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The instrument module includes a differ- ential pressure probe which allows for determination of flow rate of the exhaust as and a as sam lin tube for continu- ously feeding a sarfple of thegexhausijgasgto a gas analyzer.

Examples of sensed parameters typically moni- tored include engine speed (RPM), manifold air pressure (MAP), throttle position (TPS), oxygen sensor voltage, etc.

The preferred flow sensing element 13 is manufactured by Dieterich Standard of Boulder, Colorado, a subsidiary of Dover Industries, marketed under the tradename ANNUBAR DIAMOND II and is of the differential pressure type.

Optionally, a second gas analyzer 32, identical to 30, may be utilized with its sampling probe located upstream of the catalytic converter for the purpose of providing catalyst efficiency checks.

The elastomeric boot may be a high-temperature resistant silicone rubber tube of the type used to connect a vehicle exhaust pipe to a conventional (stationary) test stand used in emissions test- ing.

Intuitively, the more certain we want to be, that is, the lower we set the alpha and beta error probabilities, the larger the sample will have to be; in fact, in order to be 100% certain, we would have to measure every single piston ring delivered to our company.

expect to observe -a slowly increasing or decreasing cumulative sum of deviations, depending on whether the average diameter in the batch is larger or smaller than the specification, respectively.

You can compute the standard indices of repeatability, reproducibility, and part-to-part variation, based either on ranges (as is stiIl common in these types of experiments) or from the analysis of variance (AN OVA) table (as, for example, recommended in ASQCIAIAG, 1990, page 65).

mean is equal to the design center), this index can be interpreted as the proportion of the range of the standard normal curve (the process width) that falls within the engineering specification limits.

Interpreting Results Once a satisfactory fit of the Weibull distribution to the observed failure time data has been obtained, there are a number of different plots and tables that are of interest to understand the reliability of the item under investigation.

Inventor: Shakeb Afsah, Bethesda, MD (US) (73) Assignee: International Resources Group Ltd., Washington, DC (US) ( *) Notice: Subject to any disclaimer, the term of this patent is extended or adjusted under 35 U.S.C. 154(b) by 5 days.

Referring to the drawings which form a part of this disclosure: FIG. 1 is a flow chart illustrating exemplary steps for 65 evaluating and comparing the environmental performance of two facilities in accordance with an embodiment of the present invention;

In this situation the cluster of data removed from the first date group contains the benchmark value for the particular indicator in step 380.

In particular, the graph in FIG. 4 shows an example report of the performance of a 25 single facility based on indicators one through nine mea sured in accordance with the present invention by the distance D;, as described above.

Other ben efits are achieved by superior environmental performance including for example a reduction in business risk, a mea-

Importantly, linkages provide the contractual framework in which the usage ofthe awards can be controlled to maintain their effectiveness in influ— encing consumer preferences to purchase envirotnnentally sensitive products.

AMES as implementor of the conimtmication system selects and processes data and information from various sources including the industry members and governmental agencies in regard to environment performance matters.

Bodily Incorporated Appendix A General Note: These criterion are based on a life-cycle- analysis methodology that sales weights vehicle configura- tion or model lype emission certification levels.

fuel economy ratings and use of recycled material content into a brandfmodel Automotive Market Environmental Sensitivity (AMES) index score used to rank the brandr‘modcls in fifteen vehicle utility classes (VUC.

Separate Brand/Model Definition To acknowledge manufacturers that exceed emissions standards required by regulation andi’or provide high fuel efliciency technology andfor reach leading levels of recycled US ?,092,898 El material content.

"Optimizing Mobile Software with Built-in Power Profiling.” Ver sion 1.0, May 19, 2009, Nokia, originally published as a chapter in the book “Mobile Phone Programming and its Application to Wireless Networking.” in Jun.

Some example systems, methods, and apparatus facilitate generation of local, national, personal, home, household, business, agency, and/or other entity energy averages.

The energy indices and/or averages can be used to understand and/or form fact-based policies and provide tools to track conservation progress at the personal, local, organizational, and/or national levels in a consistent manner.

In general, example systems, methods, apparatus, and articles of manufacture described herein may be used to mea Sure, calculate, and/or identify resource and/or energy con Sumption by a person, household, agency, corporation, com pany, government, and/or other entity.

The HRCM device 302 may additionally or alter natively utilize a wireless link instead of or to complement wired connection(s) from the meter(s) to the data collector 110 and/or to transmit resource consumption measurements.

De plus‘ aueune purtie it an [mile ou aeeord international qui aurait du étre cnregislre mais ne l'a pats as ne pourra invoquer ledit traile ou accord devant un organe des Nations Unies, Par 5a resolution 97 (I)?

25 August 1977 Project Grant Agreement Number 67?-?8~0005—2 Human Resources Development between the Government of the Republic of Chad acting through the Ministry of Foreign Afl'airs and Cooperation (Granteel and the United States of America.

30 November 1994 and 16 March 1995 Extension of the Agreement on privileges and immunities for liaison officers and other members of staff at the Europe] Drugs Unit in The Hague between the Kingdom ofthe Netherlands and the Grand Duchy of Luxembourg.

1 December 1994 and 15 February 1995 liaison Extension of the Agreement on privileges and immunities l'or officers and other members of staff at the Europe] Drugs Unit in The Hague between the Kingdom of the Netherlands and Ihc Republic of France.

L'objection so fonde sur l'artiele 6. paragraphe 1, de la Convention, aux lermes duquel "chaquc Etal conlractam designera les autorités prises es qualités, atlxquelles est attribuéc competence pour delivrer l‘apostillc prévue 3'1 l'article 3".

Party Quantified emission limitation or reduction commitment (percenlage of base year or period} Australia |{}8 Austria Belgium 92 Bulgaria“ Canada Croatia‘ Czech Republic“ Denmark Estonia" European Community Finland France Germany Greece Hungary“ Iceland | 10 lreland Italy Japan Latvia“ 9?.

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Inventors: James Neil NESS, Brisbane, Queensland (AU); Terence Peter DE LACY, Highgate Hill (AU); John Ashley SCOTT, Windsor, Ontario (CA); Graeme Leonard WORBOYS, Gilmore, Australian Capital Territory

[0224] An active policy of purchasing supplies of mate rials from sources using environmentally sound ingredients and processes can be a major contribution to resource conservation and biodiversity (i.e. through less impact on the balance of the local ecosystem).

[0272] The type of vehicle (size, engine capacity etc) is likely to be dictated by the local market, but the operation can still contribute to minimizing fuel consumption and associated emissions through ensuring regular maintenance as per the manufacturer's schedule.

Social commitment: ... Employees with primary address within 20km of operation/total employees Environmental & Social Performance Areas Green- Energy house manage- gases ment Air quality Fresh water resources Waste- Waste water manage- minimi- sation ment Social & cultural impact Land use manage- ment Eco- system con- servation Benchmarking (Earth Check ™) Indicators & Measures Sustainability Policy Policy in place Energy Consumption: Energy consumed/ Guest night or area under roof Potable Water Consumption: Water consumed/ Guest night or area under roof Solid Waste Production: Volume of waste/ Guest night or area under roof Social Commitment: Employees living within 20 km(fotal employees Resource Conservation: Ecolabel products purchased/Products purchased Cleaning Chemicals Used: Biodegradables used/Total chemicals used Optional Indicators & Measures Operation Selected Indicator: Measure selected from a predetermined list Operation Specified Indicator: Agreed measure put forward by the operation

Resource Conservation: ... Ecolabel paper purchased (kg) pa/total paper purchased (kg) pa Benchmarking (Earth Check ™) Indicators & Measures Environmental & Social Performance Areas Green- Energy house manage- gases ment Air quality Fresh water resources Waste- water manage- ment Waste minimi- sation Social & cultural impact Land use manage- ment Eco system con servation Sustainability Policy Policy in place Energy Consumption: Energy consumed/ Guest night or area under roof Potable Water Consumption: Water consumed/ Guest night or area under roof Solid Waste Production: Volume of waste/ Guest night or area under roof Social Commitment: Employees living within 20 km(fotal employees Resource Conservation: Ecolabel products purchased/Products purchased Cleaning Chemicals Used: Biodegradables used/Total chemicals used Optional Indicators & Measures Operation Selected Indicator: Measure selected from a predetermined list Operation Specified Indicator: Agreed measure put forward by the operation [0326] [0327] 7.

As it turns out (see Box and Draper, 1987 and Montgomery, 1991; refer also to the manual), this function looks more complex, contains "pockets" of high-density information at the edges (which are probably oflittle particular interest to the experimenter), and clearly it is not constant on circles around the origin.

This is, however, not necessary, and in cases when the experimental runs are expensive, or when it is not necessary to perform a statistically powerful test of model adequacy, you could choose for the cube portion designs of resolution III.

In cases where you want to minimize the occurrences of some undesirable product characteristics, you would compute the following SIN ratio: Eta = -10 * 10910 [(1/n) * L (yj2)] for i = 1 to no. vars See Outer Arrays in the Statistical Glossary.

In fact, the many additional diagnostic plots and other options available for those designs (e.g., estimation of quadratic components, etc.) may prove very useful when analyzing the variability (SIN ratios) in the production process.

(Note that for non-intercept models, some multiple regression programs will only compute the R-square value pertaining to the proportion of variance around 0 (zero) accounted for by the independent variables; for more information, see Kvalseth, 1985; Okunade, Chang, and Evans, 1993.