233,017 research outputs found
Damage identification in structural health monitoring: a brief review from its implementation to the Use of data-driven applications
The damage identification process provides relevant information about the current state of a structure under inspection, and it can be approached from two different points of view. The first approach uses data-driven algorithms, which are usually associated with the collection of data using sensors. Data are subsequently processed and analyzed. The second approach uses models to analyze information about the structure. In the latter case, the overall performance of the approach is associated with the accuracy of the model and the information that is used to define it. Although both approaches are widely used, data-driven algorithms are preferred in most cases because they afford the ability to analyze data acquired from sensors and to provide a real-time solution for decision making; however, these approaches involve high-performance processors due to the high computational cost. As a contribution to the researchers working with data-driven algorithms and applications, this work presents a brief review of data-driven algorithms for damage identification in structural health-monitoring applications. This review covers damage detection, localization, classification, extension, and prognosis, as well as the development of smart structures. The literature is systematically reviewed according to the natural steps of a structural health-monitoring system. This review also includes information on the types of sensors used as well as on the development of data-driven algorithms for damage identification.Peer ReviewedPostprint (published version
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Developing a taxonomy for the understanding of business and it alignment paradigms and tools
The alignment of information technology with business objectives tends to be a managerial priority in modern organisations. Thus, practitioners and researchers have proposed different approaches to assess this relationship, some following similar approaches whilst others proposing different ones. The variety of approaches proposed, however, has created confusion about the applicability and context in which these approaches can be used. Thus, aiming to tackle this challenge, this paper proposes a taxonomy that organises and compares studies of alignment assessment in terms of their theoretical constructors and their practical use. The taxonomy is build around two research sources: a) a review of the literature of alignment and b) a framework for comparing IS methodologies. The structure of the taxonomy permits insights into studies by means of six theoretical (objective, nature of strategy, paradigm, dimension, type of measurement, model) and six practical constructors (audience, scope, output, techniques, product, target). The taxonomy is then applied to six assessment studies. The benchmarking analysis of these helped to identify their theoretical basis and its practical use, and confirms the need for more practical mechanisms to assess alignment. Additionally, it becomes apparent that process perspectives and social understanding of alignment are the two main paradigms for alignment
A Framework for Evaluating Model-Driven Self-adaptive Software Systems
In the last few years, Model Driven Development (MDD), Component-based
Software Development (CBSD), and context-oriented software have become
interesting alternatives for the design and construction of self-adaptive
software systems. In general, the ultimate goal of these technologies is to be
able to reduce development costs and effort, while improving the modularity,
flexibility, adaptability, and reliability of software systems. An analysis of
these technologies shows them all to include the principle of the separation of
concerns, and their further integration is a key factor to obtaining
high-quality and self-adaptable software systems. Each technology identifies
different concerns and deals with them separately in order to specify the
design of the self-adaptive applications, and, at the same time, support
software with adaptability and context-awareness. This research studies the
development methodologies that employ the principles of model-driven
development in building self-adaptive software systems. To this aim, this
article proposes an evaluation framework for analysing and evaluating the
features of model-driven approaches and their ability to support software with
self-adaptability and dependability in highly dynamic contextual environment.
Such evaluation framework can facilitate the software developers on selecting a
development methodology that suits their software requirements and reduces the
development effort of building self-adaptive software systems. This study
highlights the major drawbacks of the propped model-driven approaches in the
related works, and emphasise on considering the volatile aspects of
self-adaptive software in the analysis, design and implementation phases of the
development methodologies. In addition, we argue that the development
methodologies should leave the selection of modelling languages and modelling
tools to the software developers.Comment: model-driven architecture, COP, AOP, component composition,
self-adaptive application, context oriented software developmen
A compiler approach to scalable concurrent program design
The programmer's most powerful tool for controlling complexity in program design is abstraction. We seek to use abstraction in the design of concurrent programs, so as to
separate design decisions concerned with decomposition, communication, synchronization, mapping, granularity, and load balancing. This paper describes programming and compiler techniques intended to facilitate this design strategy. The programming techniques are based on a core programming notation with two important properties: the ability to separate concurrent programming concerns, and extensibility with reusable programmer-defined
abstractions. The compiler techniques are based on a simple transformation system together with a set of compilation transformations and portable run-time support. The
transformation system allows programmer-defined abstractions to be defined as source-to-source transformations that convert abstractions into the core notation. The same
transformation system is used to apply compilation transformations that incrementally transform the core notation toward an abstract concurrent machine. This machine can be implemented on a variety of concurrent architectures using simple run-time support.
The transformation, compilation, and run-time system techniques have been implemented and are incorporated in a public-domain program development toolkit. This
toolkit operates on a wide variety of networked workstations, multicomputers, and shared-memory
multiprocessors. It includes a program transformer, concurrent compiler, syntax checker, debugger, performance analyzer, and execution animator. A variety of substantial
applications have been developed using the toolkit, in areas such as climate modeling and fluid dynamics
Software como um Serviço: uma plataforma eficaz para oferta de sistemas holĂsticos de gestĂŁo da performance
This study main objective was to assess the viability of development of a Performance Management (PM) system, delivered in the form of Software as a Service (SaaS), specific for the hospitality industry and to evaluate the benefits of its use. Software deployed in the cloud, delivered and licensed as a service, is becoming increasingly common and accepted in a business context. Although, Business Intelligence (BI) solutions are not usually distributed in the SaaS model, there are some examples that this is changing. To achieve the study objective, design science research methodology was employed in the development of a prototype. This prototype was deployed in four hotels and its results evaluated. Evaluation of the prototype was focused both on the system technical characteristics and business benefits. Results shown that hotels were very satisfied with the system and that building a prototype and making it available in the form of SaaS is a good solution to assess BI systems contribution to improve management performance.O objetivo principal deste estudo Ă© avaliar a viabilidade de
desenvolvimento de um sistema de GestĂŁo da Performance, entregue
sob a forma de “Software como Serviço” (SaaS), especĂfico para o setor
hoteleiro, e tambĂ©m avaliar os benefĂcios de seu uso. O software
implantado na cloud, entregue e licenciado como um serviço, é cada vez
mais aceite num contexto de negĂłcios. Todavia, nĂŁo Ă© comum que
soluções de Business Intelligence (BI) sejam distribuĂdas neste modelo
SaaS. No entanto, existem alguns exemplos de que isso se está a alterar.
Para atingir o objetivo do estudo, foi utilizada Design Science Research
como metodologia de pesquisa cientĂfica para desenvolvimento de um
protótipo. Este protótipo foi implementado em quatro hotéis para que
os seus resultados pudessem ser avaliados. A avaliação foi focada tanto
nas caracterĂsticas tĂ©cnicas do sistema como nos benefĂcios para o
negócio. Os resultados mostraram que os hotéis estavam muito
satisfeitos com o sistema e que construir um protótipo e disponibilizá-lo sob a forma de SaaS é uma boa solução para avaliar a contribuição
dos sistemas de BI para melhorar o desempenho da gestĂŁo.info:eu-repo/semantics/publishedVersio
An Adaptive Design Methodology for Reduction of Product Development Risk
Embedded systems interaction with environment inherently complicates
understanding of requirements and their correct implementation. However,
product uncertainty is highest during early stages of development. Design
verification is an essential step in the development of any system, especially
for Embedded System. This paper introduces a novel adaptive design methodology,
which incorporates step-wise prototyping and verification. With each adaptive
step product-realization level is enhanced while decreasing the level of
product uncertainty, thereby reducing the overall costs. The back-bone of this
frame-work is the development of Domain Specific Operational (DOP) Model and
the associated Verification Instrumentation for Test and Evaluation, developed
based on the DOP model. Together they generate functionally valid test-sequence
for carrying out prototype evaluation. With the help of a case study 'Multimode
Detection Subsystem' the application of this method is sketched. The design
methodologies can be compared by defining and computing a generic performance
criterion like Average design-cycle Risk. For the case study, by computing
Average design-cycle Risk, it is shown that the adaptive method reduces the
product development risk for a small increase in the total design cycle time.Comment: 21 pages, 9 figure
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Towards a methodology for the development of integrated IT infrastructures
In this paper, the authors propose and validate
a methodology for the development of integrated
Information Technology (IT) infrastructures. The
motivation for putting forward a new methodology is
grounded on the limitations of the various software
engineering methodologies (traditional) that exist
today. Despite that the traditional methodologies result
in the development of Information Systems (IS) from
scratch, Enterprise Application Integration (EAI)
builds integrated IT infrastructures using existing
applications. This significant difference is associated
with many issues needed to be realised and addressed
like: (a) the changes that such an infrastructure brings
to organisations, (b) the resistance to change and (c)
the extension of IS lifecycle’s. The proposed
methodology consist of eight stages and aims at
supporting software engineers, organisations and
researchers to build integrated IT infrastructures. As a
result the methodology seeks to contribute to the body
of knowledge
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