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Sophisticated cyber attacks by state-sponsored and criminal actors continue to plague government and industrial infrastructure. Intuitively, partitioning cyber systems into survivable, intrusion tolerant compartments is a good idea. This prevents witting and unwitting insiders from moving laterally and reaching back to their command and control (C2) servers. However, there is a lack of artifacts that...
Cyber-Physical Systems (CPS) are composed of computation, networking, and physical processes. Model-based design is a powerful technique to apply mathematical modeling in CPS design. A model of a physical system is the description of variations in some aspects and properties of the system such as motion, velocity, and pressure. The variations of physical quantities such as motion, velocity, and pressure...
The present work presents the design, construction and use of a discrete event simulator for student flow in academic study periods, as a tool to improve the allocation of resources and to make decisions for the reduction of student dropout rates and optimization of the career completion time.
The world has recently witnessed a great tendency towards rapid urban development. This has been accompanied by an increase in the population and a development in the uses of the land, which changes the reality of transport and increases its problems over time. The city of Mansour suffers from traffic jams in certain parts of its road network due to the increase in population and the shift in the...
Monitoring and assessing the energy efficiency of supercomputers and data centers is crucial in order to limit and reduce their energy consumption. Applications from the domain of High Performance Computing (HPC), such as MPI applications, account for a significant fraction of the overall energy consumed by HPC centers. Simulation is a popular approach for studying the behavior of these applications...
Simulation of the traffic flow is an effective approach to resolve the traffic congestion problem and expect to elucidate the traffic congestion mechanism. In this paper, we propose a traffic flow model based on the MLD (Mixed Logical Dynamical) system approach which regard the lane change and overtaking behavior. The research revealed that traffic jam spreads from driving lane to overtake lane.
Recently, in the field of building energy efficiency, many works focused on model based energy management services but developing models consistent with a measured reality is still an issue. Fine physical models with many parameters cannot be adjusted while non-physical models cannot extrapolate to situations never met in the training data. In this paper, pure data models will be implemented with...
Verifying attacks against cyber physical systems can be a costly and time-consuming process. By using a simulated environment, attacks can be verified quickly and accurately. By combining the simulation of a cyber physical system with a hybrid attack graph, the effects of a series of exploits can be accurately analysed. Furthermore, the use of a simulated environment to verify attacks may uncover...
Aiming at the issues of random delay and delay uncertainty in both the before channel and feedback channel for network control system, the root causes of random delay influence closed-loop control system by case is analysis, and the predictive control method based on neural network to solve the feasibility of existence network random delay in control system closed-loop control has provided. Simulation...
Model predictive control is a kind of control method based on parameter model. However, in the actual system, the parameters of the motor may deviate from the parameters in the model due to the influence of various objective factors, leading to deterioration of the control performance. In this paper, a strong parameters robustness model predictive current control (MPCC) method for permanent-magnet...
According to the status quo that China's cross-border e-commerce is expanding rapidly, we selected the total imports and exports of China's cross-border e-commerce from 2008 to 2015 with a view to make some predictions. Firstly, using Grey System Theory, we partly establish GM(1,1) model and DGM(1,1) model to forecast and analyze the next five years' total imports and exports of China's cross-border...
In this paper, the BGA solder joint is considered as the object of study. A fatigue life prediction model based on energy conservation law is constructed by reasonable assumptions. Energy-based life prediction model can avoid the analysis of various complex damage mechanisms in fatigue process, and only use energy as a measure. The mechanical response of BGA solder joint under temperature cycling...
A mesoscale modeling investigation of tropical cyclone/hurricane forecast over the Gulf of Mexico has been established under the NASA/HBCU Renewable Energy and Technology Project to adopt the numerical weather prediction model for possible use in regions where solar equipment will be used. Accurate and reliable forecasting is crucial in regions that have limited resources where renewable solar energy...
Nowadays, there appears to be sufficient evidence that a collective of uninformed individuals can outperform single individuals (even individual experts) in solving some difficult judgment and prediction problems. In some situations, the predictions given by collective members on the outcome of a future event can be modified (such as by updating or removing predictions) to reach a higher consistency...
Hardware failures in cloud data centers may cause substantial losses to cloud providers and cloud users. Therefore, the ability to accurately predict when failures occur is of paramount importance. In this paper, we present FailureSim, a simulator based on CloudSim that supports failure prediction. FailureSim obtains performance related information from the cloud and classifies the status of the hardware...
Caching at the small base station (SBS) is apromising architecture to alleviate the highly-loaded wireless video networks. SBS can cache popular video files, thus serves mobile users without going through backhaul connection to the core network and provides content- level offloading. This paper proposes a novel method for the content caching problem that optimizes cache performance. Our proposed algorithm...
Coping with emergency situations requires effective and prompt decision-making under constantly changing situations. The deployment of various kinds of sensors makes it possible to acquire vast amounts of information. At present, however, most information processing is not automated; therefore, the quality of decision-making depends heavily on the capacities of the decision maker. To solve this problem,...
The REliable CApacity Provisioning and enhanced remediation for distributed cloud applications (RECAP) project aims to advance cloud and edge computing technology, to develop mechanisms for reliable capacity provisioning, and to make application placement, infrastructure management, and capacity provisioning autonomous, predictable and optimized. This paper presents the RECAP vision for an integrated...
Natural gas dehydration is an important process in the gas processing. In this process, water vapor is removed from natural gas streams since it can cause some problems in the next process. Application of structured packing in separation processes like natural gas dehydration has been increased since last few years. In this work, a domestic natural gas dehydration unit using triethylene glycol (TEG)...
A novel short-term state forecasting-based optimal power flow (OPF) approach for distribution system voltage regulation is proposed in this paper. An extreme learning machine (ELM) based state forecaster is developed to accurately predict system states (voltage magnitudes and angles) in the near future. Based on the forecast system states, a dynamically weighted three-phase AC OPF problem is formulated...
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