Use Case. The purpose of tokens in 'read' and 'bring online' primarily is to steer data streams or better to steer the location of files. The space reservation aspect of tokens is of minor interest. An example is that the same dataset may be needed by the reprocessing system as well as for FTS export or user analysis. It would be envisioned that this file is served to the various competing processes by different locations in the system mainly not to interfere or slowdown expensive reprocessing.
Use Case. In order to evaluate the prototype, a dedicated server was setup in AUTH data center with the following specifications: • Operating System: Windows 2008 Server 64bit • CPU: 2 Xeon CPUs 2.5Ghz • RAM: 4 GB • Hard Disk: 20GB (SAS) plus 60GB (SATA) Remote access and networking were also established and the prototype application was installed and tested continuously during the last stages of development from September 2011 to November 2011. The final test was conducted from the 22nd to the 24th of November 2011. A ping server with high traffic was monitored during this time and 2 URL filters were set a) *xxxxxxxx.xxx/0000* and
Use Case. 1 In this UseCase the user will be able to carry out a free research regardless of the data provided on his/her own profile and the fact that he/she has completed a registration or not. The Use Case 1 of the wizard is available at the following link: xxxx://xxxxxx-xxx.xxxx.xxx.xx/caress2-dev/index.php/component/wizard/?view=case1 Figure 19 - Choosing type of free search The possible researches start either from the Country or the HHCP specifying the other field later on.
Use Case. 1.3 Document overview In this report we will first explain what we mean when talking about workflows, workflow generation and quality of service management in chapter 2. We will also extract some high level functional requirements on WF generation and management in the context of the Productive4.0 project. In chapter 3 we will investigate and analyse what the requirements are on workflow generation and quality of service management in the context of the Productive4.0 project, focussing on challenges in product lifecycle management (PLM) and supply chain management (SCM). The requirements will pertain to PLM and SCM in general, but to Productive4.0 use-case defined in task 9.2 on Digital Product Footprint in particular. In chapters 4, 4.3 and 0 we will provide an overview the current state of the art in workflow representation, workflow generation and management and quality of service management respectively in the light of the requirements documented in chapter 3. We conclude this report with some recommendations and conclusions regarding the feasibility of technological solutions regarding workflow generation and management in the context of Productive4.0 in chapter 7.
Use Case. 3 – Heat transfer from three particles This use case has been selected to test the solver’s ability to model multiple particles that are separated by a comparably large distance (see Figure 3). Also, for this specific flow configuration, reference data from literature was available. As can be seen from Figure 4, the agreement with both sources of literature data agree very well with our predictions for the force and heat flux experienced by the individual particles. Figure 3: Streamlines predicted using the new HFD-IBM for flow around three spheres aligned with the main flow direction. Force (compared to Xxxxxxxxxx et al.) Heat Flux, d = 2.dp Figure 4: Relative deviations of the predicted force (left panel) and heat flux (right panel) when using the HFD-IBM solver from literature data.
Use Case. 4 – Heat transfer from two particles The three-particle test case discussed in Chapter 2.3 contains particles that are located at relatively large distance. However, for a typical situation (i.e., a randomly-oriented particle ensemble), particles may often be located very close to each other. Initial test runs showed that this situation is especially difficult to handle for Immersed Boundary Method-based solvers. Hence, we have included a use case that considers two particles (with their connecting axis perpendicular to the main flow) at a relatively small distance to each other (see Figure 5). Fortunately, this setup is simple enough to allow us to obtain a reference solution using a body-fitted mesh (the mesh is fine enough to fully resolve all details of the flow, data not shown). Our analysis of the force and heat flux data indicates, that the predictions of the new HFD-IBM solver is within ca. 6 % of the solution obtained with a body- fitted mesh. This suggests that our HFD-IBM solver is indeed able to correctly predict the flow and the temperature (or other scalar) fields in dense fluid-particle suspensions. HFD-IBM Body-Fitted Mesh Figure 5: Comparison the dimensionless temperature field (color contours), as well as the streamlines (black lines) for the new HFD-IBM solver (left panel), and a solution obtained with a body-fitted mesh (right panel, flow is from left to right). Heat Flux Drag Force Figure 6: Relative error of the heat flux (left panel), as well as the force (right panel) when using the HFD-IBM solver (the reference is the solution obtained with the body-fitted mesh).
Use Case. 5 – Heat transfer in a fixed periodic particle bed This case is the most relevant one, since it is closest to the final application of the DNS solver, i.e., the prediction of heat and mass transfer in a randomly-arranged particle bed (mono-sized particles). Unfortunately, for this situation, it was very challenging to generate a body-fitted mesh. Hence, the results are only compared to literature data (see Figure 7). As can be seen, the agreement with the results of Xxxx is excellent, whereas the more recent results of Deen et al. are somewhat below our predictions. Figure 7: Comparison of the predicted Nusselt number (red crosses, each data points represents the mean value obtained from multiple realizations for identical system parameters), as well as the newly developed correlation (red lines) with literature data (black and blue lines). Also, the newly developed correlation (see next Chapter for details) approximates the predicted Nusselt numbers reasonably well, indicating that the chosen functional form for the Nusselt numbers seems to be appropriate.
Use Case. Agenda (Agenda Service – Care & Wellness Service) When you invite a person to an activity and he accepts or rejects would you like to be notified? When yes, how would you like to be notified? (mail, xxxxxx confirms in speech, or both) What kind of activities (not organisation but private activities that elderly organise themselves) should be in the activity system of the avatar as standard? Like for example: Cognitive: playing cards, sudoku, chess, puzzles cross word puzzles Social: playing cards, handcrafting, playing pool, drinking coffee Physical: going for a walk, going to fitness, movement garden ORBIS. Elderly 9 Caregiver/ Elderly
Use Case. Autopilot Drone (AD) Overview Commercial and industrial UAVs use autopilots, which are typically powered by microcontrollers. When the drone application requires more on-board processing power, it is usually solved by adding a microprocessor-based companion computer. Good examples of such application are real-time computer vision or large-scale data gathering from external sources. It is important to integrate their capabilities without interfering with the UAV autopilot main task, the flight control. A wide variety of sensing devices can be integrated into such setup, but the power efficiency and cost of the platform with all the components is a major factor. Adding new computing and sensing capabilities with minimal increase in battery consumption is especially important for UAVs. This is where micro-ROS is very useful, allowing to easily connect inexpensive and power-effective microcontroller-based external sensors to the autopilot. Additional benefits come from seamless integration with existing ROS 2 packages and systems that can interact with drone thanks to micro-ROS. This use-case is based on the data gathering and processing scenario commonly used in the commercial and industrial UAV markets. This scenario appears in different applications such as crop management (Precision agriculture), environment measure and observation, search and rescue and similar applications. In this case, we use the environment measure and observation scenario, providing measures taken on the fly by the UAV and measures taken from an external sensor placed on a UAV reachable place. We will focus on environmental metrics like sound, humidity, pressure and/or temperature. External sensors measures will be used on the central computer, in this case, they will be incorporated into a historical of the measures in the gathering spot. Apart from environmental measures, Autopilot will use data gathered from sensors placed on board for enhancing flight capabilities. These on-board sensors can improve flight control capabilities and precision. Adding external inertial measurement unit, IMU, or as in this case, using an external height/altitude sensor, e.g. barometer, rangefinder, can improve the flight control capabilities of the Autopilot.
Use Case. Donors do not wish to be completely anonymous, but wish to approve any use of their name(s).
