Simulation. An activity that mimics the reality of the clinical environment that is designed to demonstrate procedures, decision-making, and critical thinking through techniques such as role- playing and the use of devices (AANC, 2008). Wellness: Wellness is the optimal state of health of individuals or groups. There are two focal concerns: the realization of the fullest potential of an individual physically, psychologically, socially, spiritually, and economically; and the fulfillment of one’s role expectations in the family, community, place of worship, workplace and other settings (Xxxxx, Xxxx, & Xxxxxxx, 2006).
Simulation. Moreover, A.V. Simulation reserves its exclusive right to correct any errors contained in the SCANeR(tm)studio Software.
Simulation. A.V. Simulation shall be supplied with this report as soon as you become aware of any such error. A.
Simulation. In the event that the Use of the SCANeR(tm)studio Software is likely to lead to a claim for infringement, A.V. Simulation shall at all times be entitled, at its own option and expense, to: - Replace the licensed SCANeR(tm)studio Software by a software which does not infringe any rights, - Modify the SCANeR(tm)studio Software in order to eliminate any infringing part; - Take back the infringing SCANeR(tm)studio Software and refund you the corresponding portion of its fee, after an abatement for depreciation calculated over the SCANeR(tm)studio Software Use time; - Obtain for you the right to continue using the infringing SCANeR(tm)studio Software. The warranties and remedies provided by A.V. Simulation in relation to industrial and intellectual property right infringement as set forth in this article are exclusive and in lieu of all others. A.V. Simulation makes no representation and specifically disclaims all warranties and
Simulation. Integration of the SCANeR(tm)studio Software in any equipment, system or computer program supplied by a third party; - Any unauthorized modification or alteration of the SCANeR(tm)studio Software by you or by a third party in accordance with your instructions; - Any modification or alteration of the SCANeR(tm)studio Software by
Simulation. Failing this and should a claim be filed by a third party, you shall be personnally responsible for and bear all consequences of such claim and shall hold A.V. Simulation harmless from any recourse. Moreover, you shall indemnify and hold A.V. Simulation harmless from any loss, cost or expense suffered or incurred in connection with any claim, suit or proceeding brought against A.V. Simulation which alleges that the modification or alteration of the SCANeR(tm)studio Software stated below constitutes an infringement. – Integration of the SCANeR(tm)studio Software in any equipment, system or computer program supplied by a third party; - Any unauthorized modification or alteration of the SCANeR(tm)studio Software by you or by a third party in accordance with your instructions; - Any modification or alteration of the SCANeR(tm)studio Software by A.V. Simulation in accordance with your specific instructions; - Use of the SCANeR(tm)studio Software for any other purpose than its intended one . In any event A.V. Simulation reserves its right to institute proceedings, notably in case of infringement.
Simulation. This section includes starting simulation of the reference scenario, an overview of the assessment tools, and setting and simulating scenarios as variations of the reference.
Simulation. In this work, we analyse dependability metrics of rfts using methods based on Monte Carlo simulation. This involves taking random samples from the (stochas- tic) iosa model that underlies the rft. More specifically, Monte Carlo simulation means the discrete-event simulation process used to generate failures and repairs of the (iosa components that model the) BEs of the tree. As described in [3, 16], this process begins at simulation time 0 when all basic elements are operational. The next failure time of all these BEs and SBEs is randomly sampled, according to their failure/dormancy distributions, and stored in a heap with the smallest time T1 at the top. Then, simulation time advances until time T1, simulating a failure of the corresponding component. As soon as this happens, the repair time of that component is sampled and stored in the events-time heap. Next, simulation time advances until the smallest next-event time at the top of the heap, T2, simulating either another failure, or a repair of the broken component. This process continues until the predefined end-of-simulation time T . The resulting sequence of fail/repair events in times T1 < T2 < < T < T is called a simulation trace. The math- ematical definition of a compositional semantics for repairable dfts that allows this approach is introduced in [20]; moreover, [3] formally defines simulation traces in such iosa semantics. A main advantage of this approach when compared to purely combinatorial analyses is the capability to deal with non-Markovian distributions. Sampling discrete (random) events is a straightforward and efficient process with today’s scientific libraries and computer power. For instance, to estimate the unreliability of an rft one can sample N independent traces from its iosa semantics as described above. Then, an unbiased statistical estimator for p = unrelT is the proportion of traces observing a tle, pˆ [16]. The statistical error of pˆ can be quantified with two numbers δ and ε s.t. pˆ [p ε, p + ε] with probability at least δ. The interval pˆ ε is called a confidence interval (ci) with coefficient δ and precision 2ε. Such procedures scale linearly with the number of tree nodes and can handle non-Markovian failure and repair pdfs. However, they find a bottleneck to estimate rare events: i.e. if p 0, then very few traces observe the tle. Increasing the number of traces alleviates this problem, but even standard ci settings—where ε is relative to p—require sampling an unaccep...
Simulation. The dogs should be put through simulation exercises on a regular basis for detecting explosive substance concealed with human being, hidden inside vehicles etc. with the help of training aids as decided by the bank. In this regard, the vendor shall provide training kit at the RBI location as specified in the agreement document. Each dog is required to conduct at least one practice search every month and proper documentation to be done for the same. The practice search has to be conducted in the presence of the Bank’s Official.
Simulation. The consultant shall use the simulation program to compare the selected performance measures resulting from the new timing with the measures produced by the existing timing or other cycle lengths. In this way, the potential effectiveness of the new timing can be evaluated.
