Current Issue : July - September Volume : 2019 Issue Number : 3 Articles : 5 Articles
Details are presented of the development and incorporation of a generation and\ntransmission reliability approach in an upper-level sustainability assessment framework for power\nsystem planning. This application represents a quasi-stationary, multiobjective optimization problem\nwith nonlinear constraints, load uncertainties, stochastic effects for renewable energy producers, and\nthe propagation of uncertainties along the transmission lines. The Expected Energy Not Supplied\n(EENS) accounts for generation and transmission reliability and is based on a probabilistic as opposed\nto deterministic approach. The optimization is developed for three scenarios. The first excludes\nuncertainties in the load demand, while the second includes them. The third scenario accounts\nnot only for these uncertainties, but also for the stochastic effects related to wind and photovoltaic\nproducers. The sustainability-reliability approach is applied to the standard IEEE Reliability Test\nSystem. Results show that using a Mixture of Normals Approximation (MONA) for the EENS\nformulation makes the reliability analysis simpler, as well as possible within a large-scale optimization.\nIn addition, results show that the inclusion of renewable energy producers has some positive impact\non the optimal synthesis/design of power networks under sustainability considerations. Also shown\nis the negative impact of renewable energy producers on the reliability of the power network....
The monitoring of cultural heritage is becoming common in cities to provide heritage preservation and prevent vandalism. Using\nsensors and video cameras for this task implies the need to transmit information. In this paper, the teletraffic that cameras and\nsensors generate is characterized and the transmissionsâ?? influence on the municipal communications network is evaluated.Then,\nwe propose models for telecommunication traffic sources in an intelligent municipal heritage management service inside a smart\nsustainable city. The sources were simulated in a smart city scenario to find the proper quality of service (QoS) parameters for\nthe communication network, using Valencia City as background. Specific sensors for intelligent municipal heritage management\nwere selected and four telecommunication traffic sources weremodelled according to real-life requirements and sensors datasheet.\nDifferent simulations were performed to find the proper CIR (Committed Information Rate) and PIR (Peak Information Rate)\nvalues and to study the effects of limited bandwidth networks. Packet loss, throughput, delay, and jitter were used to evaluate the\nnetworkâ??s performance. Consequently, the result was the selection of the minimum values for PIR and CIR that ensured QoS and\nthus optimized the traffic telecommunication costs associated with an intelligentmunicipal heritage management service....
The variable data is obtained from the measurement process which is not fully complete or clear in nature due to measurement\nerror. The neutrosophic statistics which is the extension of classical statistics can be applied in the industry for the lot senescing\nwhen observations or parameters are uncertain or indeterminate or unclear. In this manuscript, a new sampling plan for the\nmeasurement error using the neutrosophic statistics is designed. The proposed sampling plan has two neutrosophic parameters,\nnamely, sample size and acceptance number.The neutrosophic operating function is also given. The neutrosophic plan parameters\nwill be determined through the neutrosophic optimization problem. Some tables are given for some specified parameters. From\nthe comparison study, it is concluded that the proposed sampling plan is more flexible, adequate, and effective in the uncertainty\nenvironment as compared to the existing sampling plan under the classical statistics. A real example is given for the illustration\npurpose....
Perceptual video coding (PVC) can provide a lower bitrate with the same visual quality\ncompared with traditional H.265/high efficiency video coding (HEVC). In this work, a novel\nH.265/HEVC-compliant PVC framework is proposed based on the video saliency model. Firstly,\nboth an effective and efficient spatiotemporal saliency model is used to generate a video saliency map.\nSecondly, a perceptual coding scheme is developed based on the saliency map. A saliency-based\nquantization control algorithm is proposed to reduce the bitrate. Finally, the simulation results\ndemonstrate that the proposed perceptual coding scheme shows its superiority in objective and\nsubjective tests, achieving up to a 9.46% bitrate reduction with negligible subjective and objective\nquality loss. The advantage of the proposed method is the high quality adapted for a high-definition\nvideo application....
An overview of current debates and contemporary research devoted to the modeling of decision-making processes and their\nfacilitation directs attention to the quality of priority ratios estimation through pairwise comparisons. At the core of the process\nare various approximation procedures for a pairwise comparison matrix which, in a sense, reflects preferences of decision-makers.\nCertainly, when judgments regarding these preferences are perfectly consistent (cardinally transitive), all approximation procedures\ncoincide and the quality of the prioritization process is exemplary. However, human judgments are very rarely consistent,\nand thus the quality of priority ratios estimation may significantly vary. Obviously, the range of these variations depends on the\napplied approximation procedure for a pairwise comparison matrix. Although there are many approximation procedures which\ncan be applied in the prioritization process, it has been promoted for many decades that only one should be applied and no others\nqualify. This paper suggests this opinion is a fallacy. Research results argue that a genuine, commonly applied approximation\nprocedure for a pairwise comparison matrix may deteriorate the quality of priority ratios estimation. Thus, a number of solutions\nare also proposed which can improve the process of priority ratios estimation. In order to provide credible and high quality results,\nthe problem is studied via a properly designed and coded seminal simulation algorithm, executed in Wolfram Mathematica 8.0....
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