797 research outputs found
Proceedings of Monterey Workshop 2001 Engineering Automation for Sofware Intensive System Integration
The 2001 Monterey Workshop on Engineering Automation for Software Intensive System Integration was sponsored by the Office of Naval Research, Air Force Office of Scientific Research, Army Research Office and the Defense Advance Research Projects Agency. It is our pleasure to thank the workshop advisory and sponsors for their vision of a principled engineering solution for software and for their many-year tireless effort in supporting a series of workshops to bring everyone together.This workshop is the 8 in a series of International workshops. The workshop was held in Monterey Beach Hotel, Monterey, California during June 18-22, 2001. The general theme of the workshop has been to present and discuss research works that aims at increasing the practical impact of formal methods for software and systems engineering. The particular focus of this workshop was "Engineering Automation for Software Intensive System Integration". Previous workshops have been focused on issues including, "Real-time & Concurrent Systems", "Software Merging and Slicing", "Software Evolution", "Software Architecture", "Requirements Targeting Software" and "Modeling Software System Structures in a fastly moving scenario".Office of Naval ResearchAir Force Office of Scientific Research Army Research OfficeDefense Advanced Research Projects AgencyApproved for public release, distribution unlimite
Verbmobil : translation of face-to-face dialogs
Verbmobil is a long-term project on the translation of spontaneous language in negotiation dialogs. We describe the goals of the project, the chosen discourse domains and the initial project schedule. We discuss some of the distinguishing features of Verbmobil and introduce the notion of translation on demand and variable depth of processing in speech translation. Finally, the role of anytime modules for efficient dialog translation in close to real time is described
Training and Serving System of Foundation Models: A Comprehensive Survey
Foundation models (e.g., ChatGPT, DALL-E, PengCheng Mind, PanGu-)
have demonstrated extraordinary performance in key technological areas, such as
natural language processing and visual recognition, and have become the
mainstream trend of artificial general intelligence. This has led more and more
major technology giants to dedicate significant human and financial resources
to actively develop their foundation model systems, which drives continuous
growth of these models' parameters. As a result, the training and serving of
these models have posed significant challenges, including substantial computing
power, memory consumption, bandwidth demands, etc. Therefore, employing
efficient training and serving strategies becomes particularly crucial. Many
researchers have actively explored and proposed effective methods. So, a
comprehensive survey of them is essential for system developers and
researchers. This paper extensively explores the methods employed in training
and serving foundation models from various perspectives. It provides a detailed
categorization of these state-of-the-art methods, including finer aspects such
as network, computing, and storage. Additionally, the paper summarizes the
challenges and presents a perspective on the future development direction of
foundation model systems. Through comprehensive discussion and analysis, it
hopes to provide a solid theoretical basis and practical guidance for future
research and applications, promoting continuous innovation and development in
foundation model systems
UAV Cloud Platform for Precision Farming
A new application for Unmanned Aerial Vehicles comes to light daily to solve some
of modern society’s problems. One of the mentioned predicaments is the possibility for
optimization in agricultural processes. Due to this, a new area arose in the last years of the
twentieth century, and it is in constant progression called Precision Farming. Nowadays,
a division of this field growth is relative to Unmanned Aerial Vehicles applications.
Most traditional methods employed by farmers are ineffective and do not aid in the
progression and solution of these issues. However, there are some fields that have the
possibility to enhance many agriculture methods, such fields are Cyber-Physical Systems
and Cloud Computing. Given its capabilities like aerial surveillance and mapping, Cyber-
Physical Systems like Unmanned Aerial Vehicles are being used to monitor vast crops, to
gather insightful data thatwould take a lot more time if being collected by hand. However,
these systems typically lack computing power and storage capacity, meaning that much
of its gathered data cannot be stored and further analyzed locally. That is the obstacle that
Cloud Computing can solve. With the possibility to offload computing power by sending
the collected data to a cloud, it is possible to leverage the enormous computing power
and storage capabilities of remote data-centers to gather and analyze these datasets.
This dissertation proposes an architecture for this use case by leveraging the advantages
of Cloud Computing to aid the obstacles of Unmanned Aerial Vehicles. Moreover,
this dissertation is a collaboration with an on-going Horizon 2020 European project that
deals with precision farming and agriculture enhanced by Cyber-Physical Systems.A cada dia que passa, novas aplicações para Veículos aéreos não tripulados são inventadas,
de forma a resolver alguns dos problemas actuais da sociedade. Um desses problemas, é
a possibilidade de otimização em processos agrículas. Devido a isto, nos últimos anos do
século 20 nasceu uma nova área de investigação intitulada Agricultura de alta precisão.
Hoje em dia, uma secção desta área diz respeito à inovação nas aplicações com recurso a
Veículos aéreos não tripulados.
A maioria dos métodos tradicionais usados por agricultores são ineficientes e não
auxiliam nem a evolução nem a resolução destes problemas. Contudo, existem algumas
áreas científicas que permitem a evoluçao de algumos métodos agrículas, estas áreas são os
Sistemas Ciber-Físicos e a Computação na Nuvem. Dadas as suas capacidades tais como a
vigilância e mapeamento aéreo, certos Sistemas Ciber-Físicos como os Veículos aéreos não
tripulados estão a ser usados para monitorizar vastas culturas de forma a recolher dados
que levariam muito mais tempo caso fossem recolhidos manualmente. No entanto, estes
sistemas geralmente não detêm grandes capacidades de computação e armazenamento, o
que significa que muitos dos dados recolhidos não podem ser armazenados e analisados
localmente. É aí que a Computação na Nuvem é útil, com a possibilidade de enviar estes
dados para uma nuvem, é possível aproveitar o enorme poder de computação e os recursos
de armazenamento dos datacenters remotos para armazenar e analisar estes conjuntos de
dados.
Esta dissertação propõe uma arquitetura para este caso de uso ao fazer uso das vantagens
da Computação na Nuvem de forma a combater os obstáculos dos Veículos aéreos
não tripulados. Além disso, esta dissertação é também uma colaboração com um projecto
Europeu Horizonte 2020 na área da Agricultura de alta precisão com recurso a Veículos
aéreos não tripulados
An investigation of the electrolytic plasma oxidation process for corrosion protection of pure magnesium and magnesium alloy AM50.
In this study, silicate and phosphate EPO coatings were produced on pure magnesium using an AC power source. It was found that the silicate coatings possess good wear resistance, while the phosphate coatings provide better corrosion protection. A Design of Experiment (DOE) technique, the Taguchi method, was used to systematically investigate the effect of the EPO process parameters on the corrosion protection properties of a coated magnesium alloy AM50 using a DC power. The experimental design consisted of four factors (treatment time, current density, and KOH and NaAlO2 concentrations), with three levels of each factor. Potentiodynamic polarization measurements were conducted to determine the corrosion resistance of the coated samples. The optimized processing parameters are 12 minutes, 12 mA/cm2 current density, 0.9 g/l KOH, 15.0 g/l NaAlO2. The results of the percentage contribution of each factor determined by the analysis of variance (ANOVA) imply that the KOH concentration is the most significant factor affecting the corrosion resistance of the coatings, while treatment time is a major factor affecting the thickness of the coatings. (Abstract shortened by UMI.)Dept. of Electrical and Computer Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2005 .M323. Source: Masters Abstracts International, Volume: 44-03, page: 1479. Thesis (M.A.Sc.)--University of Windsor (Canada), 2005
- …