41 research outputs found
Large and dense swarms: Simulation of a shortest path alarm propagation
No full textThis paper deals with the transmission of alarm messages in large and dense underwater swarms of Autonomous Underwater Vehicles (AUVs) and describes the verification process of the derived algorithm results by means of two simulation tools realized by the authors. A collision-free communication protocol has been developed, tailored to a case where a single AUV needs to send a message to a specific subset of swarm members regarding a perceived danger. The protocol includes a handshaking procedure that creates a silence region before the transmission of the message obtained through specific acoustic tones out of the normal transmission frequencies or through optical signals. This region will include all members of the swarm involved in the alarm message and their neighbours, preventing collisions between them. The AUV sending messages to a target area computes a delay function on appropriate arcs and runs a Dijkstra-like algorithm obtaining a multicast tree. After an explanation of the whole building of this collision-free multicast tree, a simulation has been carried out assuming different scenarios relevant to swarm density, signal power of the modem and the geometrical configuration of the nodes. © 2015 Author(s). Licensee InTech
Polar Stratospheric Cloud Observations at Concordia Station by Remotely Controlled Lidar Observatory
No full textPolar stratospheric clouds (PSCs) form in polar regions, typically between 15 and 25 km above mean sea level, when the local temperature is sufficiently low. PSCs play an important role in the ozone chemistry and the dehydration and denitrification of the stratosphere. Lidars with a depolarization channel may be used to detect and classify different classes of PSCs. The main PSC classes are water ice, nitric acid trihydrate (NAT), and supercooled ternary solutions (STSs), the latter being liquid droplets consisting of water, nitric acid, and sulfuric acid. PSCs have been observed at the lidar observatory at Concordia Station from 2014 onward. The harsh environmental conditions at Concordia during winter render successful lidar operation difficult. To facilitate the operation of the observatory, several measures have been put in place to achieve an almost complete remote control of the system. PSC occurrence is strongly correlated with local temperatures and is affected by dynamics, as the PSC coverage during the observation season shows. PSC observations in 2021 are shown as an example of the capability and functionality of the lidar observatory. A comparison of the observations with the satellite-borne CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization) lidar has been made to demonstrate the quality of the data and their representativeness for the Antarctic Plateau
High resolution Fourier-transform infrared spectroscopy of CHCl2F in supersonic jets: Analysis of ν3, ν7, and ν8
No full text
Mode selective tunneling dynamics observed by high resolution spectroscopy of the bending fundamentals of N14H2D and N14D2H
No full textDesign of a model for assessing accountability in a robotic process automation implementation
No full textArtificial intelligence is getting more and more advanced. In the future, robots equipped with AI will behave an act similarly as humans do, and this raises concerns about how they are going to be governed. However, scientists are alerting that not enough attention is paid to AI from a sociotechnical point of view. Intelligent systems can already behave in unexpected ways, make unfair decisions or treat data with bias. The consequences of this behaviour can directly harm humans, and researchers agree that much more research should be done. One of the applications of AI is combining it with Robotic Automation Solutions. RAS is a form of business process automation that combines both AI and software robots. The simplest application of RAS is known as Robotic Process Automation. More complex RAS solutions are not yet mature enough to be implemented widely. However, research shows that they may be mainstream in less than five years. This research will focus on RPA to be prepared for the more advanced solutions in the future. Because of the newness of RPA and the multiple challenges currently not solved, it has been neglected the need to have a proper scientific methodology to model an RPA implementation. The objective of this thesis is to develop a model that allows to analyse the roles involved in an implementation of an RPA project and to assess the accountability of the roles involved. The model is formed of four main phases. (1) requirements and analysis, (2) development, (3) testing and (4) deployment and governance. Each of these phases comprises different activities. The activities always have two roles assigned; a requestor and an executor. These roles have also been identified, and their responsibilities explained. Special attention has been paid to the accountability relationship between both roles in each activity. The research also covers a discussion of the types of accountability seen in the case studies. Finally, the research also contributes to the views on how RPA would change with the increase and improvement of AI technologies. An analysis on how the model would change if AI becomes very advanced is introduced. The practical contribution of the research has been (i) the creation of an IT artefact to assist and facilitate the implementation of RPA projects by detecting the activities and roles required, (ii) a methodology to identify and assess accountability relationships depending on the characteristics of the roles and activities involved and (iii) a discussion on how AI may evolve in the future and, more specifically, how the IT artefact will have to be modified to cope with it. The theoretical contributions have been (i) the implementation of the Action-Based Design methodology to create a model, (ii) an increase of the existing literature and knowledge about RPA and (iii) the use of the Action Design Research methodology instead of a more conventional Design Science Research approach. Management of Technology (MoT
Temperature dependence of collisional induced absorption (CIA) bands of CO2 with implications for Venus’ atmosphere
No full textThe intensity and temperature dependence of four CO2 collision induced absorption (CIA) bands in two spectral regions, 1100-1600 cm-1 and 2500-3200 cm-1 have been investigated. The measurements have been performed with a Fourier Transform InfraRed (FT-IR) spectrometer operating in a wide spectral range, from 350 to 25000 cm-1 (0.4 to 28.5 μm) with a spectral resolution of 2 cm-1 , interfaced with a high pressure-high temperature (HP-HT) absorption cell with an optical path of about 2 cm. While the integrated band intensity of allowed bands shows a linear dependence versus density, the collision-induced integrated band intensity increases quadratically with the density, due to the absorption by pairs of molecules, which allows identifying the CIA bands unambiguously. While below 300 K the binary integrated absorption coefficients exhibit a pronounced temperature dependence due to the presence of dimers, a much weaker temperature dependence has been found above 300 K. The results are important for the radiative transfer calculations of Venus' atmosphere. The integrated band intensities of the studied bands have been calculated for Venus' atmosphere from 40 km down to the surface by extrapolating the binary integrated absorption coefficients to the relevant temperatures
