Figure 12. Some of the SI base units model by using SysML Unit and QuantityKind
Figure 12. Temporal variation of resistivity in the observation well OB-2. The colour scale shows differential value from baseline data (From Xxxx et al. 2011).
Figure 12. The effective multiplication factor as a function of the vapour content of the coolant at different primary loop pressures. The errorbars represent the 2σ Xxxxx-Xxxxx variance of the k-effective values. 70 bar 10 bar 1 bar
Examples of Figure 12 in a sentence
Figure 1.2 and 1.3 show the geographical distribution of power generation assets by capacity and capacity mix.
Figure 1.2: Geographical distribution of the company’s power generating assets in 2019.
Steam Plant Electric Performance Guarantee for the Previous Twelve Months Figure 12.
Figure 1.2 details which sections of this manual you should study for each particular class of license and for each endorsement.
A minority, however, will have particularly severe or complex problems and require the services of a complex specialised rehabilitation service to progress (Figure 1.2).
More Definitions of Figure 12
Figure 12 lateral load waste collector (Mercedes-Benz Atego 2532L) of the SAV fleet used during the tests. OBD II port and OBD II reader are shown at the right. Figure 13: collector truck of voluminous waste (Mercedes-Benz Atego 1523) of the SAV fleet used to test the truck traceability system. In this case, the OBD II is not supported. An Android tablet with the developed application was provided to the drivers of the 2 trucks. The tablet had GPS and 3G capabilities required by the system. The instructions for the drivers were just to start the application at the beginning of the route and to finish the application at the end of the route. The truck traceability system was tested in both vehicles during a period of two weeks with a frequency of one route per day. During the routes, the application requested information from the OBD protocol and GPS with a frequency of 1Hz. The data stream was stored temporarily in the internal SQLite database of the Android application and sent to the remote server in packages of JSON arrays. The data is removed in the application database once the application receives response from the remote server confirming that data is received. In case of not 3G coverage, the application waits automatically for coverage to send the stored data packages. In case of not GPS coverage, the data from the OBD II is still recorded because the data is still valuable. As shown below, the GPS coverage was good enough with the A-GPS to obtain data streams with good quality even using the internal GPS of the Android tablet. The data was received in the server and stored in a SQL database. The data streams can be plotted and analysed to obtain valuable information. In the next steps of the project, the visualization and analysis of the truck traceability system will be integrated in the IoT cloud platform that is being developed by SAV in the PlastiCircle project.
Figure 12. Specific accuracy classification problem original retweeter Just as in classification problem 1, the accuracy of the not retweeted tweets is higher than the accuracy of the retweeted tweets.
Figure 12. The representation of an electromagnetic wave as it appears in physics textbooks. If you picture a water wave propagating outward, you notice that the wave has a certain size. The amplitude is just the height of each wave. But this does not apply to the electromagnetic waves. There is no physical "size" of the up and down oscillations in terms of spatial extent, certainly not in this purely classical plane-wave sense. When students look at pictures of waves, they build up a (seemingly perfectly reasonable) misconception that light in some sense takes up space and needs room to wiggle. But what's oscillating is not a physical substance moving up and down. What's oscillating is the strength of the electric and magnetic fields. The up-and-down displacement of the printed wave in the diagram merely represents the strength of the field at that point. Nothing is actually moving up and down, and thus the wave is not actually ‘taking up space’. A wave with higher amplitude will not get "stuck" in its passage through a small opening any more than a wave with small amplitude. Thus light as a wave is a little more abstract than waves of spatial displacement and the field trip to the interactive exhibition of the Eugenides Foundation offers a good chance to work on this concept with the students and to assess the impact of our intervention. Three interactive exhibits (the Electromagnetic Spectrum, the Parabolic Acoustic Mirrors and the Sound Waves Drum) were chosen for an educational field trip on the study of electromagnetic and sound waves. The main educational aim of the proposed educational pathway was to introduce students to the concept of waves and help them understand the different nature of electromagnetic and sound waves, their main properties and their main characteristics. More specifically, the scientific concepts that were communicated to the students were the following: The nature of electromagnetic and sound waves The presentation was based on the use of images, animations and visualisations in a complementary way so all the necessary links to the curriculum can be established. Light is a set of electromagnetic waves produced by the sun. Electromagnetic waves do not require movement of matter. To propagate, they rely instead on magnetic and electric fields naturally produced by every object in the universe. Visible light is an electromagnetic wave as are radio waves, microwaves, infrared, ultraviolet, X-rays and gamma rays. The human eye can detect onl...
Figure 12. Location of experimental Spanish long lining in the Kiribati sea area over 2004 The gear used by these 5 vessels cited was the ‘American style’ (Florida style modified) surface long line, with an average of 1,055 hooks per set. Over the course of these fishing activities the overall catches retained taken by all 8 vessels fishing to the west of 130ºW were: swordfish 693t., blue shark 1,291t., shortfin mako 238t., tunas 89t., billfish 38t. and others species 1.2 t. The total nominal fishing effort was 1,009,850 hooks set during a total of 952 fishing days or sets. The overall nominal CPUE or mean fishing yield in round weight per thousand hooks resulted in 686 kg of swordfish, 1,279 kg of blue shark, 236 kg of shortfin mako, 88 kg of tunas, 38 kg of billfishes and 1.2 kg of other species. Source: Instituto Español de Oceanografía, 2005 Catches by I-Kiribati vessels have been very low – in 2003 only 8 t fish was caught, consisting of 2 t yellow fin, 1 t bigeye and 5 t other species. Catch per Unit Effort: there have been two peaks (1994 and 1997) in the bigeye nominal CPUE for Korean longline fishery in Kiribati EEZ, with more than one fish per hundred hooks (figure 13). A lower CPUE of less than 0.6 was observed for the period 1999 to 2000 and provisional data shows further decline over 2003 - 2004. For yellowfin tuna, a peak of more than one fish per hundred hooks was in 1996 with a record low of less than 0.4 fish/hundred hooks in 1999. Overall, notwithstanding the peaks mentioned above, there has been a decline in CPUE for both species.
Figure 12. PrDP Test Sheet – Pass/Fail certified on front (left), practical test result on back (right)
Figure 12. DMA-80 in Laboratory Containment Unit. Researchers also created a rack to hold the sampling boats while in the hood. Once all sample handling within the boat is finished, technicians use tweezers to move the boats from the rack to the autosampler. Figure 13 shows the slotted holder. Figure 13: DMA sample boat rack.
Figure 12. Industrial electromagnetic pulse joining system with circular coil Image courtesy of: Poynting GmbH