1.1 This standard practice intends to ensure the dependability of UAS software. Dependability includes both the safety and security aspects of the software.1.2 This practice will focus on the following areas: (a) Organizational controls (for example, management, training) in place during software development. (b) Use of the software in the system, including its architecture and contribution to overall system safety and security. (c) Metrics and design analysis related to assessing the code. (d) Techniques and tools related to code review. (e) Quality assurance. (f) Testing of the software.1.3 There is interest from industry and some parts of the CAAs to pursue an alternate means of compliance for software assurance for small UAS (sUAS).1.4 This practice is intended to support sUAS operations. It is assumed that the risk of sUAS will vary based on concept of operations, environment, and other variables. The fact that there are no souls onboard the UAS may reduce or eliminate some hazards and risks. However, at the discretion of the CAA, this practice may be applied to other UAS operations.1.5 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety and health practices and determine the applicability of regulatory limitations prior to use.

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1.1 This practice describes a procedure for developing a graphical model of relative standard deviation versus concentration for analytical methods used in the analysis of water (methods that are subject to non-additive random errors) for the purpose of assigning a statement of noise or randomness to analytical results (commonly referred to as a precision statement), in either a manual or an automated fashion.1.2 Data analysis and modeling is done with Committee D19 Adjunct DQCALC2 (a Microsoft Excel3-based tool).1.3 The values stated in SI units are to be regarded as standard. No other units of measurement are included in this standard.1.4 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety, health, and environmental practices and determine the applicability of regulatory limitations prior to use.1.5 This international standard was developed in accordance with internationally recognized principles on standardization established in the Decision on Principles for the Development of International Standards, Guides and Recommendations issued by the World Trade Organization Technical Barriers to Trade (TBT) Committee.

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4.1 This guide sets forth the minimum requirements for instrumentation and software when conducting PDD examinations. For additional information see Practice E1954 and Guide E2000.1.1 This guide covers the minimum requirements for instrumentation (both analog and computerized systems), sensors and operating software used in the forensic psychophysiological detection of deception (PDD). As a minimum, such instrumentation shall simultaneously record an individual’s respiratory, electrodermal, and cardiovascular activity.1.2 This guide does not prohibit additional components, which may be offered as supplemental measurements of physiological change. Additional recording components may be used in addition to but not to replace the required minimum components.

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1.1 This software was developed to automate calculations within three ASTM standards: Practices D2777 (outlier removal section), D6091, and D6512.1.2 The program calculates detection estimates (DE) and quantitation estimates (QE) for the constant, straight-line, exponential, and hybrid (Rocke-Lorenzato) models of the variation of [inter or intra] laboratory standard deviation (ILSD) with concentration. Calculations are shown in the DE_QE worksheet and results are shown in the DLs & QLs worksheet. Several plots are generated showing how well each model fits the data. The least complex model to fit the data with adequate confidence must be used by the ASTM standards.NOTE 1: Modeling techniques automated in this practice and with this software have been shown to work well with most data sets. Users of this software are cautioned that with some, rare data sets, anomalous results may be obtained, and manual forcing of a different model may be required. It has been noted that for some data sets when an exponential model is selected, there may be a lack of convergence on a result or there may be a convergence on two separate results.1.3 Users of DQCALC should refer to Practices D2777, D6091, and D6512 for the specifics of the scope and application of the Practices.1.4 The IDE Practice (D6091) and the IQE Practice (D6512) are concerned with estimates of limits of detection and limits of quantitation based on inter-laboratory data. DQCALC may also be employed to calculate detection and quantitation estimates based on single laboratory data.1.5 The DQCALC Software consists of a Microsoft Excel3 workbook spreadsheet and associated macros and a user manual in Microsoft Word.3

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Information technology - Coding of audio-visual objects - Part 5: Reference software AMENDMENT 3: Visual new level and tools

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Information technology - Coding of audio-visual objects - Part 5: Reference software AMENDMENT 4: IPMPX reference software extensions

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