Simulation results Sample Clauses

Simulation results. 4.1. Vehicle parameters and the values used in the simulation that are not taken from the actual test vehicle (implicit):............................................................... 4.2. Yaw stability and lateral displacement according to paragraphs 3.1. to 3.3. of Annex 9: ............................................................................................................

Simulation results. 4.1. Vehicle parameters and the values used in the simulation that are not taken from the actual test vehicle (implicit): 4.2. Results laden and unladen with the vehicle stability function switched on and off for each test conducted under paragraph 3.2. of this Appendix, including the motion variables referred to in Annex 21, Appendix 2, paragraph 2.1. as appropriate:

Simulation results. Esitmated value g(1000,0.01,w ) Simulated value L 400 350 The number of bits leaked to Eve 300 250 200 150 100 50 0 50 100 150 200 250 300 350 400 450 500 Block length w in pass 1

Simulation results. ‌ This section presents some numerical examples illustrating the performances of our proposed schemes and finally compared together. For simplicity, the scenario is as- sumed with a single secondary BS serving two secondary users and a single primary cell-edge user within the cognitive cell. It is also assumed that there is one primary user per primary cell which is located in the outer part of the cognitive cell, but within the close vicinity. Note that each user is equipped with a single antenna. As shown in Fig. 3.1, secondary and primary cell-edge users within the cognitive cell are located in sector 3, i.e. q=3. The experiment is done with a single scatterer, i.e, Q = 1. The angular spread of local scatters surrounding the users is to be assumed 2 degrees. The spacing distance between the array elements is λ/2. The carrier frequency is 2 GHz. The noise variance plus the intercell interference is set to 1. In this simulation, SeDuMi solver under optimisation solver CVX [6], [89] is used to attain the optimal solution for the problems stated in (3.16) and (3.21). The azimuth directions (angle of propagation with respect to the antenna array broadside) of the users as well as the angular spread due to the local scatters cor- responding to the sector of the secondary BS can be estimated using the algorithm

Simulation results. The simulation results for the MFSCo-ECC (Multi-Factor Scheme with Stochastic Combinatorial Optimization based on Elliptic Curve Cryptography) represent a comprehensive evaluation of the proposed security framework in the context of data confidentiality and integrity within the Internet of Things (IoT) environment. Through varying simulation runs from 10 to 100 instances, we scrutinized the performance of MFSCo-ECC in terms of communication and computation costs, computational overhead, and the overall security metric. The simulation results for the multi-factor authentication in the IoT environment for the proposed MFSCo-ECC model is presented in Table 2.

Simulation results. Denote by HiMPC49 the upper-layer MPC controller running every TH = 49 · TL seconds, based on prediction model (21), obtained by resampling (3) with sampling time TH. Denote by HiMPC49 the alternative controller based on model (22). To demonstrate the effectiveness of the proposed hier- archical approach, we compare it to other two controllers: “HiNone”, where the upper layer is simply bypassed and constraints are ignored by feeding p(t) to the lower level, and “HiQP” that selects rk according to the following quadratic program (QP) rk rk −rk−1 2 + rk − p(t) 2

Simulation results. In this section we present our simulation results for four uSLA, two workload types, and three parameter variations.

Simulation results. 4.2.1 Overall evaluations across all settings Coverage Probability of 95% CI

Simulation results. An Optimized trajectory