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NASA Scientific and Technical Aerospace Reports

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defines the directions of maximum <strong>and</strong> minimum cost change. A simplified approximation of the PRICE H(TM)<br />

production-production cost is used to generate this set of differential equations over [mass, complexity] space. The equations<br />

are solved in closed form to obtain the one dimensional design-to-cost trade <strong>and</strong> design-for-cost spaces. Preliminary results<br />

indicate that cost is relatively insensitive to changes in mass <strong>and</strong> that the reduction of complexity, both in the manufacturing<br />

process <strong>and</strong> of the spacecraft, is dominant in reducing cost.<br />

Author<br />

Cost Analysis; Cost Effectiveness; Cost Estimates; Cost Reduction; Manifolds (Mathematics); Satellite Design<br />

20040121075 <strong>NASA</strong> Langley Research Center, Hampton, VA, USA<br />

Using Dynamic Sensitivity Analysis to Assess Testability<br />

Voas, Jeffrey; Morell, Larry; Miller, Keith; [1990]; 25 pp.; In English; Original contains black <strong>and</strong> white illustrations<br />

Contract(s)/Grant(s): NAG1-824; NAG1-884; No Copyright; Avail: CASI; A03, Hardcopy<br />

This paper discusses sensitivity analysis <strong>and</strong> its relationship to r<strong>and</strong>om black box testing. Sensitivity analysis estimates<br />

the impact that a programming fault at a particular location would have on the program’s input/output behavior. Locations that<br />

are relatively \&quot;insensitive’ to faults can render r<strong>and</strong>om black box testing unlikely to uncover programming faults.<br />

Therefore, sensitivity analysis gives new insight when interpreting r<strong>and</strong>om black box testing results. Although sensitivity<br />

analysis is computationally intensive, it requires no oracle <strong>and</strong> no human intervention.<br />

Author<br />

Electronic Equipment; Sensitivity Analysis; Failure<br />

20040121109 North Carolina Agricultural <strong>and</strong> <strong>Technical</strong> State Univ., Greensboro, NC, USA<br />

Integrated Human Factors Toolkit<br />

Ntuen, Celestine A.; 2003 Research <strong>Reports</strong>: <strong>NASA</strong>/ASEE Fellowship Program; December 15, 2003, pp. P-1 - P-9; In<br />

English; See also 20040121096; No Copyright; Avail: CASI; A02, Hardcopy<br />

This study is focused on developing an assessment methodology for use in selecting appropriate human factors tools to<br />

support task processing at Kennedy Space Center. Processes at ELV, Shuttle, <strong>and</strong> Station are used to validate the need for<br />

human factors tool integration. The problem is analyzed fiom three complementary theoretical backgrounds: process<br />

abstraction, workflow analysis, <strong>and</strong> requirement analysis. The approach presented departs fiom the traditional workflow<br />

analysis in the sense that process absbaction inquiry <strong>and</strong> ontology are used to incrementally compile process information along<br />

the continua of abstraction hierarchy. Also, unlike the classical task analysis that is often advocated for process modeling, we<br />

use work domain analysis because it is robust to capture unanticipated events in time <strong>and</strong> space, typically, along the boundaries<br />

of task processing. It is argued that by combining process abstradion inquiry <strong>and</strong> ontology, the building blocks for task<br />

processes can be developed to cuntain dense information required to mimics the realism of task behaviors, including, for<br />

example, actor-activity interactions, task state predictions, <strong>and</strong> the tools required to perform the tasks.<br />

Author<br />

Decision Making; Mathematical Models<br />

20040121113<br />

Development of Algorithms for Control of Humidity in Plant Growth Chambers<br />

Costello, Thomas A.; 2003 Research <strong>Reports</strong>: <strong>NASA</strong>/ASEE Fellowship Program; December 15, 2003, pp. D-1 - D-13; In<br />

English; See also 20040121096; No Copyright; Avail: CASI; A03, Hardcopy<br />

Algorithms were developed to control humidity in plant growth chambers used for research on bioregenerative life<br />

support at Kennedy Space Center. The algorithms used the computed water vapor pressure (based on measured air temperature<br />

<strong>and</strong> relative humidity) as the process variable, with time-proportioned outputs to operate the humidifier <strong>and</strong> de-humidifier.<br />

Algorithms were based upon proportional-integral-differential (PID) <strong>and</strong> Fuzzy Logic schemes <strong>and</strong> were implemented using<br />

I/O Control software (OPTO-22) to define <strong>and</strong> download the control logic to an autonomous programmable logic controller<br />

(PLC, ultimate ethernet brain <strong>and</strong> assorted input-output modules, OPTO-22), which performed the monitoring <strong>and</strong> control<br />

logic processing, as well the physical control of the devices that effected the targeted environment in the chamber. During<br />

limited testing, the PLC’s successfully implemented the intended control schemes <strong>and</strong> attained a control resolution for<br />

humidity of less than 1%. The algorithms have potential to be used not only with autonomous PLC’s but could also be<br />

implemented within network-based supervisory control programs. This report documents unique control features that were<br />

266

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