of engine control systems

Mode of access: Internet.

Adherence to a Bronchiolitis Clinical Pathway is Associated with Decreased Length of Stay and Costs

Thesis (Master's)--University of Washington, 2016-06

Control of soundness and mechanical properties in aluminium-silicon-magnesium alloys

Previously, specifications for mechanical properties of casting alloys were based on separately cast test bars. This practice provided consistently reproducible results; thus, any change in conditions was reflected in changes in the mechanical properties of the test coupons. These test specimens, however, did not necessarily reflect the actual mechanical properties of the castings they were supposed to represent'. Factors such as section thickness and casting configuration affect the solidification rate and soundness of the casting thereby raising or lowering its mechanical properties in comparison with separately cast test specimens. In the work now reported, casting shapes were developed to investigate the variations of section thickness, chemical analysis and heat treatment on the mechanical properties of a high strength Aluminium alloy under varying chilling conditions. In addition, an insight was sought into the behaviour of chills under more practical conditions. Finally, it was demonstrated that additional information could be derived from the radiographs which form an essential part of the quality control of premium quality castings. As a result of the work, it is now possible to select analysis and chilling conditions to optimize the as cast and the heat treated mechanical properties of Aluminum 7% Silicon 0.3% Magnesium alloy.

Neural Control of Chaos and Aplications

Signal processing is an important topic in technological research today. In the areas of nonlinear dynamics search, the endeavor to control or order chaos is an issue that has received increasing attention over the last few years. Increasing interest in neural networks composed of simple processing elements (neurons) has led to widespread use of such networks to control dynamic systems learning. This paper presents backpropagation-based neural network architecture that can be used as a controller to stabilize unsteady periodic orbits. It also presents a neural network-based method for transferring the dynamics among attractors, leading to more efficient system control. The procedure can be applied to every point of the basin, no matter how far away from the attractor they are. Finally, this paper shows how two mixed chaotic signals can be controlled using a backpropagation neural network as a filter to separate and control both signals at the same time. The neural network provides more effective control, overcoming the problems that arise with control feedback methods. Control is more effective because it can be applied to the system at any point, even if it is moving away from the target state, which prevents waiting times. Also control can be applied even if there is little information about the system and remains stable longer even in the presence of random dynamic noise.

Control of posture and stability of the double-joint (Shoulder/Elbow) arm

Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.