Scenario Sample Clauses

ScenarioThe Institution owns the Results and grants the Collaborator a non-exclusive licence to use the Results. The Collaborator has the right to call on the Institution to negotiate an assignment.
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Scenario. To provide a straightforward evaluation, the selected evalu- ation scenario describes the application of the approach using the response time metric, which is a QoS-related (e.g., latency, throughput, and packet loss) SLA. The metrics in QoS- related SLAs are quantitative, being able to be automatically verified in the SC. Nevertheless, the designed approach can be modified to fit different types of SLAs, such as service availability. The evaluation scenario was composed of a web server and a client performing periodic requests. A Raspberry Pi model B with a quad-core ARM Cortex-A7 CPU @ 900 MHz, 1 GB of RAM, and a 150 Mbps Wi-Fi dongle hosted an Apache web server, and a Lenovo ThinkPad T430 with a quad-core Intel(R) Core(TM) i7-3520M CPU @ 2.90 GHz, 16 GB of RAM, and a 1 Gbps Ethernet connection performed the requests as the client. The client requested at every 1 s a PHP page that performed random calculations to introduce load in the server. Moreover, after each finished request, the client retrieved the response time of the request and stored this value in a Comma- Separated-Value (CSV) file. During a 30 minutes interval, 1800 requests were performed and measured (30 min 60 s = 1800); the response times of these requests are depicted in Figure 2. It can be seen in the graph that the majority of the requests were answered in 0.2 s to 0.3 s, and that there are requests with response times over 0.6 s. The average response time for the period was 0.2445 s. Based on these values, the violation threshold was fixed to 0.3 s, which is depicted using a red dashed line in the graph. 0.9 0.8 Response Time (seconds) 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 Response Time Violation Threshold Fig. 2: Response Time between the Client and the Web Server Listing 6: Compensate and Deposit Functions
ScenarioThe Institution owns the Results and grants the Collaborator a non-exclusive licence to use the Results.
ScenarioThe Participant has agreed to load shift of 1MW per Event at a price of $27,000 per MW (Bid Rate). There is a total of 26 Events for the Term. There were 2 Events in a Month. The Baseline for this Premises had been measured and established as 2MW for the first Event and 1.5MW for the second Event. For the first Event, the actual demand at the Premises was 2.6MW. The fees payable by Western Power to the Participant for the first Event will be calculated as follows: The maximum possible fees for the Event is $1,038.46 comprising an Availability Incentive of $207.69 and Performance Incentive of $830.77. The Achieved Flexibility for this Event is equal to the difference between the actual demand at the Premises and the Baseline (i.e 2.6MW – 2MW = 0.6MW). This equates to 60% of the 1MW Flexibility Target. Performance Incentive = $830.77 x 60% = $498.46 Availability Incentive = $207.69 Fee Payable: $498.46 + $207.69 = $706.15 For the second Event, the actual demand at the Premises was 1.9MW. The fees payable by Western Power to the Participant for the second Event will be calculated as follows: The maximum possible fees for the Event is $1,038.46 comprising an Availability Incentive of $207.69 and Performance Incentive of $830.77. The Achieved Flexibility for this Event is equal to the difference between the actual demand at the Premises and the Baseline (i.e 1.9MW –
Scenario. 2 applies to employees who are appointed to a role to which this clause 45 applies but who act in a position not covered by this Agreement (that is, a senior contract position). Scenario 1 Scenario 2 Salary Paid the salary for the position as described in Appendix 1A for the period of acting. *Greater of: • the minimum remuneration for the senior contract position; or • a higher grade rate set by their General Manager /managers where applicable; or • their current rate. Leave Any form of leave during the first 13 weeks of the acting higher grade, the period of leave will not attract the higher rate of payment. Any form of leave during the first 13 weeks of the acting higher grade, the period of leave will not attract the higher rate of payment. Conditions Shall work in accordance with the conditions of this clause 46 while acting Shall work in accordance with the conditions of this clause while acting. Employees who are not appointed to a role to which this clause 46 applies but who act in a position under this clause 46 are not entitled to either: • take; or • accrue rostered day off during the period of acting.
Scenario. Registering a consumer and supplier to receive and supply anEvent using the PUSH method.
Scenario. Start an Activity and its associated UI. This is one pattern for starting a unit of work (which involves launching a user interface). In this pattern, the activity is the starting point. From the user’s point of view, a user starts a unit of work to do his / her work. The unit of work (activity) may or may not launch a user interface to complete the unit of work.
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Scenario quality was relatively poor; definitely not something that one would expect from programs that are entrusted such an important process like an election. In fact, if he could get access to one of these new e-voting machines, he could easily insert a malicious memory card that can take complete control of this machine. This would allow Xxxx to freely tamper with the data on this machine, adjusting the votes to his liking. That sounded like an interesting plan. However, tampering with a single machine can hardly influence the outcome of an entire election, and when a single voting machine would contribute millions of votes to the end result, this would clearly raise some eyebrows. So, this wouldn’t work. Xxxx was almost ready to give up when he realized that voting machines are actually not stand-alone devices, but they are all connected to the central tabulation server at the Ministry of Interior. This was one of the arguments for e-voting after all; the results would basically be available at the instant the voting booths close, and there is no tedious waiting for hours while votes are counted and no more imprecision due to miscounting by hand or lost bags of votes. Thus, Xxxx could use the network to spread his malicious code from voting machine to voting machine, something that computer worms have already demonstrated to be feasible on the scale of the Internet. And in this scenario, all machines are exactly the same, running the same vulnerable software on the same hardware platform. It was an ideal breeding ground for distributing his software. He still had to get access to a single voting machine to insert his “upgraded” memory card and launch his malware program, but this was easy. Definitely much easier than physically tampering with all, or a large number of, voting machines. Xxxx checked out the school next to his home. Rolling out voting machines is not a trivial tasks from a logistics point of view, and thus, the government started to move the machines to the voting places, such as schools and public offices, several days before the election day. Of course, the door to the school building was looked, but this is by no means a building that is built to withstand a determined intruder. In fact, it is not uncommon that kids enter their school after hours or during the weekend, just to prove their courage to others. Thus, Xxxx simply waited until the night and checked out the premise. It was easier than expected, the door was not even locked, and so ...
Scenario. It is under investigation the impact of digital technologies (DiDIY-related) on the activities carried out by a xxxxxxx activities in such a way that his/her role will be critically reshaped. We believe that together with activities competences will be reshaped accordingly. For example, a worker will need not only operation competences to execute specific tasks on a product but event strategic competences traditionally pertaining to manager. This big shift is resulting from the digital potential that nowadays is impacting on the automation of activities, especially in production (McKinsey, December 2015). An example we expect to gather from our data collection will be the following: understanding how the work of a xxxxxxx (e.g., a supervisor of job activities in a production cell) in production is reshaped by the introduction of recent digital technologies (e.g., IoT, Mobile, Cloud, …) in such a way that instead of simply allocating jobs to workers (following a schedule defined by top managers) he will take strategic decisions on which are the most critical activities to be prioritized. Clearly, this will put him/her in a position to freely allocate – based on decision taken at production level (related to worker’s competences, workstation saturation, …) – the job to be carried out. Therefore this action will carry a set of strategic skills that previously were not part of the skills portfolio pertaining to him/her thus. This flexibility, enabled by both software to support production such as PLM and new hardware to track items and grant visibility such as RFId and sensors, is transforming the traditional production context. Summarizing, according to this technological shift, we aim at investigating the impact, of such opportunity to have big data about production, on the activities carried out by a supervisor of a production process.
Scenario. In the ISP-1 Delft workshop two processes were determined to improve decision making in product lifecycle: engineer to engineer collaboration and interaction; problem solving for maintenance. The major challenges in both processes are related to collaborative design decision support problems and require the participation of various designers and engineers. Identifying the best possible participants for the collaborative process will be one of the major tasks for the Semantic Social Collaboration Suite (SSCS). The following sections focus on the process support itself.
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