The method for detecting network attacks based on the neuroimmune approach

The given paper proposes a procedure for detecting network attacks based on a hybrid model that combines deep learning methods and artificial immune systems and increases the efficiency of network traffic analysis. During the development process, the constituent components of a hybrid system for identifying network incidents have been specified with a preceding analysis of existing approaches to its construction. Conceptual architectures of the intrusion detection system have been proposed, functional simulation and data flow simulation for the system comprehensive description have been carried out. Theoretical analysis of the concepts selected for implementation of the development methods of network detection systems has been carried out and the procedures of their hybridization have been substantiated. A software package for comparative analysis of the neuroimmune approach with machine learning methods has been developed and tested.

Energy parameters of the vehicle electromagnetic shock absorber

The creation of an electromagnetic shock absorber system is necessary taking into account such parameters of the vehicle and operating conditions as the quality of the roadway, the grades, and the weight and size of the vehicle. A mathematical simulation model of the vehicle was developed to determine energy indicators in various road sections. The MATLAB Simulink programming environment was chosen to create the most practical and functional simulation model. A number of experiments were carried out using various parameters of the vehicle, types of roadways and driving cycles. Simulation results allow obtaining basic characteristics of electromagnetic damper of the selected vehicle, on the basis of which a linear electromagnetic damper shock absorber will be calculated. System energy efficiency was determined when using a vehicle on roads having a different road surface evenness index.

A Simulation-Based Planning Tool for Floating Storage and Regasification Units

The objective of this paper was to propose a functional simulation model for the operation of floating storage and regasification units (FSRUs) used for the import of liquefied natural gas (LNG). The physical operation of an FSRU is decomposed for each critical component of the LNG carrier (LNGC) and the FSRU, in order to construct a realistic model in Simulink. LNG mass balance equations are used to perform flow calculations from the tanks of an LNG carrier to the tanks of the FSRU and from there to shore. The simulation model produces results for cases, when multiple LNG carriers discharge cargoes during a monthly time horizon. This produces an accurate operational profile for the FSRU with information about the volume of LNG inside each of the cargo tanks of the FSRU, LNG cargo discharging and gas send-out rate. Potential practitioners may exploit the proposed planning tool to explore the feasibility of alternative operation scenarios for an FSRU terminal. The simulations can check the system sensitivity to different parameters and support schedule regarding: (i) slots for LNG carrier calls, (ii) LNG inventory fluctuation, and (iii) impact of gas demand and send-out rate changes.

AUTOMATED PRODUCT FUNCTIONALITY AND DESIGN OPTIMIZATION INSTANCING A PRODUCT-SERVICE SYSTEM

When using product-service systems as a business model, new product development challenges and opportunities arise. Due to the possibility of customizing the product fleet depending on the user-scenarios, more product variants are possible and often necessary. Therefore, this paper presents an approach for the automated functionality and design optimization for user scenario specific use cases. The approach combines an optimization framework with a functional simulation model and a generative design approach CAD model. This results in a robust and simultaneously flexible design environment.

Microleakage of Aesthetic Restorations Following Functional Simulation and Immersion in Saudi-Traditional Mouth Rinses

AIM: The study is aimed to assess the effect of 3 Saudi-traditional types of mouth rinses (Karadah, Myrrh, salted water) on the microleakage of composite and glass-ionomer restorations subjected to thermal cycling and cyclic loading. MATERIAL AND METHODS: Class V cavities in both buccal and lingual surfaces of eighty extracted premolars were restored with both nano-filled composite and glass-ionomer restoratives. Half the number of restored teeth (group 1, n = 40) were subjected to further thermal cycling and cyclic loading to mimic the in-service functional stresses. The rest of the teeth were left as control with no functional simulation (group 2, n = 40). Teeth of each group were then stored wet for one month in 4 subgroups (n = 10) according to the storage media (distilled water, salted water, Myrrh and Karadah extracts). Following wet ageing, all teeth were immersed in methylene blue solution for 24 hrs, followed by sectioning in Bucco-lingual direction. The microleakage was inspected using stereomicroscope and rated from 0-4 according to its penetration depth. The collected non-parametrical data was then analysed statistically using Kruskal-Wallis One-way ANOVA at α = 0.05. RESULTS: There was no statistically significant difference observed in microleakage between specimens treated with any of the mouthwashes for both glass ionomer and composite restorations in the presence and absence of thermal cycling and cyclic loading (p = 0.889). CONCLUSION: Given the results of the present study, the Saudi-traditional types of mouth rinses are not contributory to microleakage in aesthetic-based composite and glass-ionomer restorations.

Improve performance of the digital sinusoidal generator in FPGA by memory usage optimization

<p>This paper presented the improvement in the performance of the digital sinusoidal signal generator, which was implemented in FPGA, by optimizing the usage of the available memory onboard. The sine wave was generated by using a Lookup Table method, where its pre-calculated values were stored in the onboard memory, and its frequency can be adjustable by changing the incremental step value of the memory address. In this proposed research, the memory stores only 25000 samples of the first quarter from a period of a sine wave and thus, the output signal accuracy was increased and the output frequency range was expanded, compared to the previous research. The proposed design was successfully developed and implemented in ALTERA Cyclone III DE0 FPGA Development Board, and its functionality was validated via functional simulation in Modelsim and also hardware experimental results observation in SignalTap II.</p>