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The good operation of Java Bali System aims to achieve a reliable, efficient and economical Operating System. Reliability is generally examined in two criteria: availability of supply (adequacy) and securities (quality of voltage, frequency, and dynamic stability). Currently, there are many reliability parameter applied in Java Bali System such as bulk system, generation, and transmission. All these...
This work investigates a micro immune optimization algorithm originated from the danger theory for single-objective probabilistic constrained optimization without any prior stochastic distribution information. In the whole process of population evolution, the current population is divided into species with different danger levels in terms of constraint dominance and danger radius update. Those species...
The problem of dependability assessment can be solved analytically just under predefined conditions. If they do not hold, alternative approaches must apply. Widely, they rely on the Monte Carlo simulation, suffering by the high computational complexity. Some rest on further instruments such as probabilistic timed automata that have been shown to be efficient to solve problems in various areas. However,...
The last decades have witnessed the development of degradation modeling based remaining useful life (RUL) estimation, especially for Wiener process based degradation models. However, most researchers paid their attention to the drift coefficient representing the degradation rate, while much fewer eyes focus on the diffusion coefficient. The under consideration of diffusion process may cause bias in...
A phased-mission system (PMS) is usually consisting of a number of non-overlapping phases, and the phases should be completed sequentially to achieve a successful mission. In practice, imperfect fault coverage (IPC) plays an important effect on the system reliability. In this paper, stochastic multi-value (SMV) models are proposed to predict the system reliability of a multi-stated PMS consisting...
Main objective of this paper is research and development of the previously developed original methodology so that to be used for unavailability calculation of a complex maintained system with maintained (both preventively and correctively) and ageing input components with optional distributions of the time to failure. Original computing methodology results from the stochastic alternating renewal process...
For components having dependent and possibly non-identically distributed lifetimes, we study the stochastic comparison between lifetimes of a used coherent system and a similar new system consisting of used components. Sufficient conditions for the usual stochastic order, the hazard rate order and the reversed hazard rate order under the situation when component lifetimes have general distribution...
The vehicle routing problem (VRP) is one of the central problems in logistics and supply chain management. In this paper, we present a simulation approach for cost and reliability analyses for the vehicle routing problem with stochastic demands. The objective of this study is to provide a method in evaluating the reliability and the associated cost of a VRP solution by using simulation. First, a deterministic...
We consider Byzantine attack detection for Gaussian two-way relay network which carries large volumes of data. Two source nodes communicate with each other with the help of an amplify-and-forward relay which may perform Byzantine attacks by forwarding altered symbols to the sources. For simple investigating the detectability of attacks conducted in Gaussian channels, we focus on the multi-access (MA)...
In this article, a novel multilevel Monte Carlo (MLMC) simulation approach is applied for large distribution systems reliability evaluation. Basic Monte Carlo simulation (MCS) can be effectively used in this purpose. However, main limitation of MCS is the huge computational cost when a large sample size is needed for a high accuracy. The MLMC method reduces the variance of MCS and speeds up its computational...
In this paper, we study the purchasing strategy problem when the suppliers' reliability is uncertain. This problem is derived from the real world situation in the power metering device industry. Besides the price and product category each supplier can provide, the purchasing strategy is also influenced by other intangible impacts, i.e. wild fluctuations of suppliers' reliability and lead time can...
In this paper, we propose a dynamic resource optimization scheme for a heterogeneous wireless network combining with a radio frequency (RF) access point (AP) and multiple visible light communication (VLC) APs. For adapting to the stochastic media content arrival rates and dynamic wireless channel conditions, a two-timescale stochastic network resource optimization problem is formulated by employing...
Crowdsourcing has established itself as a powerful tool to collect human input for data acquisition and labeling. Conventional laboratory experiments can now be addressed to a wider and diverse audience. This paper presents a study performed both in a laboratory and on a mobile-crowdsourcing platform, adopting a paired-comparison setup to obtain ratings of voice likability. We show considerations...
One of the goals of 5G wireless systems stated by the NGMN alliance is to provide moderate rates (50+ Mbps) everywhere and with very high reliability. We term this service Ultra-Reliable Ubiquitous-Rate Communication (UR2C). This paper investigates the role of frequency reuse in supporting UR2C in the downlink. To this end, two frequency reuse schemes are considered: user-specific frequency reuse...
We consider regression testing of safety-critical systems consisting of black-box components. This scenario is common for automotive electronic systems where testing time is expensive and should be reduced without uncontrolled reduction of reliability. This requires a methodology to select test cases from a larger test suite for which a defined quality level of the resulting regression test cycle...
This short paper presents ongoing work towards the model-based evaluation of AFDX avionic networks. The required reliability of this type of network depends on timely packet delivery, which must be analyzed during design. We extend previous work by colored stochastic Petri net models of AFDX modules, which reduces several restrictions of the earlier Petri net models. Rare-event simulation for such...
Environmental crises and global warming, arising from fossil fuels, and the urgent need for electrical energy generation, have led the international community to make a greater use of renewable energy resources. Among renewable energy resources, wind units, due to their high efficiency, has attracted more attention. However, variable and unpredictable nature of wind speed, causes wind units to be...
This paper presents an approach for safety assessment in unmanned aerial system (UAS) operations that uses stochastic fast-time simulation and selected published ground impact fatality/casualty models to calculate fatality risk. The application of simulation allows a sensitivity analysis measuring how different aspects and phases of a UAS operation impact the risk calculations for each of the ground...
An important performance measure for stochastic networks is so-called “system reliability θ”, defined as the probability that the output meets demand for rework-networks with n workstations, which have positive defective rates and random capacities Xi following a discrete distribution. Many analytical results in computing θ of stochastic networks widely exist in more than 18 related publications,...
The intermittent nature of renewable energy sources challenges the power network reliability. However, these challenges can be alleviated by incorporating energy storage devices into the network. We develop a computational technique which can find the optimal storage placement in the network with stochastic power injections, subject to minimizing a reliability index: the probability of a line current...
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