Towards Automated Analysis of Urban Infrastructure after Natural Disasters using Remote Sensing

Natural disasters, such as earthquakes and hurricanes, are an unpreventable component of the complex and changing environment we live in. Continued research and advancement in disaster mitigation through prediction of and preparation for impacts have undoubtedly saved many lives and prevented significant amounts of damage, but it is inevitable that some events will cause destruction and loss of life due to their sheer magnitude and proximity to built-up areas. Consequently, development of effective and efficient disaster response methodologies is a research topic of great interest. A successful emergency response is dependent on a comprehensive understanding of the scenario at hand. It is crucial to assess the state of the infrastructure and transportation network, so that resources can be allocated efficiently. Obstructions to the roadways are one of the biggest inhibitors to effective emergency response. To this end, airborne and satellite remote sensing platforms have been used extensively to collect overhead imagery and other types of data in the event of a natural disaster. The ability of these platforms to rapidly probe large areas is ideal in a situation where a timely response could result in saving lives. Typically, imagery is delivered to emergency management officials who then visually inspect it to determine where roads are obstructed and buildings have collapsed. Manual interpretation of imagery is a slow process and is limited by the quality of the imagery and what the human eye can perceive. In order to overcome the time and resource limitations of manual interpretation, this dissertation inves- tigated the feasibility of performing fully automated post-disaster analysis of roadways and buildings using airborne remote sensing data. First, a novel algorithm for detecting roadway debris piles from airborne light detection and ranging (lidar) point clouds and estimating their volumes is presented. Next, a method for detecting roadway flooding in aerial imagery and estimating the depth of the water using digital elevation models (DEMs) is introduced. Finally, a technique for assessing building damage from airborne lidar point clouds is presented. All three methods are demonstrated using remotely sensed data that were collected in the wake of recent natural disasters. The research presented in this dissertation builds a case for the use of automatic, algorithmic analysis of road networks and buildings after a disaster. By reducing the latency between the disaster and the delivery of damage maps needed to make executive decisions about resource allocation and performing search and rescue missions, significant loss reductions could be achieved

Speeding up backpropagation of gradients through the Kalman filter via closed-form expressions

In this paper we provide novel closed-form expressions enabling differentiation of any scalar function of the Kalman filter's outputs with respect to all its tuning parameters and to the measurements. The approach differs from the previous well-known sensitivity equations in that it is based on a backward (matrix) gradient calculation, that leads to drastic reductions of the overall computational cost. It is our hope that practitioners seeking numerical efficiency and reliability will benefit from the concise and exact equations derived in this paper and the methods that build upon them. They may notably lead to speed-ups when interfacing a neural network with a Kalman filter.Comment: Submitte

The LLN On-demand Ad hoc Distance-vector Routing Protocol - Next Generation (LOADng)

This document describes the LLN Ad hoc On-Demand (LOAD) distance vector routing protocol - Next Generation, a reactive routing protocol intended for use in Low power Lossy Networks (LLN). The protocol is derived from AODV and extended for use in LLNs.Ce document décrit le protocole de routage "distance vector" LOAD - Next Generation (LLN Ad hoc On-Demand). Il s'agit d'un protocole réactif qui s'adresse aux réseaux á faible puissance et fort taux de perte (Low power and Lossy Networks, LLNs). Il est dérivé d'AODV et a été modifié de maniére à répondre aux besoin de tels réseaux

Techniques of cryogenic reactive ion etching in silicon for fabrication of sensors

Cryogenic etching of silicon, using an inductively coupled plasma reactive ion etcher (ICP-RIE), has extraordinary properties which can lead to unique structures difficult to achieve using other etching methods. In this work, the authors demonstrate the application of ICP-RIE techniques which capitalize on the cryogenic properties to create different sensors geometries: optical, electrical, magnetic, and mechanical. The three techniques demonstrated are (1) single step deep etches with controllable sidewall profiles. Demonstrating this, silicon pillars with over 70 µm depth and less than 250 nm sidewall roughness were etched using only 1.6 µm of photoresist for use as solar cells. (2) Using the cryogenic etch for thick metallization and liftoff with a thin photoresist mask. Demonstrating this second technique, a magnetic shim was created by deposition of 6.5 µm of iron into 20 µm deep etched trenches, using the remaining 1.5 µm photoresist etch mask as the liftoff mask. Using the same technique, 15 µm of copper was lifted off leaving a 20 µm deep plasma enhanced chemical vapor deposition silicon oxide coated, silicon channel with copper. (3) Use of a two step cryogenic etch for deep etching with reduced sidewall undercutting. This was demonstrated by fabrication of deep and anisotropic microelectromechanical systems structures; a mechanical resonator was etched 183 µm deep into silicon with less than 3 µm of undercutting. This work also describes the etch parameters and etch controls for each of these sensors

Training or Improvisation? Citizen journalists and their educational backgrounds-a comparative view

While citizen journalists hope to bring new impulses to mass media performance, it is often asked whether they are adequately trained for the production of “newsworthy” stories. This paper focuses on educational aspects of citizen journalism, which, to date, have largely been disregarded by empirical research. A comparative analytical design illustrates the different ways in which citizen journalists acquire and develop the skills that are necessary to undertake journalistic activities in the different journalism cultures throughout Europe. The authors carried out a multi-national analysis in six European countries (United Kingdom, Germany, Austria, Switzerland, Italy, and Poland). In each country, an extensive desk study helped to map the field of citizen journalism and highlight the most relevant examples. Semi-structured interviews with 54 practitioners in the field (representing different types of citizen journalism) made it possible to identify the alternative strategies that citizen journalists employ to prepare themselves for news production initiatives. The research demonstrates that the educational backgrounds of citizen journalists display differences as well as similarities—both within and across journalism cultures. While some of the actors in the field have a clear idea of what constitutes good journalism (and sometimes even aspire to work in a mainstream media organization), others seem to care little about journalistic standards and have only a vague idea about the identity of the profession. On the basis of these insights, the paper develops a typology of citizen journalists that takes into account both their education and their journalistic scope

Choice overload reduces neural signatures of choice set value in dorsal striatum and anterior cingulate cortex

Modern societies offer a large variety of choices, which is generally thought to be valuable. But having too much choice can be detrimental if the costs of choice outweigh its benefits due to ‘choice overload’. Current explanatory models of choice overload mainly derive from behavioural studies. A neuroscientific investigation could further inform these models by revealing the covert mental processes during decision-making. We explored choice overload using functional magnetic resonance imaging while subjects were either choosing from varying-sized choice sets or were browsing them. When choosing from sets of 6, 12 or 24 items, functional magnetic resonance imaging activity in the striatum and anterior cingulate cortex resembled an inverted U-shaped function of choice set size. Activity was highest for 12-item sets, which were perceived as having ‘the right amount’ of options and was lower for 6-item and 24-item sets, which were perceived as ‘too small’ and ‘too large’, respectively. Enhancing choice set value by adding a dominant option led to an overall increase of activity. When subjects were browsing, the decision costs were diminished and the inverted U-shaped activity patterns vanished. Activity in the striatum and anterior cingulate reflects choice set value and can serve as neural indicator of choice overload

Constraining Dust and Molecular Gas Properties in Lyα Blobs at z ~ 3

In order to constrain the bolometric luminosities, dust properties, and molecular gas content of giant Lyα nebulae, the so-called Lyα blobs, we have carried out a study of dust continuum and CO line emission in two well-studied representatives of this population at z ~ 3: an Lyα blob discovered by its strong Spitzer Multiband Infrared Photometer 24 μm detection (LABd05) and the Steidel blob 1 (SSA22-LAB01). We find that the spectral energy distribution of LABd05 is well described by an active-galactic-nucleus-starburst composite template with L_(FIR) = (4.0 ± 0.5) × 10^(12) L_☉, comparable to high-z submillimeter galaxies and ultraluminous infrared galaxies. New Large APEX Bolometer Camera 870 μm measurements rule out the reported Submillimeter Common-User Bolometer Array detection of the SSA22-LAB01 (S_(850 μm) = 16.8 mJy) at the >4σ level. Consistent with this, ultradeep Plateau de Bure Interferometer observations with ~2'' spatial resolution also fail to detect any 1.2 mm continuum source down to ≈0.45 mJy beam^(–1) (3σ). Combined with the existing (sub)millimeter observations in the literature, we conclude that the FIR luminosity of SSA22-LAB01 remains uncertain. No CO line is detected in either case down to integrated flux limits of S_νΔV ≾ 0.25-1.0 Jy km s^(–1), indicating a modest molecular gas reservoir, M(H_2) < (1-3) × 10^(10) M_☉. The non-detections exclude, with high significance (12σ), the previous tentative detection of a CO J = 4-3 line in the SSA22-LAB01. The increased sensitivity afforded by the Atacama Large Millimeter/submillimeter Array will be critical in studying molecular gas and dust in these interesting systems

The hidden circumgalactic medium

The cycling of baryons in and out of galaxies is what ultimately drives galaxy formation and evolution. The circumgalactic medium (CGM) represents the interface between the interstellar medium and the cosmic web, hence its properties are directly shaped by the baryon cycle. Although traditionally the CGM is thought to consist of warm and hot gas, recent breakthroughs are presenting a new scenario according to which an important fraction of its mass may reside in the cold atomic and molecular phase. This would represent fuel that is readily available for star formation, with crucial implications for feeding and feedback processes in galaxies. However, such cold CGM, especially in local galaxies where its projected size on sky is expected to be of several arcminutes, cannot be imaged by ALMA due to interferometric spatial scale filtering of large-scale structures. We show that the only way to probe the multiphase CGM including its coldest component is through a large (e.g. 50-m) single dish (sub-)mm telescope.Comment: Science white paper submitted to the Astro2020 Decadal Surve