2008
Autores
Cardoso, JMP;
Publicação
INTERNATIONAL JOURNAL OF ENGINEERING EDUCATION
Abstract
This paper presents an approach to teaching design of non-programmable application-specific architectures using VHDL, logic and physical synthesis tools and FPGAs. The approach relies on mini-projects that resemble typical problems that students may face in real-life concerning the design of application-specific architectures. The teaching approach presented in this paper supports the incremental learning of both VHDL and the tools used. as the projects are being developed, i.e., students are motivated to acquire skills at the pace at which those skills are required to advance project development. The results so far are very encouraging. Even students with little knowledge of hardware design and embedded systems have succeeded in their assignments. Feedback obtained front students reveals the suitability of certain aspects of the approach and the major difficulties they have faced.
2008
Autores
Silva, SFO; Frazao, O; Santos, JL; Araujo, FM; Ferreira, LA;
Publicação
JOURNAL OF OPTICS A-PURE AND APPLIED OPTICS
Abstract
A fibre Bragg grating structure arranged in a twisted configuration is proposed for sensing applications. The characteristics of the sensing head for measuring temperature, longitudinal strain and transverse load are analysed. It is shown that this configuration is particularly applicable for transverse load measurement. In this case a resolution of 0.002 N mm(-1)Hz(-1/2) was achieved.
2008
Autores
Chituc, CM; Azevedo, A; Toscano, C;
Publicação
INNOVATION IN MANUFACTURING NETWORKS
Abstract
Several collaborative business frameworks have been developed in order to support organizations to attain interoperability in today's networked business arena. However, the diversity of frameworks generates selection problems. The goal of this article is to present an analytical method supporting the comparison of collaborative business frameworks, which may also be used by decision makers in the framework selection process. The results obtained by comparing four collaborative business frameworks are discussed.
2008
Autores
Valente, JMS;
Publicação
ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH
Abstract
In this paper, we consider the single machine scheduling problem with linear earliness and quadratic tardiness costs, and no machine idle time. We propose a lower bounding procedure based on the relaxation of the jobs' completion times. Optimal branch-and-bound algorithms are then presented. These algorithms incorporate the proposed lower bound, as well as an insertion-based dominance test. The branch-and-bound procedures are tested on a wide set of randomly generated problems. The computational results show that the branch-and-bound algorithms are capable of optimally solving, within reasonable computation times, instances with up to 20 jobs.
2008
Autores
Lorena, AC; de Carvalho, ACPLF; Gama, JMP;
Publicação
ARTIFICIAL INTELLIGENCE REVIEW
Abstract
Several real problems involve the classification of data into categories or classes. Given a data set containing data whose classes are known, Machine Learning algorithms can be employed for the induction of a classifier able to predict the class of new data from the same domain, performing the desired discrimination. Some learning techniques are originally conceived for the solution of problems with only two classes, also named binary classification problems. However, many problems require the discrimination of examples into more than two categories or classes. This paper presents a survey on the main strategies for the generalization of binary classifiers to problems with more than two classes, known as multiclass classification problems. The focus is on strategies that decompose the original multiclass problem into multiple binary subtasks, whose outputs are combined to obtain the final prediction.
2008
Autores
Monteiro, M; Oliveira, P; Goncalves, R;
Publicação
ICSOFT 2008: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON SOFTWARE AND DATA TECHNOLOGIES, VOL PL/DPS/KE
Abstract
Due to data-driven application nature and its increasing complexity, developing its user interface can be a repetitive and time-consuming activity. Consequently, developers tend to focus more on the user interface aspects and less on business related code. In this paper, we present an alternative approach to graphical user interface development for data-driven applications, where the key concept is the generation of concrete graphical user interface from a source code based model. The model includes the original source code metadata and non-intrusive declarative language extensions that describes the user interface structure. Some Object Relational Mapping tools already use a similar concept to handle interoperability between the data layer and the business layer. Our approach applies the same concept to handle business and presentation layer interoperability. Also, concrete user interface implementation will be delegated to specialized software packages, developed by external entities, that provide complete graphical user interfaces services to the application. When applying our approach, we expect faster graphical user interface development, allowing developers to refocus on the source code and concentrate their efforts on application core logic.
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