scholarly journals Assessing the Dynamics and Control of Droplet- and Aerosol-Transmitted Influenza Using an Indoor Positioning System

2017 ◽  
Author(s):  
Timo Smieszek ◽  
Gianrocco Lazzari ◽  
Marcel Salathé
Keyword(s):  
Wireless Sensors ◽  
Public Spaces ◽  
Mitigation Strategies ◽  
Effective Control ◽  
Positioning System ◽  
Close Physical Proximity ◽  
Close Proximity ◽  
Dynamics And Control ◽  
And Control ◽  
Indoor Positioning System

ABSTRACTThere is increasing evidence that aerosol transmission is a major contributor to the spread of influenza. Despite this, virtually all studies assessing the dynamics and control of influenza assume that it is transmitted solely through direct contact and large droplets, requiring close physical proximity. Here, we use wireless sensors to measure simultaneously both the location and close proximity contacts in the population of a US high school. This dataset, highly resolved in space and time, allows us to model both droplet and aerosol transmission either in isolation or in combination. In particular, it allows us to computationally assess the effectiveness of overlooked mitigation strategies such as improved ventilation that are available in the case of aerosol transmission. While the effects of the type of transmission on disease outbreak dynamics appear to be weak, we find that good ventilation could be as effective in mitigating outbreaks as vaccinating the majority of the population. In simulations using empirical transmission levels observed in households, we find that bringing ventilation to recommended levels has the same mitigating effect as a vaccination coverage of 50% to 60%. Our results therefore suggest that improvements of ventilation in public spaces could be an important and easy-to-implement strategy supplementing vaccination efforts for effective control of influenza spread.

scholarly journals DL-IPS: Deep Learning Based Indoor Positioning System for Improved Accuracy

2019 ◽  
Vol 8 (4) ◽  
pp. 10797-10801
Keyword(s):  
Deep Learning ◽  
Low Cost ◽  
Signal Strength ◽  
Low Energy ◽  
Positioning System ◽  
Received Signal Strength Indicator ◽  
Indoor Tracking ◽  
And Control ◽  
Improved Accuracy ◽  
Indoor Positioning System

Indoor tracking has evolved with various methods and well known these days. There are diverse types of solutions that concentrate on exactness, low cost, and control utilization within the field. Particularly in recent years, Received Signal Strength Indicator based positioning estimation have been getting popular. Still, the accuracy are not adequate, and there's no correct way chosen to overcome this issue. In this paper, we propose a strategy that leverage Deep Learning and Wi-Fi/BLE (Bluetooth Low Energy) Fingerprinting strategy to produce superior precise accuracy.

Geometric Control of Quadrotor Attitude in Wind With Flow Sensing and Thrust Constraints

2017 ◽  
Author(s):  
William Craig ◽  
Derek A. Paley
Keyword(s):  
Exponential Stability ◽  
Global Exponential Stability ◽  
Initial Response ◽  
Geometric Control ◽  
Effective Control ◽  
System Control ◽  
Numerical Examples ◽  
Flow Sensing ◽  
Dynamics And Control ◽  
And Control

Quadrotor vehicles show great potential over a range of tasks, but effective control in windy environments continues to be a challenge. This paper develops a thrust-saturated controller on the Lie group SO (3) that uses flow sensing in order to reduce the effect of gusts on the vehicle. Designing the controller on SO (3) establishes almost-global exponential stability, and avoids the pitfalls of representing rigid-body kinematics using Euler angles. We prove that exponential stability is retained in the presence of thrust saturation. Aerodynamics are incorporated into the dynamics and control through a model of the blade-flapping phenomena experienced by rotorcraft. Numerical examples show that the system control remains effective despite thrust saturation, and that flow sensing improves both the initial response and steady-state error of the system in wind.

scholarly journals Modeling Peste des Petits Ruminants (PPR) Disease Propagation and Control Strategies Using Memoryless State Transitions

2017 ◽  
Vol 1 (2) ◽  
pp. 90 ◽  
Author(s):  
Michael D. Mitchell ◽  
Walter E. Beyeler ◽  
Patrick Finley ◽  
Melissa Finley DVM, PhD
Keyword(s):  
Empirical Data ◽  
Large Scale ◽  
Control Strategies ◽  
Mitigation Strategies ◽  
Sensitivity Analyses ◽  
Effective Control ◽  
State Transitions ◽  
Morbidity Rate ◽  
Peste Des Petits Ruminants ◽  
And Control

<p><em>Peste des Petits Ruminants (PPR) is an infectious disease affecting goats and sheep. PPR has a mortality rate of 80% and a morbidity rate of 100% in naïve herds. This disease is currently of concern to Afghani goat and sheep herders as conditions in Afghanistan are conducive to the disease becoming an epidemic. PPR is similar to Rinderpest, but is not as well studied. There is a lack of empirical data on how the disease spreads or effective large-scale mitigation strategies. We developed a herd-level, event-driven model of PPR, using memoryless state transitions, to study how the virus propagates through a herd, and to identify effective control strategies for disparate herd configurations and environments. This model allows us to perform Sensitivity Analyses (SA) on environmental and disease parameters for which we do not have empirical data and to simulate the effectiveness of various control strategies. We find that reducing the amount of time from the identification of PPR in a herd to the vaccination of the herd will radically reduce the number of deaths that result from PPR. The goal of this model is to give policy makers a tool to develop effective containment strategies for managing outbreaks of PPR.</em></p>

A Cellular Automata Model for Dynamics and Control of Cardiac Arrhythmias

2020 ◽  
Author(s):  
Danny Gallenberger ◽  
Min Xiong ◽  
Tony Z. Zhuang ◽  
Kai Sun ◽  
Elena G. Tolkacheva ◽  
...  
Keyword(s):  
Cellular Automata ◽  
Cardiac Arrhythmias ◽  
Control Method ◽  
Sudden Cardiac Arrest ◽  
Significant Proportion ◽  
The United States ◽  
Effective Control ◽  
Dynamics And Control ◽  
Ca Model ◽  
And Control

Abstract As a leading cause of death in 325,000 adults per year in the United States, a significant proportion of sudden cardiac arrest (SCA) result from arrhythmias. To better understand the onset of arrhythmias and its potential treatment with more rapid and effective control approaches, a two-dimensional 50 × 50 cellular automata (CA) model is used in this study to illustrate the propagation of electrical waves across its tissue, and a constant diastolic interval (DI) control mechanism is adopted to help stabilize and prevent cardiac arrhythmias. Simulations of various scenarios including normal conduction and spiral waves in the presence of scar, normal conduction and alternans under control conditions are shown. The results validate that the CA model and constant DI control method are very efficient and effective in the study of dynamics and control of cardiac arrhythmias.

scholarly journals Transient Thermal Systems: Dynamics and Control

2014 ◽  
Vol 136 (03) ◽  
pp. S4-S12
Author(s):  
Andrew Alleyne ◽  
Neera Jain
Keyword(s):  
Energy Conversion ◽  
Leadership Role ◽  
Effective Control ◽  
Systems Dynamics ◽  
Thermal Systems ◽  
Energy Domain ◽  
Dynamics And Control ◽  
Transient Thermal ◽  
And Control ◽  
Accuracy Speed

This is a study focused on the criticality of thermal systems in almost every domain of energy conversion. Thermal systems are critically important to nearly all domains of energy conversion, and controls are vital to extracting maximal efficiency from the overall system. Understanding the dynamics of transient thermal systems is the first step towards effective control design. While a great deal of understanding of steady-state performance of an overall system already exists, the combined performance of coupled and interconnected systems during transients is still not well described or understood. This becomes more important with increased system complexity or increased transient relevance. Continued improvement in control-oriented modeling will be very valuable in terms of accuracy, speed, etc. With energy as a crucial theme for a sustainable future, it is clear that the Mechanical Engineering community must play a key leadership role in achieving this potential, since the thermal energy domain is one with which we are most familiar.

scholarly journals Research in offshore transfer cargo operations; challenges, developments, and new frontiers

2012 ◽  
Vol 5 (10) ◽  
pp. 9
Author(s):  
Max Suell Dutra ◽  
Ivanovich Lache ◽  
Katrin Ellermann ◽  
Ricardo Ramírez Heredia
Keyword(s):  
Degrees Of Freedom ◽  
New Technologies ◽  
Fuzzy Controller ◽  
Nonlinear Behavior ◽  
Effective Control ◽  
Test Results ◽  
Economic Sectors ◽  
Point Of Interest ◽  
Dynamics And Control ◽  
And Control

Currently, offshore operations are considered activities with high impact on the economy, which standsin direct relation to the products of great importance and value for diverse economic sectors. Thus, itbecomes necessary to implement new technologies that make the manipulation of these products fasterand easier. In this work, the authors introduce the problem in offshore cargo transfer operations. Thisproblem involves different kinds of areas: logistics, dynamics, and control are some of them. The authorspresent an approach for the last two. In the dynamic problem is presented a study on the dynamics of asuspended load connected to a crane via a mechanism with two prismatic degrees of freedom. The studiesshow the complex large-amplitude motion of the load given the visibly nonlinear behavior of the ship.Therefore, the development of a fuzzy controller was necessary to decrease oscillations and position theload in one definitive point of interest. The work presents the test results, demonstrating that this typeof manipulator in combination with an effective control strategy allows for the reduction of oscillationsin offshore activities.

Sign in / Sign up

Export Citation Format

Share Document