A Standard-based Framework for Real-time 3D Large-scale Geospatial Data Generation and Visualisation over the Web

User tracking has become ubiquitous practice on the Web, allowing services to recommend behaviorally targeted content to users. In this article, we design Alibi, a system that utilizes such readily available personalized content, generated by recommendation engines in real time, as a means to tame Sybil attacks. In particular, by using ads and other tracker-generated recommendations as implicit user “certificates,” Alibi is capable of creating meta-profiles that allow for rapid and inexpensive validation of users’ uniqueness, thereby enabling an Internet-wide Sybil defense service. We demonstrate the feasibility of such a system, exploring the aggregate behavior of recommendation engines on the Web and demonstrating the richness of the meta-profile space defined by such inputs. We further explore the fundamental properties of such meta-profiles, i.e., their construction, uniqueness, persistence, and resilience to attacks. By conducting a user study, we show that the user meta-profiles are robust and show important scaling effects. We demonstrate that utilizing even a moderate number of popular Web sites empowers Alibi to tame large-scale Sybil attacks.

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Methods for the Quantification of Salivary Cortisol and of a-amylase in Biosensors and Portable Devices

Revista de Chimie ◽

10.37358/rc.17.12.5994 ◽

2018 ◽

Vol 68 (12) ◽

pp. 2857-2859

Author(s):

Cristina Mihaela Ghiciuc ◽

Andreea Silvana Szalontay ◽

Luminita Radulescu ◽

Sebastian Cozma ◽

Catalina Elena Lupusoru ◽

...

Keyword(s):

Real Time ◽

Medical Practice ◽

Salivary Cortisol ◽

Clinical Studies ◽

Large Scale ◽

Psychological Research ◽

Portable Devices ◽

Salivary Amylase ◽

Specificity And Sensitivity

There is an increasing interest in the analysis of salivary biomarkers for medical practice. The objective of this article was to identify the specificity and sensitivity of quantification methods used in biosensors or portable devices for the determination of salivary cortisol and salivary a-amylase. There are no biosensors and portable devices for salivary amylase and cortisol that are used on a large scale in clinical studies. These devices would be useful in assessing more real-time psychological research in the future.

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A Model-Based Real-Time Intrusion Detection System for Large Scale Heterogeneous Networks

10.21236/ada420824 ◽

2003 ◽

Cited By ~ 1

Author(s):

Richard A. Kemmer ◽

Giovanni Vigna

Keyword(s):

Intrusion Detection ◽

Real Time ◽

Heterogeneous Networks ◽

Intrusion Detection System ◽

Large Scale ◽

Detection System ◽

Model Based

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Mapping global water projects: improving access to donor investment information on the web

Water Policy ◽

10.2166/wp.2003.0012 ◽

2003 ◽

Vol 5 (3) ◽

pp. 203-212

Author(s):

J. Lisa Jorgensona

Keyword(s):

Water Resources ◽

Web Sites ◽

Large Scale ◽

Technical Assistance ◽

Water Withdrawal ◽

Small Scale ◽

Water Projects ◽

Essential Information ◽

Water Project ◽

The Web

This paper discusses a series of discusses how web sites now report international water project information, and maps the combined donor investment in more than 6000 water projects, active since 1995. The maps show donor investment: • has addressed water scarcity, • has improved access to improvised water resources, • correlates with growth in GDP, • appears to show a correlation with growth in net private capital flow, • does NOT appear to correlate with growth in GNI. Evaluation indicates problems in the combined water project portfolios for major donor organizations: •difficulties in grouping projects over differing Sector classifications, food security, or agriculture/irrigation is the most difficult. • inability to map donor projects at the country or river basin level because 60% of the donor projects include no location data (town, province, watershed) in the title or abstracts available on the web sites. • no means to identify donor projects with utilization of water resources from training or technical assistance. • no information of the source of water (river, aquifer, rainwater catchment). • an identifiable quantity of water (withdrawal amounts, or increased water efficiency) is not provided. • differentiation between large scale verses small scale projects. Recommendation: Major donors need to look at how the web harvests and combines their information, and look at ways to agree on a standard template for project titles to include more essential information. The Japanese (JICA) and the Asian Development Bank provide good models.

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BattleNet: Capturing Advantageous Battlefield in RTS Games (Student Abstract)

Proceedings of the AAAI Conference on Artificial Intelligence ◽

10.1609/aaai.v34i10.7197 ◽

2020 ◽

Vol 34 (10) ◽

pp. 13849-13850

Author(s):

Donghyeon Lee ◽

Man-Je Kim ◽

Chang Wook Ahn

Keyword(s):

Artificial Intelligence ◽

Decision Making ◽

Real Time ◽

Large Scale ◽

Outcome Predictor ◽

Short Term ◽

Rts Game

In a real-time strategy (RTS) game, StarCraft II, players need to know the consequences before making a decision in combat. We propose a combat outcome predictor which utilizes terrain information as well as squad information. For training the model, we generated a StarCraft II combat dataset by simulating diverse and large-scale combat situations. The overall accuracy of our model was 89.7%. Our predictor can be integrated into the artificial intelligence agent for RTS games as a short-term decision-making module.

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Impacts of real-time information levels in public transport: A large-scale case study using an adaptive passenger path choice model

Transportation Research Part A Policy and Practice ◽

10.1016/j.tra.2021.03.011 ◽

2021 ◽

Vol 148 ◽

pp. 155-182

Author(s):

Mads Paulsen ◽

Thomas Kjær Rasmussen ◽

Otto Anker Nielsen

Keyword(s):

Real Time ◽

Public Transport ◽

Large Scale ◽

Choice Model ◽

Real Time Information ◽

Time Information

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Modeling Fused Filament Fabrication using Artificial Neural Networks

Production Engineering ◽

10.1007/s11740-021-01020-y ◽

2021 ◽

Author(s):

Paul Oehlmann ◽

Paul Osswald ◽

Juan Camilo Blanco ◽

Martin Friedrich ◽

Dominik Rietzel ◽

...

Keyword(s):

Real Time ◽

Large Scale ◽

Cost Effective ◽

Print Quality ◽

Ann Model ◽

Production Environment ◽

Fused Filament Fabrication ◽

Artificial Neural ◽

Using Data ◽

Artificial Neural Network Ann

AbstractWith industries pushing towards digitalized production, adaption to expectations and increasing requirements for modern applications, has brought additive manufacturing (AM) to the forefront of Industry 4.0. In fact, AM is a main accelerator for digital production with its possibilities in structural design, such as topology optimization, production flexibility, customization, product development, to name a few. Fused Filament Fabrication (FFF) is a widespread and practical tool for rapid prototyping that also demonstrates the importance of AM technologies through its accessibility to the general public by creating cost effective desktop solutions. An increasing integration of systems in an intelligent production environment also enables the generation of large-scale data to be used for process monitoring and process control. Deep learning as a form of artificial intelligence (AI) and more specifically, a method of machine learning (ML) is ideal for handling big data. This study uses a trained artificial neural network (ANN) model as a digital shadow to predict the force within the nozzle of an FFF printer using filament speed and nozzle temperatures as input data. After the ANN model was tested using data from a theoretical model it was implemented to predict the behavior using real-time printer data. For this purpose, an FFF printer was equipped with sensors that collect real time printer data during the printing process. The ANN model reflected the kinematics of melting and flow predicted by models currently available for various speeds of printing. The model allows for a deeper understanding of the influencing process parameters which ultimately results in the determination of the optimum combination of process speed and print quality.

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