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5th ACM Workshop on Exploiting Semantic Annotations in information Retrieval, ESAIR 2012 - Co-located with CIKM 2012

作者： Das, Amitava Gambäck, Björn Dpt. of Computer and Information Science Norwegian University of Science and Technology Sem Sælands vei 7-9 7094 Trondheim Norway

ISBN: (纸本)9781450317177

A system performing sentiment analysis needs some prior knowledge which can be acquired, for example, by manual annotation only or by expanding a human-annotated sentiment lexicon by automatic means. However, users are seldom interested in all sentimental aspects at once, but rather look for opinion changes of some person (\Who) during some time period (\When) and depending upon \What, \Where or \Why something happened. The paper describes the work necessary to obtain and utilize such 5W annotations.

关键词： Knowledge management

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EEG time series learning and classification using a hybrid forecasting model calibrated with GVNS

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Electronic Notes in Discrete Mathematics 2017年 58卷 79-86页

作者： Coelho, V.N. Coelho, I.M. Coelho, B.N. Souza, M.J.F. Guimarães, F.G. Luz, E.J. da S. Barbosa, A.C. Coelho, M.N. Netto, G.G. Costa, R.C. Pinto, A.A. Figueiredo, A. de P. Elias, M.E.V. Filho, D.C.O.G. Oliveira, T.A. Grupo da Causa Humana Ouro Preto Brazil Instituto de Pesquisa e Desenvolvimento de Tecnologias Ouro Preto Brazil Dpt. of Computer Science at Universidade Estadual do Rio de Janeiro Brazil Dpt. of Computer Science at Universidade Federal de Ouro Preto Brazil Dpt. of Electrical Engineering at Universidade Federal de Minas Gerais Brazil

Brain activity can be seen as a time series, in particular, electroencephalogram (EEG) can measure it over a specific time period. In this regard, brain fingerprinting can be subjected to be learned by machine learning techniques. These models have been advocated as EEG-based biometric systems. In this study, we apply a recent Hybrid Focasting Model, which calibrates its if-then fuzzy rules with a hybrid GVNS metaheuristic algorithm, in order to learn those patterns. Due to the stochasticity of the VNS procedure, models with different characteristics can be generated for each individual. Some EEG recordings from 109 volunteers, measured using a 64-channels EEGs, with 160 HZ of sampling rate, are used as cases of study. Different forecasting models are calibrated with the GVNS and used for the classification purpose. New rules for classifying the individuals using forecasting models are introduced. Computational results indicate that the proposed strategy can be improved and embedded in the future biometric systems. © 2017 Elsevier B.V.

关键词： Biometrics Brain fingerprinting Electroencephalogram Forecasting and Time series Variable Neighborhood Search

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Issues in expressing metadata application profiles with description logics and OWL 2 10

Issues in expressing metadata application profiles with desc...

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Proceedings of the 6th International Conference on Semantic Systems

作者： Koutsomitropoulos, Dimitrios A. Solomou, Georgia D. High Performance Information Systems Laboratory Computer Engineering and Informatics Dpt. University of Patras 26500 Patras-Rio Greece

ISBN: (纸本)9781450300148

This paper gives an account of how traditional metadata application profiles are related to Web ontologies and Description Logics. It is shown that metadata profiles can be formalized into Description Logics;oddly enough though, OWL 2, with its current expressivity, is shown to be inadequate for this purpose. First, we give an overview of the recent proposal for representing metadata profiles using the notion of Description Set Profiles and XML Schema. We point out the necessity of an additional representation scheme, using also ontological languages. Following, we introduce a possible translation of Description Set Profiles to Description Logics and identify the required expressivity characteristics that are essential for such a translation. The relationship of this representation to OWL Integrity Constraints is also examined. Finally, we discuss what expense do these characteristics put on to the complexity of reasoning. © 2010 ACM.

关键词： XML

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Active flow control for external aerodynamics: From micro air vehicles to a full aircraft in stall 4

Active flow control for external aerodynamics: From micro ai...

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4th Madrid Summer School on Turbulence

作者： Lehmkuhl, Oriol Lozano-Durán, Adrián Rodriguez, Ivette Dpt. of Computer Applications in Science and Engineering Barcelona Supercomputing Center Spain Center for Turbulence Research Stanford University United States Dpt. of Heat Engines Universitat Politecnica de Catalunya Spain

We investigate the aerodynamic performance of active flow control of airfoils and wings using synthetic jets with zero net-mass flow. The study is conducted via wall-resolved and wall-modeled large-eddy simulation using two independent CFD solvers: Alya, a finite-element-based solver;and charLES, a finite-volume-based solver. Our approach is first validated in a NACA4412, for which numerical and experimental results are already available in the literature. The performance of synthetic jets is evaluated for two flow configurations: a SD7003 airfoil at moderate Reynolds number with laminar separation bubble, which is representative of Micro Air Vehicles, and the high-lift configuration of the JAXA Standard Model at realistic Reynolds numbers for landing. In both cases, our predictions indicate that, at high angles of attack, the control successfully eliminates the laminar/turbulent recirculations located downstream the actuator, which increases the aerodynamic performance. Our efforts illustrate the technology-readiness of large-eddy simulation in the design of control strategies for real-world external aerodynamic applications. © 2020 IOP Publishing Ltd. All rights reserved.

关键词： Large eddy simulation

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100% FTTx coverage is economically feasible even in rural 2 areas

100% FTTx coverage is economically feasible even in rural 2 ...

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2012 17th European Conference on Networks and Optical Communications, NOC 2012

作者： Sandström, Hans Eric Sundin, Per Erixon, Mats Dpt. of Information Technology and Media - ITM MiUn -Mid Sweden University Sundsvall Sweden Atellus AB Hudiksvall Sweden Dpt. of Computer Science and Communication - CSC KTH - Royal Institute of Technology Stockholm Sweden

ISBN: (纸本)9781467309516

Fiber to the end-user (FTTx) has long been considered to be too expensive to be deployed to cover all end users especially those living in the far rural areas. The conclusion after working with some municipalities in Jamtland is now that FTTx is both technically and economically feasible. The architecture tested is an IP-Only broadband network capable of carrying end-user services up to 10/100Gbps to any point in the network. Building such a broadband infrastructure, is feasible mostly due to the fact that cost of standard IP-network components are diminishing and by utilizing novel network designs made possible because the limitations of the old Telecom infrastructure no longer apply and lastly that the take rate of permanent households is close to 100% due to the fact that the copper networks is removed. © 2012 IEEE.

关键词： Rural areas

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Improving the quality of Ring Oscillator PUFs on FPGAs

Improving the quality of Ring Oscillator PUFs on FPGAs

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5th Workshop on Embedded Systems Security, WESS '10

作者： Merli, Dominik Stumpf, Frederic Eckert, Claudia Fraunhofer Institute for Secure Information Technology Munich Germany Dpt. of Computer Science Technische Universität München Munich Germany

ISBN: (纸本)9781450300780

Physical Unclonable Functions (PUFs) based on Ring Oscillators (ROs) are a promising primitive for FPGA security. However, the quality of their implementation depends on several design parameters. In this paper, we show that ring oscillator frequencies strongly depend on surrounding logic. Based on these findings, we propose a strategy for improving the quality of RO PUF designs by placing and comparing ROs in a chain-like structure. We also show that an increased RO runtime and RO disabling has a clear positive effect on the quality of a RO PUF. We implemented a RO PUF key generation system on an FPGA using our design strategy. Our results clearly indicate that our proposed design strategy can significantly improve the quality of a RO PUF implementation. © 2010 ACM.

关键词： Field programmable gate arrays (FPGA)

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Designing multiagent decision support system the case of transportation management

Designing multiagent decision support system the case of tra...

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Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2004

作者： Ossowski, S. Fernández, A. Serrano, J.M. Hernández, J.Z. García-Serrano, A.M. Pérez-De-La-Cruz, J.L. Belmonte, M.V. Maseda, J.M. Universidad Rey Juan Carlos Dpt. of Computer Science Univ. Politécnica de Madrid Dpt. of Artificial Intelligence Universidad de Málaga ETSI Informática LABEIN Technological Centre Information Society Unit

ISBN: (纸本)1581138644

The various aspects of the application of multiagent decision support system (DSS) for transportation management are discussed. The DSS prototype assists operators in their management task, helping them to configure consistent control plans for the whole road networks. For the prototype, a simulator was implemented, which, based on the actual bus schedules, emulates the exploitation support system. The implementation of the prototype, that required the integration of various software technologies and tools, has been initially complex and required suitable amount of programming work.

关键词： Decision support systems

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Intelligent and semantic real-time process of the Greek LOD for enhancing citizen awareness in public expenditures

Intelligent and semantic real-time process of the Greek LOD ...

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13th International Conference on Web information Systems engineering, WISE 2012

作者： Vafopoulos, M. Meimaris, M. Papantoniou, A. Anagnostopoulos, I. Xidias, I. Alexiou, G. Vafeiadis, G. Loumos, V. School of Electrical and Computer Engineering National Technical University of Athens Greece Computer Science and Biomedical Informatics Dpt. University of Central Greece Greece

ISBN: (纸本)9783642350627

The provision of publicly available Open Data targets to provide transparency in several public sector decisions and actions. However, this information is served massively and in different forms - mostly due to different bureaucratic procedures- while its diffusion does not occur at regular or at least generally predictable time intervals. Thus, even though the information is available by the involved public sectors and enterprises. citizens are overwhelmed from the size/inconsistency of the information they deal with. In this paper, we present a publicly accessible Web point (***/), which aims to promote transparency and enhance citizen awareness regarding public spending in Greece. The information is based on intelligent and semantic real-time processed open data that are derived from the open API of "Diavgeia" (Clarity) Program (***/en/) and TAXIS - Taxation information System (***/), while it is served through easily consumed visualization charts and diagrams. © 2012 Springer-Verlag.

关键词： Transparency

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Classifying unstructured data into natural language text and technical information 11

Classifying unstructured data into natural language text and...

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11th International Working Conference on Mining Software Repositories, MSR 2014

作者： Merten, Thorsten Mager, Bastian Bürsner, Simone Paech, Barbara Bonn-Rhein-Sieg University of Applied Sciences Dpt. of Computer Science Germany University of Heidelberg Software Engineering Group Germany

ISBN: (纸本)9781450328630

Software repository data, for example in issue tracking systems, include natural language text and technical information, which includes anything from log files via code snippets to stack traces. However, data mining is often only interested in one of the two types e.g. in natural language text when looking at text mining. Regardless of which type is being investigated, any techniques used have to deal with noise caused by fragments of the other type i.e. methods interested in natural language have to deal with technical fragments and vice versa. This paper proposes an approach to classify unstructured data, e.g. development documents, into natural language text and technical information using a mixture of text heuristics and agglomerative hierarchical clustering. The approach was evaluated using 225 manually annotated text passages from developer emails and issue tracker data. Using white space tokenization as a basis, the overall precision of the approach is 0.84 and the recall is 0.85.

关键词： Classification (of information)

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Leveraging protein-protein interactions in phenotype prediction through graph neural networks 21

Leveraging protein-protein interactions in phenotype predict...

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21st IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2024

作者： Smeriglio, Riccardo Rosell-Mirmi, Joana Radeva, Petia Abante, Jordi Universitat de Barcelona Dpt. of Physics Spain Politecnico di Torino Control and Computer Engineering Dpt. Turin Italy Headache Research Group Vall d'Hebron Institut de Recerca Catalonia Barcelona Spain Universitat de Barcelona Institute of Neurosciences Dpt. of Mathematics & Computer Science Catalonia Barcelona Spain Laboratory of Stem Cells & Regenerative Medicine Creatio Production & Validation Center of Advanced Therapies Spain Universitat de Barcelona Institute of Neurosciences Dpt. of Biomedical Sciences Spain Dpt. of Mathematics & Computer Science Catalonia Barcelona Spain

ISBN: (纸本)9798350356632

Current genotype-to-phenotype models, such as polygenic risk scores, only account for linear relationships between genotype and phenotype and ignore epistatic interactions, limiting the complexity of the diseases that can be properly characterized. Protein-protein interaction networks have the potential to improve the performance of the models. Moreover, interactions at the protein level can have profound implications in understanding the genetic etiology of diseases and, in turn, for drug development. In this article, we propose a novel approach for phenotype prediction based on graph neural networks (GNNs) that naturally incorporates existing protein interaction networks into the model. As a result, our approach can naturally discover relevant epistatic interactions. We assess the potential of this approach using simulations and comparing it to linear and other non-linear approaches. We also study the performance of the proposed GNN-based methods in predicting Alzheimer's disease, one of the most complex neurodegenerative diseases, where our GNN approach outperform state of the art methods. In addition, we show that our proposal is able to discover critical interactions in the Alzheimer's disease. Our findings highlight the potential of GNNs in predicting phenotypes and discovering the underlying mechanisms of complex diseases. © 2024 IEEE.

关键词： Prediction models

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