One-Dimensional Hydrodynamic Flow in Complex Networks: State of the Art, Some Applications and Generalizations

The state-of-the-art of surface water impoundment modeling is examined from the viewpoints of both hydrodynamics and water quality. In the area of hydrodynamics current one dimensional integral energy and two dimensional models are discussed. In the area of water quality, the formulations used for various parameters are presented with a range of values for the associated rate coefficients.

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Spreading predictability in complex networks

Scientific Reports ◽

10.1038/s41598-021-93611-z ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Na Zhao ◽

Jian Wang ◽

Yong Yu ◽

Jun-Yan Zhao ◽

Duan-Bing Chen

Keyword(s):

Infectious Diseases ◽

Prediction Model ◽

Complex Networks ◽

State Of The Art ◽

Experimental Results ◽

Vaccination Strategies ◽

Macro Scale ◽

Good Consistency ◽

The Future ◽

Rumor Control

AbstractMany state-of-the-art researches focus on predicting infection scale or threshold in infectious diseases or rumor and give the vaccination strategies correspondingly. In these works, most of them assume that the infection probability and initially infected individuals are known at the very beginning. Generally, infectious diseases or rumor has been spreading for some time when it is noticed. How to predict which individuals will be infected in the future only by knowing the current snapshot becomes a key issue in infectious diseases or rumor control. In this report, a prediction model based on snapshot is presented to predict the potentially infected individuals in the future, not just the macro scale of infection. Experimental results on synthetic and real networks demonstrate that the infected individuals predicted by the model have good consistency with the actual infected ones based on simulations.

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Efficiency Optimized Pneumatic Pressure Booster

ASME/BATH 2019 Symposium on Fluid Power and Motion Control ◽

10.1115/fpmc2019-1675 ◽

2019 ◽

Author(s):

Olivier Reinertz ◽

Katharina Schmitz

Keyword(s):

Load Distribution ◽

State Of The Art ◽

Analytical Description ◽

The Novel ◽

One Dimensional ◽

Pneumatic Pressure ◽

Novel Device ◽

Working Cycle ◽

Promising Solution ◽

Dimensional Simulation

Abstract In the scope of this paper, a novel efficiency optimized supply pressure adaptive concept of pneumatic pressure boosters is presented. It is deduced from a profound analysis of state of the art components. The working cycle of the pump chambers can be divided into a filling, compression, pumping and decompression phase. A promising solution for efficiency improvements, which is further analyzed in the scope of this paper, is to adapt the required force of the compression chambers by nonlinear mechanics. Thus, a smaller force at the end of the stroke is required and a reduced air consumption of the driving chamber occurs. As the force demand of the compression chamber and therewith the load distribution over the stroke changes with the operational pressures, an adaptive concept needs to be implemented. The novel device and its parameterization are deduced by means of an analytical description of state of the art pressure boosters. Subsequently, it is investigated by one-dimensional simulation in DSHplus. The results show broad applicability of the method in relevant applications and huge energy saving potentials compared to state of the art products.

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Evaluating the effects of microphysical complexity in idealised simulations of trade wind cumulus using the Factorial Method

Atmospheric Chemistry and Physics Discussions ◽

10.5194/acpd-10-23497-2010 ◽

2010 ◽

Vol 10 (10) ◽

pp. 23497-23537 ◽

Cited By ~ 1

Author(s):

C. Dearden ◽

P. J. Connolly ◽

T. W. Choularton ◽

P. R. Field

Keyword(s):

State Of The Art ◽

Model Development ◽

Cloud Base ◽

Trade Wind ◽

One Dimensional ◽

Surface Precipitation ◽

Factorial Method ◽

Modelling Framework ◽

Development Tool ◽

The Impact

Abstract. The effect of microphysical and environmental factors on the development of precipitation in warm idealised clouds are explored using an idealised process modelling framework. A simple one-dimensional column model is used to drive a suite of microphysics schemes including a flexible multi-moment bulk scheme (including both single and dual moment liquid water) and a state-of-the-art bin-resolved scheme with explicit treatments of liquid and aerosol. The Factorial Method is employed to quantify and compare the sensitivities of each scheme under a set of controlled conditions, in order to isolate the effect of additional microphysical complexity in terms of the impact on surface precipitation. For the schemes considered, and in the absence of entrainment, surface precipitation totals were found to depend increasingly on the meteorological conditions as the level of microphysical complexity is increased. The dual-moment liquid bulk scheme was shown to provide the best agreement with the bin scheme when the cloud base updraught speeds are relatively weak. At higher updraughts, all schemes show that the sensitivity to the magnitude of vertical velocity reduces dramatically, and any subsequent change in precipitation is governed almost entirely by the change in aerosol concentration. However the effect of changes in temperature were found to be underestimated in the bulk schemes compared to the bin scheme; this can be accounted for through differences in the depletion of rain below cloud base by evaporation. Collectively, these results demonstrate the usefulness of the Factorial Method as a model development tool for quantitatively comparing and contrasting the behaviour of microphysics schemes of differing levels of complexity within a specified parameter space.

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Continuous Verification of Network Security Compliance

10.36227/techrxiv.15029811.v1 ◽

2021 ◽

Author(s):

Claas Lorenz ◽

Vera Clemens ◽

Max Schrötter ◽

Bettina Schnor

Keyword(s):

Network Security ◽

Complex Networks ◽

Formal Methods ◽

Formal Language ◽

State Of The Art ◽

Rule Sets ◽

Compliance Verification ◽

Security Compliance ◽

High Level

Continuous verification of network security compliance is an accepted need. Especially, the analysis of stateful packet filters plays a central role for network security in practice. But the few existing tools which support the analysis of stateful packet filters show runtimes in the order of minutes to hours making them unsuitable for continuous compliance verification.<br>In this work, we address these challenges and present a solution which is based on the application of formal methods. First, we introduce the formal language FPL that enables a high-level human-understandable specification of the desired state of network security. Second, we demonstrate the instantiation of a compliance process using a verification framework that analyzes the configuration of complex networks and devices - including stateful firewalls - for compliance with FPL policies. Our evaluation results show the scalability of the presented approach for the well known Internet2 and Stanford benchmarks as well as for large firewall rule sets where it outscales state-of-the-art tools by a factor of over 41.

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Review of Oedometer Method for Predicting Heave on the Expansive Soil

International Journal of Sustainable Construction Engineering Technology ◽

10.30880/ijscet.2020.11.02.005 ◽

2020 ◽

Vol 11 (2) ◽

Author(s):

Willis Diana ◽

◽

Agus Setyo Muntohar ◽

Anita Widianti ◽

◽

...

Keyword(s):

State Of The Art ◽

Expansive Soil ◽

Swelling Pressure ◽

Foundation Design ◽

Swelling Properties ◽

One Dimensional ◽

Testing Procedures ◽

Frequent Use ◽

The One ◽

Heave Prediction

In foundation design on an expansive soil, the most critical step is to quantify accurately the magnitude of heave and swelling pressure due to change in moisture content. The one-dimensional oedometer has been widely accepted method to determine the heave and swelling pressure of expansive soil. Its simplicity, suitability, and the availability were the reasons for the frequent use of oedometer swell testing technique, but many procedures were identified to measure the swelling properties. Each testing procedures were not unique and resulted different swelling properties and heave prediction. Then, this paper provides an overview of various existing heave prediction by oedometer methods and evaluate common practices of this methods. The techniques were reviewed systematically and summarized. The study summarized a state-of-the-art heave prediction based on the oedometer methods. Various equations forms to predict heave based on the oedometer method have been presented, but the fundamental principles were the same to propose the equation of heave prediction. The differences in these methods were related to the procedures in which the heave index parameter were determined. The three main procedures of oedometer test, i.e. consolidation swell (CS), constant volume CV, and swell overburden (SO), have been summarized. Most of the heave prediction uses the parameter from CS and CV methods. Several reports have shown that the closest estimates of field heave were predicted based on CV method.

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Novel Memory Efficient Hardware Architecture for 5/3 Lifting-Based 2D Inverse DWT

Journal of Circuits System and Computers ◽

10.1142/s0218126619501184 ◽

2019 ◽

Vol 28 (07) ◽

pp. 1950118 ◽

Cited By ~ 2

Author(s):

Goran Savić ◽

Vladimir Rajović

Keyword(s):

State Of The Art ◽

Computing Time ◽

Hardware Architecture ◽

Discrete Wavelet ◽

Jpeg 2000 ◽

One Dimensional ◽

Reversible Transformation ◽

Memory Size ◽

Multiple Levels ◽

Memory Efficient

This paper presents a novel memory efficient hardware architecture for 5/3 lifting-based two-dimensional (2D) inverse discrete wavelet transform (IDWT). The proposed architecture processes multiple levels of composition simultaneously using only one one-dimensional (1D) 5/3 lifting-based inverse vertical filter and only one 1D 5/3 lifting-based inverse horizontal filter. In case of [Formula: see text] levels of composition for [Formula: see text] image, the proposed 5/3 2D IDWT architecture requires the total memory of size less than [Formula: see text], which is lower memory size than memory size required in any other previously published architecture. In terms of total number of adders, total number of multipliers (shifters), total computing time and output latency, presented solution is comparable with other state-of-the-art solutions. Proposed hardware architecture is suitable for implementation in JPEG 2000 decoder, since default inverse filter for reversible transformation in JPEG 2000 standard is 5/3 IDWT filter.

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Finding Missing Links in Complex Networks: A Multiple-Attribute Decision-Making Method

Complexity ◽

10.1155/2018/3579758 ◽

2018 ◽

Vol 2018 ◽

pp. 1-16 ◽

Cited By ~ 3

Author(s):

Longjie Li ◽

Shenshen Bai ◽

Mingwei Leng ◽

Lu Wang ◽

Xiaoyun Chen

Keyword(s):

Decision Making ◽

Complex Networks ◽

Similarity Measure ◽

Real World ◽

Link Prediction ◽

State Of The Art ◽

Multiple Attribute Decision Making ◽

Ideal Solution ◽

Multiple Attribute ◽

Novel Method

Link prediction, which aims to forecast potential or missing links in a complex network based on currently observed information, has drawn growing attention from researchers. To date, a host of similarity-based methods have been put forward. Usually, one method harbors the idea that one similarity measure is applicable to various networks, and thus has performance fluctuation on different networks. In this paper, we propose a novel method to solve this issue by regarding link prediction as a multiple-attribute decision-making (MADM) problem. In the proposed method, we consider RA, LP, and CAR indices as the multiattribute for node pairs. The technique for order performance by similarity to ideal solution (TOPSIS) is adopted to aggregate the multiattribute and rank node pairs. The proposed method is not limited to only one similarity measure, but takes separate measures into account, since different networks may have different topological structures. Experimental results on 10 real-world networks manifest that the proposed method is superior in comparison to state-of-the-art methods.

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Fully Superconducting Josephson Bolometers for Gigahertz Astronomy

Applied Sciences ◽

10.3390/app11020746 ◽

2021 ◽

Vol 11 (2) ◽

pp. 746

Author(s):

Federico Paolucci ◽

Nadia Ligato ◽

Gaia Germanese ◽

Vittorio Buccheri ◽

Francesco Giazotto

Keyword(s):

Background Radiation ◽

State Of The Art ◽

Transition Edge Sensor ◽

Thermal Characterization ◽

Device Fabrication ◽

Experimental Realization ◽

One Dimensional ◽

Transition Edge ◽

Tunable Sensors ◽

The Universe

The origin and the evolution of the universe are concealed in the evanescent diffuse extragalactic background radiation (DEBRA). To reveal these signals, the development of innovative ultra-sensitive bolometers operating in the gigahertz band is required. Here, we review the design and experimental realization of two bias-current-tunable sensors based on one dimensional fully superconducting Josephson junctions: the nanoscale transition edge sensor (nano-TES) and the Josephson escape sensor (JES). In particular, we cover the theoretical basis of the sensors operation, the device fabrication, their experimental electronic and thermal characterization and the deduced detection performance. Indeed, the nano-TES promises a state-of-the-art noise equivalent power (NEP) of about 5×10−20 W/Hz, while the JES active region is expected to show an unprecedented NEP of the order of 10−25 W/Hz. Therefore, the nano-TES and JES are strong candidates to push radio astronomy to the next level.

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