We start from a case study of an architecture company and move on to a framework of agents to identify and inform conceptual design. The processes and problems exhibited by the company involved are quite common and ca...
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We start from a case study of an architecture company and move on to a framework of agents to identify and inform conceptual design. The processes and problems exhibited by the company involved are quite common and can be found in other similar companies. Our intent is to instrument the current process using agent technology, in an effort to improve global awareness during the conceptual design phase, allowing the designers to design so as to facilitate later steps and optimize the process as a whole.
Fuzzy segmentation is a technique that assigns to each element in an image (corrupted by noise and/or shading) a grade of membership in an object (which is believed to be contained in the image). In an earlier work th...
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Due to a widely use of XML language in various application domains, a well-established mechanism for the definition and enforcement of security controls on specific accesses to XML documents is demanded, in order to e...
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We obtain recombination rate distribution functions for all human chromosomes using an optimal quantization method. This nonparametric method allows us to control over-/under-fitting. The piece-wise constant recombina...
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We obtain recombination rate distribution functions for all human chromosomes using an optimal quantization method. This nonparametric method allows us to control over-/under-fitting. The piece-wise constant recombination rate distribution functions are convenient to store and retrieve. Our experimental results showed more abrupt distribution functions than two recently published results. In the previous results, the over-/under-fitting issues were not addressed explicitly. Our estimation had greater log likelihood over a previous result using Parzen window. It suggests that the optimal quantization technique might be of great advantage for estimation of other genomic feature distributions.
Traditional security systems are not easily scalable and can become single points of failure or performance bottlenecks when used on a large-scale distributed system such as the Internet. This problem occurs also when...
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Traditional security systems are not easily scalable and can become single points of failure or performance bottlenecks when used on a large-scale distributed system such as the Internet. This problem occurs also when using a public key infrastructure (PKI) with a hierarchical thrust model. SDSI/SPKI is a PKI that adopts a more scalable trust paradigm, which is focused on the client and based on authorization chains. However, the task of locating the chain that links a client to a server is not completely addressed by SDSI/SPKI. Aiming to overcome this limitation, the paper proposes extensions to the SDSI/SPKI authorization and authentication model. The proposed approach introduces the concept of Federation Webs, which allows the client to build new authorization chains linking it to a server when a direct path does not exist. A prototype implementation of this proposal has shown promising results.
In this paper we analyze the use of research activities as learning instrument in electrical engineering and computerscience. This pedagogic approach was applied in undergraduate disciplines, undergraduate teaching a...
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In this paper we analyze the use of research activities as learning instrument in electrical engineering and computerscience. This pedagogic approach was applied in undergraduate disciplines, undergraduate teaching assistance and undergraduate research projects. Our main goals are optimize the learning process using research and motivate the use of research activities as learning instrument.
Optimal quantization, a non-parametric technique for pattern recognition, determines a compact and efficient density representation of data by optimizing a global quantizer performance measure, which is a weighted com...
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Optimal quantization, a non-parametric technique for pattern recognition, determines a compact and efficient density representation of data by optimizing a global quantizer performance measure, which is a weighted com...
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