다중혈관 관상동맥 환자에서 y-문합을 이용하여 양쪽 내흉동맥만을 사용한 우회술의 조기 성적

Deposits of clastic carbonate-dominated (calciclastic) sedimentary slope systems in the rock record have been identified mostly as linearly-consistent carbonate apron deposits, even though most ancient clastic carbonate slope deposits fit the submarine fan systems better. Calciclastic submarine fans are consequently rarely described and are poorly understood. Subsequently, very little is known especially in mud-dominated calciclastic submarine fan systems. Presented in this study are a sedimentological core and petrographic characterisation of samples from eleven boreholes from the Lower Carboniferous of Bowland Basin (Northwest England) that reveals a >250 m thick calciturbidite complex deposited in a calciclastic submarine fan setting. Seven facies are recognised from core and thin section characterisation and are grouped into three carbonate turbidite sequences. They include: 1) Calciturbidites, comprising mostly of highto low-density, wavy-laminated bioclast-rich facies; 2) low-density densite mudstones which are characterised by planar laminated and unlaminated muddominated facies; and 3) Calcidebrites which are muddy or hyper-concentrated debrisflow deposits occurring as poorly-sorted, chaotic, mud-supported floatstones. These

Phd by thesis

“Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告

https://www.cs.ox.ac.uk/people/bernardo.cuencagrau/publications/PelletDemo.pdf

Pellet: A practical OWL-DL reasoner

Data integration is the problem of combining data residing at different sources, and providing the user with a unified view of these data. The problem of designing data integration systems is important in current real world applications, and is characterized by a number of issues that are interesting from a theoretical point of view. This document presents on overview of the material to be presented in a tutorial on data integration. The tutorial is focused on some of the theoretical issues that are relevant for data integration. Special attention will be devoted to the following aspects: modeling a data integration application, processing queries in data integration, dealing with inconsistent data sources, and reasoning on queries.

/pdf/data-integration-a-theoretical-perspective-58aesjvhuk.pdf

Data integration: a theoretical perspective

The focus of this paper is the evaluation of the mono-static Radar Cross Section (RCS) of a commercial Drone (IRIS) through both simulation and measurements in the 1–4 GHz frequency range. In particular, for the simulations an approximate model of the drone geometry and its material complex permittivity was carried out by means of an electromagnetic CAD. Most importantly, measurements have been performed in an anechoic chamber equipped with a network analyzer and a horn antenna. The obtained results show RCS values between −18 dB and −1 dB in the 1–4 GHz frequency range. This preliminary analysis sets a solid ground for the selection of anti-drone radar carrier frequency when using both conventional and passive radars.

Evaluating the radar cross section of the commercial IRIS drone for anti-drone passive radar source selection

Several research eorts address the challenge of having users incrementally teach or demonstrate a task to a robot. We are interested in an autonomous robot that persists over time and the problem of teaching it an additional task. We believe that the assumption that a user would know all the tasks previously taught to the robot does not hold. We hence investigate the problem of recognizing when a user is teaching a task similar to one the robot already knows and performing task autocompletion. In this extended abstract, we briey discuss our approach, and report the results of an experiment run with human teachers.

/pdf/on-task-recognition-and-generalization-in-long-term-robot-4sy71h5kd6.pdf

On Task Recognition and Generalization in Long-Term Robot Teaching (Extended Abstract)

In this paper, we present an approach to develop a new type of questionnaire for evaluating customers’ perceptions in the upcoming Smart CIty RObotic Challenge (SciRoc). The approach consists of two steps. First, it relies on interviewing experts on Human-Robot Interaction (HRI) to understand which robot’s behaviours can potentially affect the users’ perceptions during a HRI task. Then, it leverages a user survey to filter out those robot’s behaviours that are not significantly relevant from the end user perspective. We concretely enacted our approach over a specific scenario developed in the context of SciRoc, which instructs a robot to take an elevator of a shopping mall asking support to the customers of the mall. The results of the survey have allowed us to derive a final list of 17 behaviours to be captured in the questionnaire, which has been finally developed relying on a 5-point Likert-scale.

Developing a Questionnaire to Evaluate Customers’ Perception in the Smart City Robotic Challenge

In this paper, we analyze work on mobile robotics with the goal of highlighting the uses of contextual knowledge aiming at a flexible and robust performance of the system. In particular, we analyze different robotic tasks, ranging from robot behavior to perception, and then propose to characterize "contextualization" as a design pattern. As a result, we argue that many different tasks indeed can exploit contextual information and, therefore, a single explicit representation of knowledge about context may lead to significant advantages both in the design and in the performance of mobile robots.

Daniele Nardi

Papers

Evaluating the radar cross section of the commercial IRIS drone for anti-drone passive radar source selection

On Task Recognition and Generalization in Long-Term Robot Teaching (Extended Abstract)

Developing a Questionnaire to Evaluate Customers’ Perception in the Smart City Robotic Challenge

Uses of Contextual Knowledge in Mobile Robots

Design and Implementation of Robotic Soccer Behaviors: a User Viewpoint