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Function approximation through fuzzy systems using taylor series expansion-based rules: Interpretability and parameter tuning 1

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3rd Mexican International Conference on Artificial Intelligence, MICAI 2004

作者： Herrera, Luis Javier Pomares, Héctor Rojas, Ignacio González, Jesús Valenzuela, Olga University of Granada Department of Computer Architecture and Technology E.T.S. Computer Engineering Granada18071 Spain University of Granada Department of Applied Mathematics Granada Spain

ISBN: (数字)9783540246947

ISBN: (纸本)3540214593

In this paper we present a new approach for the problem of approximating a function from a training set of I/O points using fuzzy logic and fuzzy systems. Such approach, as we will see, will provide us a number of advantages comparing to other more-limited systems. Among these advantages, we may highlight the considerable reduction in the number of rules needed to model the underlined function of this set of data and, from other point of view, the possibility of bringing interpretation to the rules of the system obtained, using the Taylor Series concept. This work is reinforced by an algorithm able to obtain the pseudooptimal polynomial consequents of the rules. Finally the performance of our approach and that of the associated algorithm are shown through a significant example. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Fuzzy logic

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Multi-dimensional partitioning for massively parallel database machines

Multi-dimensional partitioning for massively parallel databa...

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1995 Euromicro Workshop on Parallel and Distributed Processing

作者： Polo, A. Barrena, M. Hernández, J. Martínez, J.M. De Miguel, P. Nieto, M. Computer Science Department University of Extremadura Spain Architecture and Technology of Information Systems Department Technical University of Madrid Spain

ISBN: (纸本)0818670312

Harder, new requirements are appearing in the area of database systems. The popularity reached by parallel database systems during the past decade, due to their high performance and scalability characteristics, should be currently maintained and enhanced by including more powerful processing tools. In this paper we present a general technique for declustering data in a parallel relational database using multi-dimensional partitioning via m-Q-tree indexes. We propose the multiattribute index structure m-Q-tree as a new general access method which permits to exploit the potential parallelism of all relational operations, in addition to favor the execution of complex queries, including different kind of conditions on several attributes for one or more relations. © 1995 IEEE.

关键词： Forestry

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A novel approach to security enhancement of chaotic DSSS systems 6

A novel approach to security enhancement of chaotic DSSS sys...

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6th IEEE International Conference on Communications and Electronics, IEEE ICCE 2016

作者： Quyen, Nguyen Xuan Nguyen, Chuyen T. Barlet-Ros, Pere Dojen, Reiner School of Electronics and Telecommunications Hanoi University of Science and Technology Viet Nam Department of Computer Architecture UPC BarcelonaTech Spain Department of Electronic and Computer Engineering University of Limerick Ireland

ISBN: (纸本)9781509019311

In this paper, we propose a novel approach to the enhancement of physical layer security for chaotic direct-sequence spread-spectrum (DSSS) communication systems. The main idea behind our proposal is to vary the symbol period according to the behavior of the chaotic spreading sequence. As a result, the symbol period and the spreading sequence vary chaotically at the same time. This simultaneous variation aims at protecting DSSS-based communication systems from the blind estimation attacks in the detection of the symbol period. Discrete-Time models for spreading and despreading schemes are presented and analyzed. Multiple access performance of the proposed technique in the presence of additional white Gaussian noise (AWGN) is determined by computer simulations. The increase in security at the physical layer is also evaluated by numerical results. Obtained results show that our proposed technique can protect the system against attacks based on the detection of the symbol period, even if the intruder has full information on the used chaotic sequence. © 2016 IEEE.

关键词： Gaussian noise (electronic)

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Multi-dimensional declustering methods for parallel database systems 2nd

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2nd International Euro-Par Conference on Parallel Processing, Euro-Par 1996

作者： Barrena, M. Hernández, J. Martínez, J.M. Polo, A. de Miguel, P. Nieto, M. Computer Science Department University of Extremadura Spain Architecture and Technology of Information Systems Department Technical University of Madrid Spain

ISBN: (纸本)3540616276

This paper describes and evaluates new methods for relation declustering in parallel databases. To process queries in parallel, relations are partitioned across multiple processors, typically by using the value of one single attribute. This kind of declustering has resulted in poor performance in the presence of data skew. Alternatively, the work contained herein proposes several strategies to decluster a relation through the use of multiple attributes. To demonstrate the validity of our approach, a thorough performance evaluation is done. The findings demonstrate the effectiveness of this kind of partitioning methods as opposed to traditional ones. In addition we analyze the performance of the different strategies relative to the speed-up and scale-up metrics. To sum up, performance results reveal that multi-dimensional declustering methods constitute a very promising alternative to conventional one-dimensional methods to partition relations in parallel database systems. © 1996 Springer Verlag. All rights reserved.

关键词： Database systems

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Monitoring edge-to-edge traffic aggregates in differentiated services networks

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Journal of Network and Systems Management 2001年第3期9.0卷 267-291页

作者： Kim, Jae-Young Hong, James Won-Ki Choi, Tae-Sang Department of Computer Science and Engineering Pohang University of Science and Technology Internet Architecture Team Internet Technology Department Electronics and Telecommunications Research Institute Dept. of Computer Science and Engineering POSTECH Pohang South Korea IEEE KICS KNOM

Differentiated Services (DiffServ), which are currently being standardized in the IETF DiffServ working group, is a solution that can provide different qualities of service to different network users. DiffServ aggregates network packets at edge routers and forwards the aggregated packets to core routers with different priorities. In this paper, we propose methods using the SNMP framework for monitoring edge-to-edge traffic aggregates in a DiffServ domain, which consists of a set of DiffServ-enabled routers. In order to manage each DiffServ router, we have analyzed the DiffServ MIB and instrumented it in the router. Further, we propose monitoring behaviors of edge-to-edge traffic aggregates by combining topology and performance information from MIB II and DiffServ MIB. Construction procedures and graphical representation of the edge-to-edge traffic aggregates are explained in detail. We also extend our efforts to implement a DiffServ domain monitoring system that monitors a set of DiffServ-enabled routers and traffic aggregates between every edge router pair. We believe that the proposed monitoring methods can serve as useful building blocks for managing DiffServ networks. © 2001 Plenum Publishing Corporation.

关键词： End-to-End Qos Monitoring Internet QoS Management Network Management SNMP Manager and Agent

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High-performance computing in remotely sensed hyperspectral imaging: The pixel purity index algorithm as a case study 20

High-performance computing in remotely sensed hyperspectral ...

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20th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2006

作者： Plaza, Antonio Valencia, David Plaza, Javier Computer Architecture and Technology Section Computer Science Department University of Extremadura Avda. de la Universidad s/n E-10071 Caceres Spain

ISBN: (纸本)1424400546

The incorporation of last-generation sensors to airborne and satellite platforms is currently producing a nearly continual stream of high-dimensional data, and this explosion in the amount of collected information has rapidly created new processing challenges. For instance, hyperspectral imaging is a new technique in remote sensing that generates hundreds of spectral bands at different wavelength channels for the same area on the surface of the Earth. The price paid for such a wealth of spectral information available from latest-generation sensors is the enormous amounts of data that they generate. In recent years, several efforts have been directed towards the incorporation of high-performance computing (HPC) models in remote sensing missions. This paper explores three HPC-based paradigms for efficient information extraction from remote sensing data using the Pixel Purity Index (PPI) algorithm (available from the popular Kodak's Research Systems ENVI software) as a case study for algorithm optimization. The three considered approaches are: 1) Commodity cluster-based parallel computing;2) Distributed computing using heterogeneous networks of workstations;and 3) FPGA-based hardware implementations. Combined, these parts deliver an excellent snapshot of the state-of-the-art in those areas, and offer a thoughtful perspective on the potential and emerging challenges of adapting HPC models to remote sensing problems. © 2006 IEEE.

关键词： Sensors

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Parallel morphological processing of hyperspectral image data on heterogeneous networks of computers 20

Parallel morphological processing of hyperspectral image dat...

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20th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2006

作者： Plaza, Antonio J. Computer Architecture and Technology Section Computer Science Department University of Extremadura Avda. de la Universidad s/n E-10071 Caceres Spain

ISBN: (纸本)1424400546

Recent advances in space and computer technologies are revolutionizing the way remotely sensed data is collected, managed and interpreted. The development of efficient techniques for transforming the massive amount of collected data into scientific understanding is critical for space-based Earth science and planetary exploration. Although most currently available parallel processing strategies for hyperspectral image analysis assume homogeneity in the computing platform, heterogeneous networks of computers represent a very promising cost-effective solution expected to play a major role in the design of high-performance computing platforms for many on-going and planned remote sensing missions. This paper explores techniques for mapping morphological hyperspectral analysis algorithms, characterized by their scalability and sub-pixel accuracy, onto heterogeneous parallel computers. Important aspects in algorithm design are illustrated by using both homogeneous and heterogeneous parallel computing facilities available at NASA 's Goddard Space Flight Center and University of Maryland. Experiments reveal that heterogeneous networks of workstations represent a source of computational power that is both accessible and applicable in many remote sensing studies. © 2006 IEEE.

关键词： Parallel processing systems

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From AUTOSAR models to co-simulation for MiL-testing in the automotive domain

From AUTOSAR models to co-simulation for MiL-testing in the ...

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5th IEEE International Conference on Software Testing, Verification and Validation, ICST 2012

作者： Mews, Marcus Svacina, Jaroslav Weißleder, Stephan Department of Software Engineering and Theoretical Computer Science Technische Universität Berlin Germany Fraunhofer-Institute for Computer Architecture and Software Technology FIRST Berlin Germany

ISBN: (纸本)9780769546704

Models in testing are important for describing, understanding, and managing tests. In the automotive domain, AUTOSAR is an important standard to model components of electronic control units. AUTOSAR, however, lacks information about tests or test scenarios. Early testing in the automotive domain is often done by Model-in-the-Loop simulation. Simulations of several components are run in different environments, each. Thus, they need to be connected (co-simulated) for integration testing of these components, e.g., via simulator coupling. This paper is focused on closing the gap between AUTOSAR models and co-simulation-based test scenarios that use simulator coupling. Our main contribution is the definition of a modeling language to describe test environments. The instances of this language can be derived from existing AUTOSAR models and can also be used to automatically generate co-simulation-based test environments. Furthermore, we provide a workflow to integrate this model in the engineering process and an experiment report to demonstrate the applicability and the advantages of the approach. © 2012 IEEE.

关键词： Integration testing

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Energy-Time Profiling for Machine Learning Methods to EEG Classification 1st

Energy-Time Profiling for Machine Learning Methods to EEG Cl...

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1st International Conference on Bioengineering and Biomedical Signal and Image Processing, BIOMESIP 2021

作者： Gómez-López, Juan Carlos Escobar, Juan José González, Jesús Gil-Montoya, Francisco Ortega, Julio Burmester, Mike Damas, Miguel Department of Computer Architecture and Technology CITIC University of Granada Granada Spain Department of Engineering University of Almería Almería Spain Department of Computer Science Florida State University Tallahassee United States

ISBN: (纸本)9783030881627

The Electroencephalography discipline studies a type of signals called Electroencephalograms (EEGs), which represent the electrical activity of different parts of the brain. EEGs are composed of a massive number of features that could be used to create an intelligent recognition system. Nevertheless, the high number of available features difficult the correct classification of the signals as most of them do not contain relevant information. The use of Feature Selection (FS) techniques allows the reduction of the number of features by extracting a reduced but powerful feature subset. Afterwards, the problem can be addressed by using both the reduced features along with classification methods. In this sense, this work proposes a comparison of five supervised classifiers to solve an Electroencephalography problem in the context of Motor Imagery-based BCI tasks. The predictive models are evaluated in terms of classification rate and performance (execution time and energy consumption), with the idea of determining which alternative offers the best trade-off among all the objectives. © 2021, Springer Nature Switzerland AG.

关键词： Classification (of information)

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Towards more efficient practices and methods for ABET accreditation

Towards more efficient practices and methods for ABET accred...

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2010 ASEE Annual Conference and Exposition

作者： Milanovic, Ivana Eppes, Tom Department of Mechanical Engineering College of Engineering Technology and Architecture University of Hartford United States Department of Electrical and Computer Engineering College of Engineering Technology and Architecture University of Hartford United States

For many institutions, maintaining ABET accreditation(s) requires a significant investment of faculty and financial resources. This is especially the case since the technology Criteria 2000 were introduced requiring a greater emphasis on continuous improvement processes and outcome-based assessment. With each review cycle, the standards for demonstrating compliance are raised;consequently, the effort required to plan, prepare and follow-up on general visits places an increasing burden on programs, departments and colleges. This paper discusses the means, methods and techniques developed to efficiently deploy departmental and program resources on small undergraduate institutions. Our College maintains nine accreditations with both the technology and the Engineering Accreditation Commissions of ABET. The following practices have been put into place to maximize productivity: (1) prime movers lead, plan and coordinate the process, (2) standardized templates are employed, (3) deliverables are assigned and shared by faculty, (4) useful content is sourced from all programs and (5) faculty are supported with 'how to' instructions, examples and assessment tools. Our approach which encompasses process, methods and tools improves resource efficiency within and across departments. For high level materials, a consistent format is essential for strategic plans, continuous improvement, educational objectives, program outcomes and assessment plans. Additional leverage is gained by standardizing documentation of course improvements, capstone projects and faculty development. Common materials that describe cocurricular multidisciplinary activities and shared facilities are prepared and disseminated at the College level. The purpose of this paper is to present the specifics of our approach and lessons learned from the latest general visit along with recommendations for future improvements. © American Society for Engineering Education, 2010.

关键词： Accreditation

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