This technicalnote describes booting from an embedded MMC device—such as Micron’s e-MMC™ embedded memory—and provides supporting documentation for designers incorporating MMCs in their applications. It draws on the MMC specification published by the MultiMediaCard Association and includes details from that specifica- tion (the complete specification is available at: www.mmca.org/home).
To provide an updated technicalnote on granulation technology (GT), mostly on novel GT, that will help researcher working/engaged in designing an efficient GT for getting granules with desired features. Granules were most widely used in the production of pharmaceutical oral dosage forms. Advancement in GT had revolutionized the sphere and resulted in development of several processes. Each and every process had advantages and disadvantages, and limitations. Depth knowledge in GT was a prerequisite to process product for obtaining targeted granulation with desired product parameters. In this regards updated literatures were collected from data bases, studied and was presented for easy reference of scientists engaged in granule production, so that they can adopt appropriate and suitable GT. Presented handy note will help researchers in designing a robust GT for getting optimised granule.
unacceptably large standard errors due to limited sample sizes. Census data offer the required level of coverage but do not generally contain the appropriate information. This has led to the development of a range of alternative methods aimed either at combining survey data with unit record data from the Census to produce estimates of income or expenditure for small areas (Elbers et al. (2002)). This technicalnote describes the development of a Poverty Map of Tajikistan combining information from the 2003 Tajikistan Living Standards Survey (TLSS) with 2000 Census data. In order to visually present the spatially disgaggregated estimates of welfare in Tajikistan, this project has also involved the production of a digital map of the country showing the administrative boundaries at the time of the 2000 Census at both the rayon (district) and jamoat (lowest administrative area) level.
● ● ● Some waiting line problems that seem simple on first impression turn out to be extremely difficult or impossible to solve. Throughout this supplement we have been treat- ing waiting line situations that are independent; that is, either the entire system consists of a single phase, or else each service that is performed in a series is independent. (This could happen if the output of one service location is allowed to build up in front of the next one so that this, in essence, becomes a calling population for the next service.) When a series of services is performed in sequence where the output rate of one becomes the input rate of the next, we can no longer use the simple formulas. This is also true for any problem where conditions do not meet the requirements of the equations, as specified in Exhibit TN6.9. The technique best suited to solving this type of problem is computer simulation. We treat the topic of modeling and simulation in TechnicalNote 15.
Microsoft Word A Technical Note on the Smith Wilson Method 100701 doc 1 FINANSTILSYNET The Financial Supervisory Authority of Norway 1 July 2010 A Technical Note on the Smith Wilson Method 1 Introduct[.]
Age, sex, etiology of genioplasty, anterior surgical and orthodontic treatment, preoperative morphological profile (occlusion type, chin recoil, mouth opening), preoperative analysis by cephalometry and dental molding, postoperative morphological profile (occlusion type, degree of advancement of the chin, oral opening), indication of surgery, duration of surgery, patient satisfaction, operative follow-up of clinical and radiological procedures, and technicalnote.
general, F has been selected from the list LN3, GEV, GLO, PE3, LP3. Note that any F is used to fit records from any parent P , as in real cases the exact parent distribution is not known a priori. In this way, the error due to the misspeci- fication of the fitting distribution is included in the results. The correction factor y (Eq. 4) has been computed for all the available records in the simulated dataset and for different return periods T (respectively, equal to 50, 100, 200, 500 and 1000 years). It depends on the fitting distribution F adopted in the frequency analysis. Finally, the exact y values have been regressed against n and T to obtain their estimate
The SDMX initiative is a cooperative effort between seven international organizations: the Bank for International Settlement (BIS), the International Monetary Fund (IMF), the European Central Bank (ECB), Eurostat , the World Bank (WB), the Organization for Economic Co-operation and Development (OECD), and the United Nations Statistical Division (UNSD). The output of this initiative is not just the technical standards, but also addresses the harmonization of terms, classifications, and concepts which are broadly used in the realm of aggregate statistics. The technical standards are now in their second version are registered with ISO as Technical Specification, ISO- 17369.
Based on the latest estimation of the model we consider the sample from January 1997 to August 2010. Tables 2 to 4 show the main results for the model. For the case of provisions we can see that the signs of the macroeconomics variables are as expected, and also the overall fit is about 50%. The short-term interest rate has a positive impact meanwhile output growth has a negative one. It is interesting to note that interactions between credit growth and macroeconomics variables are significant as we stated in the theoretical framework. This finding will be relevant for the simulation part as non-linear effects will be generated with this interactions.
room’s overtime can be costly because it involves staff overtime as well as additional overhead costs; on the other hand, idle time costs can also be high because of the oppor- tunity cost of unused capacity (Erdogan and Denton 2011). A similar trade-off exists in scheduling container ships arrivals at a container terminal (Sabria and Daganzo 1989). Another example comes from a production system that has multiple stages and stochastic leadtimes and the objective is to determine planned leadtimes to minimize expected cost (Elhafsi 2002). Note that in most of the applications men- tioned above (e.g., tasks in project management, planes at an airport gate/runway, container ships arriving to a termi- nal, certain surgeries/tests in a hospital) the sequence of jobs (tasks, appointments) is not controlled by the sched- uler who makes the duration allocation decisions.
Fig. 6. Example of a calibration diagram, with the measuring points (squares) of the logarithmical output signal in relation to the path length x for nearly constant partial density of water vapour and oxy- gen (note that this appears similar to the original calibration curve from Campbell Scientific, Inc., except that there the abscissa rep- resents the absolute humidity for constant path length), and the re- gression line in the nearly log-linear part of the response function, device KH20 No. 1649, Zwickau, 14 July 2011, ρ w = 7.8 g m −3 , ρ o = 241 g m −3 .