Errors in diagnosing the disease is a critical risk that must be faced by any person giving treatment to the hospital. Medical treatment can not always be done with perfect accuracy. Lung cancer is one of the most dea...
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This paper describes a comparison of two FPGA Montgomery modular multiplication architectures: a fully systolic array and a parallel implementation. The modular multiplication is employed in modular exponentiation pro...
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Collective Intelligence has received much attention in recent years, as organizations and businesses discover the power of crowds. With new technologies, such as blogs, twitter, wikis, photo sharing, collaborative tag...
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A gaming platform has been used to implement a Home Automated Telemanagement (HAT) system for chronic disease management in the patient's home. The system questions patients with congestive heart failure (CHF) to ...
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A gaming platform has been used to implement a Home Automated Telemanagement (HAT) system for chronic disease management in the patient's home. The system questions patients with congestive heart failure (CHF) to monitor symptoms, weight changes, and quality of life while educating the patient on their disease. The system is designed to run on the Nintendo Wii videogame console using an active internet connection and the console's built in internet browser. It questions the patient daily on their condition, monitors their weight, and provides the patient with instant feedback on their condition in the form of a 3 zone CHF action plan. The system is designed to be as simple as possible, making it usable by patients with no prior computer or videogame experience. This telemanagement system has been successfully designed and implemented to optimize the care of patients with CHF.
In this paper, we propose a process model, which we call Document Product Lines, for the intensive generation of documents with variable content. Unlike current approaches, we identify the variability sources at the r...
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ISBN:
(纸本)9781450302319
In this paper, we propose a process model, which we call Document Product Lines, for the intensive generation of documents with variable content. Unlike current approaches, we identify the variability sources at the requirements level, including an explicit representation and management of these sources. The process model provides a methodological guidance to the (semi)automated generation of customized editors following the principles, techniques, and available technologies of Software Product Line Engineering. We illustrate our proposal with its application to the intensive generation of Emergency Plans. Copyright 2010 ACM.
Artificial Immune Systems (AISs) are composed of techniques inspired by immunology. The clonal selection principle ensures the organism adaptation to fight invading antigens by an immune response activated by the bind...
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The necessity of lowering the execution of system tests' cost is a consensual point in the software development community. The present study presents an optimization of the regression tests' activity, by adapt...
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The necessity of lowering the execution of system tests' cost is a consensual point in the software development community. The present study presents an optimization of the regression tests' activity, by adapting a test cases prioritization technique called Failure Pursuit Sampling-previously used and validated for the prioritization of tests in general-improving its efficiency for the exclusive execution of regression test. For this purpose, the clustering and sampling phases of the original technique were modified, so that it becomes capable of receive information from tests made on the previous version of a program, and can use this information to drive de efficiency of the new developed technique, for tests made on a present version. The adapted technique was implemented and executed using the Schedule program, of the Siemens suit. By using Average of the Percentage of Faults Detected charts, the modified Failure Pursuit Sampling technique presented a high level of efficiency improvement.
In this research will show a method for sound-recognition with artificial neural network backpropagation concept. The artificial neural network use sigmoid activation function to all layer. Steps to the extraction, fi...
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The biclustering problem consists in simultaneously clustering rows and columns of a data matrix. The aim of this paper is to empirically assess the performance of cooperative coevolution as an alternative approach fo...
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The biclustering problem consists in simultaneously clustering rows and columns of a data matrix. The aim of this paper is to empirically assess the performance of cooperative coevolution as an alternative approach for coping with the task of discovering good and sizeable biclusters. For this purpose, two cooperative coevolutionary algorithms, one configured with genetic algorithms (GAs) and another configured with particle swarm optimization (PSO), have been investigated through experiments conducted over two real-world problems. The results achieved reveal that, when compared with simple GA, standard PSO, and the PSO-GA hybrid algorithms, the coevolutionary models (especially the ones configured with PSO) usually prevail in terms of discovering larger coherent biclusters, but lag behind in terms of computational efficiency.
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