"Scale modeling can allow fire investigators to replicate specific fire dynamics at a dramatically reduced cost. A gas burner, liquid pool, wood crib, and polyurethane foam block are used to represent the wide range of fuels that investigators encounter. These fuels are classified into two groups: the burner and liquid pool that reach a semi-immediate steady state (static fires) and the crib and foam that have a fire spread and growth period (dynamic fires). This research examines the proposed scaling method for the static fires. The enclosure consists of a large corridor that provides an interesting challenge due to the presence of partitions at the ceiling. The design fires and the model enclosure are designed based on Froude scaling derived from conservation equations. The eight various sized fires demonstrate acceptable scaling results in the prediction of flame height and temperature at various elevations in the enclosure."--PDF table of contents page.
The purpose of this basic-science research project was to expand on successfully completed proof-of-concept experiments by, first, determining the scientific basis of and the application of columnar thin films (CTFs) to capture friction ridge, detail found in latent fingerprints on nonporous forensically relevant textured substrates and then to compare CTF development of fingerprints with commonly employed fingerprint development techniques used for that purpose.
Stanford, Calif. : Stanford University, Dept. of Computer Science, 
Book — 33 pages : illustrations ; 28 cm.
Abstract: "New ideas are presented for computing and organizing actions for autonomous agents in dynamic environments -- environments in which the agent's current situation cannot always be accurately discerned and in which the effects of actions cannot always be reliably predicted. The notion of 'circuit semantics' for programs based on 'teleo-reactive trees' is introduced. Program execution builds a combinational circuit which receives sensory inputs and controls actions. These formalisms embody a high degree of inherent conditionality and thus yield programs that are suitably reactive to their environments. At the same time, the actions computed by the programs are guided by the overall goals of the agent.
The paper also speculates about how programs using these ideas could be automatically generated by artificial intelligence planning systems and adapted by learning methods."
Washington, DC : Program Management, Policy Development, and Analysis Staff, Office of Nuclear Reactor Regulation, U.S. Nuclear Regulatory Commission : SuperIntendent of Documents. U.S. Govemment Prtnllng OffIce, 1991.
Book — 1 online resource (various pagings). Digital: text file.
"The Nuclear Regulatory Commission (NRC) monitors incentive programs established by state regulators in order to obtain current information and to consider the potential safety effects of the incentive programs as applied to nuclear units. The current report is an update of NUREG/CR-5509, Incentive Regulation of Nuclear Power Plants by State Public Utility Commissions, published in December 1989. The information in this report was obtained from interviews conducted with each state regulator and each utility with a minimum entitlement of 10%. The agreements, orders, and settlements from which each incentive program was implemented were reviewed as required. The interviews and supporting documentation form the basis for the individual state reports describing the structure and financial impact of each incentive program. The programs currently in effect represent the adoption of an existing nuclear performance incentive program proposal and one new program. In addition, since 1989 a number of nuclear units have been included in one existing program; while one program was discontinued and another one concluded."--U.S. Department of Energy, Office of Scientific and Technical Information website.