926 resultados para Rescue operations
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This paper describes the development and testing of a robotic capsule for search and rescue operations at sea. This capsule is able to operate autonomously or remotely controlled, is transported and deployed by a larger USV into a determined disaster area and is used to carry a life raft and inflate it close to survivors in large-scale maritime disasters. The ultimate goal of this development is to endow search and rescue teams with tools that extend their operational capability in scenarios with adverse atmospheric or maritime conditions.
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This paper presents the design of low cost, small autonomous surface vehicle for missions in the coastal waters and specifically for the challenging surf zone. The main objective of the vehicle design described in this paper is to address both the capability of operation at sea in relative challenging conditions and maintain a very low set of operational requirements (ease of deployment). This vehicle provides a first step towards being able to perform general purpose missions (such as data gathering or patrolling) and to at least in a relatively short distances to be able to be used in rescue operations (with very low handling requirements) such as carrying support to humans on the water. The USV is based on a commercially available fiber glass hull, it uses a directional waterjet powered by an electrical brushless motor for propulsion, thus without any protruding propeller reducing danger in rescue operations. Its small dimensions (1.5 m length) and weight allow versatility and ease of deployment. The vehicle design is described in this paper both from a hardware and software point of view. A characterization of the vehicle in terms of energy consumption and performance is provided both from test tank and operational scenario tests. An example application in search and rescue is also presented and discussed with the integration of this vehicle in the European ICARUS (7th framework) research project addressing the development and integration of robotic tools for large scale search and rescue operations.
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Mode of access: Internet.
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The memoirs were written in 1999. Childhood memories in a small town in Lower Austria. Passion for playing football (soccer). Recollections of daily life with rituals of coffeehouse visits and family dinners in the countryside. First experiences of antisemitism in the mid 1930s. Rising Nazi movement and illegal meetings in the local community. Annexation of Austria in 1938. First encounters with anti-Jewish regulations and discrimination by neighbors and acquaintances. Walter experienced severe difficulties at school and was frequently insulted and beaten up. Decision to leave school. The family was forced to leave Eggenburg soon thereafter, and the town declared itself "Judenfrei" (free of Jews). Move to Vienna, where they stayed with relatives. Walter, who had been brought up as a Catholic, suddenly saw himself confronted with orthodox Jewish people of different customs. Increasing restrictions for Jews. Walter was enrolled in a program at the Vienna Jewish community to learn carpentry. Recollections of the terror of Kristallnacht. Walter and his brother Ludwig were signed up for a children transport to England by the Quaker organization and left Vienna in December 1938. Difficult feeling to depart from their parents. Arrival in Harwige. They were taken to a camp in Lowestoft. Cultural differences. Walter and his brother were sent to a training farm in Parbold. Simple living conditions and difficult circumstances. Farm work and school lessons. Outbreak of the war. Scarce news of their parents, who tried to leave for Argentina. Walter's older brother Ludwig was sent to an internment camp in Adelaide, Australia. After two years he volunteered in the Pioneer Corps and returned to England. In 1941 their parents finally managed to emigrate to Argentina. Walter decided to join them, and in 1943 he left for Buenos Aires. During the passage on the Atlantic the ship was sunk by a German submarine. Rescue by the US Army. Continuation of his trip via New York.
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The memoirs contain photocopies of documents and photos as well as extracts from letters and were written in October 1989 in the United States. Description of life in Baden, a famous health resort near Vienna. The family lived in Vienna in the second district (Leopoldstadt). Recollections of schoolteachers and childhood friends. Occasional Friday night services in the Leopoldstadt temple. Theater and opera visits and cultural life in Vienna. Private piano and music lessons. Description of the family apartment and Jewish life in the Leopoldstadt. The family celebrated Christmas and observed the high Jewish holidays. Recollections of the author's bar mitzvah celebration. His mother Charlotte, nee Schwadron, was an artistic woman, who studied painting at the Frauenakademie with Tina Blau. Walter's father Leo Schaffir was born in Byalistock, Russia and studied in Berlin. He was a travelling businessmen. His family lived in Lemberg, Galicia. Leo and Charlotte Schaffir got married in 1919 in Vienna by rabbi Dr. Grunwald. Recollections of a family trip to Poland and to the World Fair in Posen in 1930. Suicide of the author's father due to business failure in 1930. Schaffir and Schwadron family history. Both families originated in Galicia, Poland. Family and social life. Summer vacation at the Semmering. Austrian politics in the 1930's and rising National Socialism. Life in Vienna after the "Anschluss" in 1938. Walter had to leave school and took lessons in graphic arts with the artist Heinrich Koerner. Preparations to emigrate. Walter was picked up in the streets in the days after Kristallnacht and released due to his mother's intervention. He was sent with his brother Kurt on a "Kindertransport" to Holland. They were sent to a quarantine camp at Heyplaat. Reunition with their mother in the United States in December 1939. Reflections on life as an emigre.
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The manuscript contains letters written by Samuel Kahn to his daughter in the USA between 1934 and 1937.
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The purpose of this paper is to describe and demonstrate some of the advanced behavioral features currently being developed for the building-EXODUS evacuation model. These advanced features involve the ability to specify roles for particular individuals during the evacuation. With these enhancements to the Behavioral Sub model of building-EXODUS, it is possible to include a number of procedural and behavioral aspects previously ignored in evacuation simulations. These include the behavioral aspect of group bonding, the procedural aspects involved with the role of the fire warden and rescue operations undertaken by the fire services. The importance of these enhancements are discussed and demonstrated through three simple simulations.
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In this paper we present a set of field tests for detection of human in the water with an unmanned surface vehicle using infrared and color cameras. These experiments aimed to contribute in the development of victim target tracking and obstacle avoidance for unmanned surface vehicles operating in marine search and rescue missions. This research is integrated in the work conducted in the European FP7 research project Icarus aiming to develop robotic tools for large scale rescue operations. The tests consisted in the use of the ROAZ unmanned surface vehicle equipped with a precision GPS system for localization and both visible spectrum and IR cameras to detect the target. In the experimental setup, the test human target was deployed in the water wearing a life vest and a diver suit (thus having lower temperature signature in the body except hands and head) and was equipped with a GPS logger. Multiple target approaches were performed in order to test the system with different sun incidence relative angles. The experimental setup, detection method and preliminary results from the field trials performed in the summer of 2013 in Sesimbra, Portugal and in La Spezia, Italy are also presented in this work.
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The use of mobile robots turns out to be interesting in activities where the action of human specialist is difficult or dangerous. Mobile robots are often used for the exploration in areas of difficult access, such as rescue operations and space missions, to avoid human experts exposition to risky situations. Mobile robots are also used in agriculture for planting tasks as well as for keeping the application of pesticides within minimal amounts to mitigate environmental pollution. In this paper we present the development of a system to control the navigation of an autonomous mobile robot through tracks in plantations. Track images are used to control robot direction by preprocessing them to extract image features. Such features are then submitted to a support vector machine in order to find out the most appropriate route. The overall goal of the project to which this work is connected is to develop a real time robot control system to be embedded into a hardware platform. In this paper we report the software implementation of a support vector machine, which so far presented around 93% accuracy in predicting the appropriate route. © 2012 IEEE.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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The use of mobile robots turns out to be interesting in activities where the action of human specialist is difficult or dangerous. Mobile robots are often used for the exploration in areas of difficult access, such as rescue operations and space missions, to avoid human experts exposition to risky situations. Mobile robots are also used in agriculture for planting tasks as well as for keeping the application of pesticides within minimal amounts to mitigate environmental pollution. In this paper we present the development of a system to control the navigation of an autonomous mobile robot through tracks in plantations. Track images are used to control robot direction by pre-processing them to extract image features. Such features are then submitted to a support vector machine and an artificial neural network in order to find out the most appropriate route. A comparison of the two approaches was performed to ascertain the one presenting the best outcome. The overall goal of the project to which this work is connected is to develop a real time robot control system to be embedded into a hardware platform. In this paper we report the software implementation of a support vector machine and of an artificial neural network, which so far presented respectively around 93% and 90% accuracy in predicting the appropriate route. (C) 2013 The Authors. Published by Elsevier B.V. Selection and peer review under responsibility of the organizers of the 2013 International Conference on Computational Science
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Final report; January 1979.
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"Publication date: August 1986"--P. [2] of cover.
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The purpose of this paper is to describe and demonstrate some of the advanced behavioural features currently being developed for the building-EXODUS evacuation model. These advanced features involve the ability to specify roles for particular individuals during the evacuation. With these enhancements to the Behavioural Submodel of building-EXODUS, it is possible to include a number of procedural and behavioural aspects previously ignored in evacuation simulations. These include the behavioural aspect of group bonding, the procedural aspects involved with the role of the fire warden and rescue operations undertaken by the fire services. The importance of these enhancements are discussed and demonstrated through three simple simulations.
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Cover title.