http://sedici.unlp.edu.ar:80/handle/10915/377 2026-07-20T13:53:18Z 2026-07-20T13:53:18Z Aragón, Juan Luis http://sedici.unlp.edu.ar:80/handle/10915/9459 2019-06-16T04:04:15Z 2002-04-01T00:00:00Z

Revision Journal of Computer Science & Technology; vol. 3, no. 1 The goal of this Thesis is reducing the global penalty associated to branch mispredictions, in terms of both performance degradation and energy consumption, through the use of confidence estimation. The reduction of this global penalty has been achieved, firstly, by increasing the accuracy of branch predictors, next, by reducing the time necessary to restore the processor from a mispredicted branch, and finally, by reducing the energy consumption due to the execution of incorrect instructions. All these proposals rely on the use of confidence estimation, a mechanism that assesses the quality of branch predictions by means of estimating the probability of a dynamic branch prediction to be correct or incorrect. Resumen de tesis presentada por el autor en la Universidad de Murcia (2003)

2002-04-01T00:00:00Z The goal of this Thesis is reducing the global penalty associated to branch mispredictions, in terms of both performance degradation and energy consumption, through the use of confidence estimation. The reduction of this global penalty has been achieved, firstly, by increasing the accuracy of branch predictors, next, by reducing the time necessary to restore the processor from a mispredicted branch, and finally, by reducing the energy consumption due to the execution of incorrect instructions. All these proposals rely on the use of confidence estimation, a mechanism that assesses the quality of branch predictions by means of estimating the probability of a dynamic branch prediction to be correct or incorrect. Jaquenod, Guillermo A. http://sedici.unlp.edu.ar:80/handle/10915/9458 2019-06-16T04:04:14Z 2003-04-01T00:00:00Z

Revision Journal of Computer Science & Technology; vol. 3, no. 1 Designed for a one-year course on DSP, the book Digital Signal Processing, A Computer Based Approach aims to give seniors or first-year graduate students strong foundations of the analysis and design of discrete-time systems for digital signal processing. Anyway, is also suitable for self-study by practicing engineers or scientists. Numerous practical examples using real life signal processing problems are given, emphasizing the mastery of concepts and tools rather than rigor of mathematics.

2003-04-01T00:00:00Z Designed for a one-year course on DSP, the book Digital Signal Processing, A Computer Based Approach aims to give seniors or first-year graduate students strong foundations of the analysis and design of discrete-time systems for digital signal processing. Anyway, is also suitable for self-study by practicing engineers or scientists. Numerous practical examples using real life signal processing problems are given, emphasizing the mastery of concepts and tools rather than rigor of mathematics. Bertone, Rodolfo Alfredo http://sedici.unlp.edu.ar:80/handle/10915/9457 2019-06-16T04:04:12Z 2003-04-01T00:00:00Z

Revision Journal of Computer Science & Technology; vol. 3, no. 1 This book provides an excellent foundation for the principles of database and data management. It explains some of the more difficult concepts fairly well. The book is meant for an introductory course in database management which is usually required as part of a computer science departments.

2003-04-01T00:00:00Z This book provides an excellent foundation for the principles of database and data management. It explains some of the more difficult concepts fairly well. The book is meant for an introductory course in database management which is usually required as part of a computer science departments. Chen, Jiazhong Zhou, Jingli Yu, Shengsheng Xiao, Qian Xu, Jun http://sedici.unlp.edu.ar:80/handle/10915/9456 2019-06-16T04:04:11Z 2003-04-01T00:00:00Z

Articulo Journal of Computer Science & Technology; vol. 3, no. 1 Multiwavelets are new addition to the body of wavelet theory. There are many types of symmetric multiwavelets such as Geronimo-Hardin-Massopust (GHM) and Chui-Lian (CL) multiwavelets. However, the matrix filter generating the GHM system multiwavelets does not satisfy the symmetric property. For this reason, this paper presents a new method to construct the symmetric orthogonal matrix filter, which leads to the symmetric orthogonal multiwavelets (SOM). Moreover, we analyze the prefilter technique, corresponding to the symmetric orthogonal matrix filter, to get a good combining frequency response. To prove the good property of SOM in image compression application, we compared the compression effect with other writers' work, which was in published literature.

2003-04-01T00:00:00Z Multiwavelets are new addition to the body of wavelet theory. There are many types of symmetric multiwavelets such as Geronimo-Hardin-Massopust (GHM) and Chui-Lian (CL) multiwavelets. However, the matrix filter generating the GHM system multiwavelets does not satisfy the symmetric property. For this reason, this paper presents a new method to construct the symmetric orthogonal matrix filter, which leads to the symmetric orthogonal multiwavelets (SOM). Moreover, we analyze the prefilter technique, corresponding to the symmetric orthogonal matrix filter, to get a good combining frequency response. To prove the good property of SOM in image compression application, we compared the compression effect with other writers' work, which was in published literature. Granitto, Pablo Miguel Garralda, Pablo A. Verdes, Pablo Fabián Ceccatto, Hermenegildo Alejandro http://sedici.unlp.edu.ar:80/handle/10915/9455 2019-06-16T04:04:08Z 2003-04-01T00:00:00Z

Articulo Journal of Computer Science & Technology; vol. 3, no. 1 The identification and classification of seeds are of major technical and economical importance in the agricultural industry. To automate these activities, like in ocular inspection one should consider seed size, shape, color and texture, which can be obtained from seed images. In this work we complement previous studies on the discriminating power of these characteristics for the unique identification of seeds of 57 weed species. In particular, we discuss the possibility of improving the naïve Bayes and artificial neural network classifiers previously developed in order to avoid the use of color features as classification parameters. Morphological and textural seed characteristics can be obtained from black and white images, which are easier to process and require a cheaper hardware than color ones. To this end, we boost the classification methods by means of the AdaBoost.M1 technique, and compare the results obtained with the performance achieved when using color images. We conclude that boosting the naïve Bayes and neural classifiers does not fully compensate the discriminating power of color features. However, the improvement in classification accuracy might be enough to make the classifier still acceptable in practical applications.

2003-04-01T00:00:00Z The identification and classification of seeds are of major technical and economical importance in the agricultural industry. To automate these activities, like in ocular inspection one should consider seed size, shape, color and texture, which can be obtained from seed images. In this work we complement previous studies on the discriminating power of these characteristics for the unique identification of seeds of 57 weed species. In particular, we discuss the possibility of improving the naïve Bayes and artificial neural network classifiers previously developed in order to avoid the use of color features as classification parameters. Morphological and textural seed characteristics can be obtained from black and white images, which are easier to process and require a cheaper hardware than color ones. To this end, we boost the classification methods by means of the AdaBoost.M1 technique, and compare the results obtained with the performance achieved when using color images. We conclude that boosting the naïve Bayes and neural classifiers does not fully compensate the discriminating power of color features. However, the improvement in classification accuracy might be enough to make the classifier still acceptable in practical applications. Sametinger, Johannes R. Keller, Rudolf K. http://sedici.unlp.edu.ar:80/handle/10915/9454 2019-06-16T04:04:08Z 2003-04-01T00:00:00Z

Articulo Journal of Computer Science & Technology; vol. 3, no. 1 Object-oriented software development has proven effective for systems development, but the creation of reusable and changeable software architectures is still a challenging task. Design patterns capture the expertise for reusable design solutions, but there is no methodical approach to providing conceptual design building blocks in tangible and composable form. Design components have been suggested to address this problem. We suggest design composition with design components, role models and role constraints. We claim that design expertise in composable form with explicit design constraints and with explicit documentation has many advantages. It provides alternative views on software systems at a high level of abstraction, and it can help in prohibiting known design flaws as well as design blurring and degradation during subsequent modifications. In this paper, we refine the notion of design components, include role models and constraints, and discuss component types as well as design composition.

2003-04-01T00:00:00Z Object-oriented software development has proven effective for systems development, but the creation of reusable and changeable software architectures is still a challenging task. Design patterns capture the expertise for reusable design solutions, but there is no methodical approach to providing conceptual design building blocks in tangible and composable form. Design components have been suggested to address this problem. We suggest design composition with design components, role models and role constraints. We claim that design expertise in composable form with explicit design constraints and with explicit documentation has many advantages. It provides alternative views on software systems at a high level of abstraction, and it can help in prohibiting known design flaws as well as design blurring and degradation during subsequent modifications. In this paper, we refine the notion of design components, include role models and constraints, and discuss component types as well as design composition. Iturraspe, Rodolfo Javier Urciuolo, Adriana Beatriz http://sedici.unlp.edu.ar:80/handle/10915/9453 2019-06-16T04:04:05Z 2003-04-01T00:00:00Z

Articulo Journal of Computer Science & Technology; vol. 3, no. 1 Water Resources Information Systems (WRIS) present different types of problems during the data storage and analysis phases, related with the complex nature of the environmental data spacio-temporal phenomena. There are many questions to deal with, such as geographic representation of environmental variables, large time- series management,measurements and observations related with different hydrologic phenomena recording and the integration of simulations models to information systems. Conceptual models allow us to understand and simplify problems in a specific domain. These problems can be expressed through analysis patterns, which reflect conceptual structures of an application domain speeding up the development of the abstract analysis model. This model will be able to capture the main requirements from real world problems. This type of patterns, are used in the present paper to define conceptual microarchitectures that allow the appropriate representation of environmental information in WRIS. Accordingly, the physic domain environmental objects are initially identified and an architecture style is defined, allowing this way the integration of WRIS with another interacting systems. The representation of the hydrological phenomena spatial component, is made by means of the conceptual Framework GeoFrame specialization.

2003-04-01T00:00:00Z Water Resources Information Systems (WRIS) present different types of problems during the data storage and analysis phases, related with the complex nature of the environmental data spacio-temporal phenomena. There are many questions to deal with, such as geographic representation of environmental variables, large time- series management,measurements and observations related with different hydrologic phenomena recording and the integration of simulations models to information systems. Conceptual models allow us to understand and simplify problems in a specific domain. These problems can be expressed through analysis patterns, which reflect conceptual structures of an application domain speeding up the development of the abstract analysis model. This model will be able to capture the main requirements from real world problems. This type of patterns, are used in the present paper to define conceptual microarchitectures that allow the appropriate representation of environmental information in WRIS. Accordingly, the physic domain environmental objects are initially identified and an architecture style is defined, allowing this way the integration of WRIS with another interacting systems. The representation of the hydrological phenomena spatial component, is made by means of the conceptual Framework GeoFrame specialization. Choong, KhongNeng Ali, Borhanuddin M. Prakash, Veeraraghavan Tee, Elok R. http://sedici.unlp.edu.ar:80/handle/10915/9452 2019-06-16T04:04:05Z 2003-01-01T00:00:00Z

Articulo Journal of Computer Science & Technology; vol. 3, no. 1 It has been observed that research in mobile agent focused on the development of platforms and on the application of the concept. Network awareness is one of the applications of mobile agent, concerning of how agent determine and make the most efficient use of network resources. This paper describes the role and functionality of mobile agent in the context of a dynamic proxy framework named the Chek Proxy Framework (CPF). Attention is paid on setting out a multi-agent-based framework to enrich CPF with a Network Awareness Module (NAM), which is implemented in an agent named ObjectBasket (OB). NAM is a single framework that integrates resource discovery, load monitoring and migration, and fault management, to operate in a network with dynamic proxy servers. The main objective of NAM is to deliver robustness and best-effort QoS guarantees into the existing CPF system adaptively, based on the availability of resources in the network. In this paper, we present the architecture of NAM, status generation algorithm, implementation rules, and the management of faults and overloading.

2003-01-01T00:00:00Z It has been observed that research in mobile agent focused on the development of platforms and on the application of the concept. Network awareness is one of the applications of mobile agent, concerning of how agent determine and make the most efficient use of network resources. This paper describes the role and functionality of mobile agent in the context of a dynamic proxy framework named the Chek Proxy Framework (CPF). Attention is paid on setting out a multi-agent-based framework to enrich CPF with a Network Awareness Module (NAM), which is implemented in an agent named ObjectBasket (OB). NAM is a single framework that integrates resource discovery, load monitoring and migration, and fault management, to operate in a network with dynamic proxy servers. The main objective of NAM is to deliver robustness and best-effort QoS guarantees into the existing CPF system adaptively, based on the availability of resources in the network. In this paper, we present the architecture of NAM, status generation algorithm, implementation rules, and the management of faults and overloading. Katz, Román Delrieux, Claudio http://sedici.unlp.edu.ar:80/handle/10915/9451 2019-06-16T04:04:03Z 2003-01-01T00:00:00Z

Articulo Journal of Computer Science & Technology; vol. 3, no. 1 Boundary extraction is an important procedure associated with recognition and interpretation tasks in digital image processing and computer vision. Most of the segmentation techniques are based on the detection of the local gradient, and then their application in noisy images is unstable and unreliable. Therefore global mechanisms are required, so that they can avoid falling into spurious solutions due to the noise. In this paper we present a gradient-based evolutionary algorithm as a heuristic mechanism to achieve boundary extraction in noisy digital images. Evolutionary algorithms explore the combinatory space of possible solutions by means of a process of selection of the best solutions (generated by mutation and crossover), followed by the evaluation of the new solutions (fitness) and the selection of a new set of solutions. Each possible solution is in our case a contour, whose fitness measures the variation of intensity accumulated along it. This process is repeated from a first approximation of the solution (the initial population)either a certain number of generations or until some appropriate halting criterion is reached. The uniform exploration of the space of solutions and the local minima avoidance induce to form better solutions through the gradual evolution of the populations.

2003-01-01T00:00:00Z Boundary extraction is an important procedure associated with recognition and interpretation tasks in digital image processing and computer vision. Most of the segmentation techniques are based on the detection of the local gradient, and then their application in noisy images is unstable and unreliable. Therefore global mechanisms are required, so that they can avoid falling into spurious solutions due to the noise. In this paper we present a gradient-based evolutionary algorithm as a heuristic mechanism to achieve boundary extraction in noisy digital images. Evolutionary algorithms explore the combinatory space of possible solutions by means of a process of selection of the best solutions (generated by mutation and crossover), followed by the evaluation of the new solutions (fitness) and the selection of a new set of solutions. Each possible solution is in our case a contour, whose fitness measures the variation of intensity accumulated along it. This process is repeated from a first approximation of the solution (the initial population)either a certain number of generations or until some appropriate halting criterion is reached. The uniform exploration of the space of solutions and the local minima avoidance induce to form better solutions through the gradual evolution of the populations. Segrera, Saddys Ponce-Hernandez, Raúl Arcia, J. http://sedici.unlp.edu.ar:80/handle/10915/9450 2019-06-16T04:04:02Z 2003-01-01T00:00:00Z

Articulo Journal of Computer Science & Technology; vol. 3, no. 1 The main objective of this paper centers on reviewing the evolution of Decision Support System´s (DSS) architectures, particularly as they apply to natural resources. Today it is difficult to conceive the existence of a rural planning automated system that doesn't include spatial analysis functionality and that does not consider the integrated use of different analytical modules. This wider range of functions allow for solving problems from resource and environmental management. Geographical Information Systems (GIS), automated land evaluation, multi-criteria participatory analysis in decision making are but the most salient technologies in a DSS. DSS have evolved; their architecture, mode of implementation, as well as their functionality and the incorporation of new computational techniques have advanced lately. In the particular case of Cuba,the first steps in materializing this evolution have begun. At present, the National Sugar Cane Research Institute (INICA)leads a research project oriented towards the development and building of a dedicated DSS for sugar cane cropping.This is conceived as an integrated SDSS (Spatial DSS)to support decision -making and multiple problem- solving in such a fundamental productive activity such as sugar cane agriculture in Cuba.

2003-01-01T00:00:00Z The main objective of this paper centers on reviewing the evolution of Decision Support System´s (DSS) architectures, particularly as they apply to natural resources. Today it is difficult to conceive the existence of a rural planning automated system that doesn't include spatial analysis functionality and that does not consider the integrated use of different analytical modules. This wider range of functions allow for solving problems from resource and environmental management. Geographical Information Systems (GIS), automated land evaluation, multi-criteria participatory analysis in decision making are but the most salient technologies in a DSS. DSS have evolved; their architecture, mode of implementation, as well as their functionality and the incorporation of new computational techniques have advanced lately. In the particular case of Cuba,the first steps in materializing this evolution have begun. At present, the National Sugar Cane Research Institute (INICA)leads a research project oriented towards the development and building of a dedicated DSS for sugar cane cropping.This is conceived as an integrated SDSS (Spatial DSS)to support decision -making and multiple problem- solving in such a fundamental productive activity such as sugar cane agriculture in Cuba. Machado, Rubens C. Saude, Andre V. Lotufo, Roberto http://sedici.unlp.edu.ar:80/handle/10915/9449 2019-06-16T04:04:01Z 2003-01-01T00:00:00Z

Articulo Journal of Computer Science & Technology; vol. 3, no. 1 This paper presents the Adesso, a computational environment for the development of scientific software. The Adesso environment leverages the reusable software component programming model to support the development and integration of components to several scientific programming platforms. The Adesso system is based on an XML component database and a set of XML document transformation tools for the automatic generation of component code, documentation and packaging. An authoring tool, built with the help of the Adesso transformation system itself, is provided to assist the user in the creation of components. The Adesso system has been used for the development of several image processing toolboxes and applications. Some of them are presented briefly in this paper.

2003-01-01T00:00:00Z This paper presents the Adesso, a computational environment for the development of scientific software. The Adesso environment leverages the reusable software component programming model to support the development and integration of components to several scientific programming platforms. The Adesso system is based on an XML component database and a set of XML document transformation tools for the automatic generation of component code, documentation and packaging. An authoring tool, built with the help of the Adesso transformation system itself, is provided to assist the user in the creation of components. The Adesso system has been used for the development of several image processing toolboxes and applications. Some of them are presented briefly in this paper.