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International Conference on Advanced Information Networking and Applications Workshops (AINAW)

作者： Edison Pignaton de Freitas Tales Heimfarth Ivayr Farah Netto Carlos Eduardo Pereira Armando Morado Ferreira Flavio Rech Wagner Tony Larsson IDE Halmstad University Halmstad Sweden Institute of Informatics Federal University of Rio Grande do Sul Porto Alegre Brazil Computer Science Department Federal University of Lavras Lavras Brazil Electrical Engineering Department Federal University of Rio Grande do Sul Porto Alegre Brazil Defense Engineering Graduate Program Military Institute of Engineering Rio de Janeiro Brazil

Node failures in Wireless Sensor Networks composed by static sensor nodes are common due to the nature of the sensor devices and the usually harsh environments in which they are deployed. Node failures can diminish the performance of the network as a whole, thus affecting its functionality in delivering the desired services. For instance, significant regions can become uncovered due to failure of several nearby nodes. This paper reports a study about the use of mobile sensor nodes acting in cooperation with static ones in order to fill gaps created by faulty static nodes. The proposed fault handling mechanism presents alternative policies with pros and cons, depending on the user priorities imposed to the system and the occurrence of failures. A discussion about this topic is presented based on results obtained by simulation of the proposed mechanisms.

关键词： Wireless sensor networks Mobile communication Surveillance Redundancy Sensors Proposals

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Observation of exclusively He-induced H emission in cooled laser plasma

Observation of exclusively He-induced H emission in cooled l...

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作者： Lie, Z.S. Niki, H. Kagawa, K. Tjia, May On Hedwig, R. Pardede, M. Jobiliong, E. Suliyanti, M.M. Abdulmadjid, S.N. Kurniawan, K.H. Program of Nuclear Power and Energy Safety Engineering Graduate School of Engineering Fukui University Fukui 910-8507 Japan Department of Physics Faculty of Education and Regional Studies Fukui University 9-1 bunkyo 3-chome Fukui 910-8507 Japan Physics of Magnetism and Photonics Research Group Faculty of Mathematics and Natural Sciences Bandung Institute of Technology 10 Ganesha Bandung 40132 Indonesia Department of Computer Engineering Bina Nusantara University 9 K.H. Syahdan Jakarta 14810 Indonesia Department of Electrical Engineering University of Pelita Harapan 1100 M.H. Thamrin Boulevard Lippo Vilage Tangerang 15811 Indonesia Industrial Engineering Department University of Pelita Harapan 1100 M.H. Thamrin Boulevard Lippo Vilage Tangerang 15811 Indonesia Research Center for Physics Indonesian Institute of Sciences Kawasan PUSPIPTEK Serpong Tangerang Selatan 15314 Banten Indonesia Research Center of Maju Makmur Mandiri Foundation 40/80 Srengseng Raya Jakarta 11630 Indonesia

An experiment was performed for the observation of H emission induced in a cooled laser-induced atmospheric pressure gas plasma of He atoms in their metastable excited state. The strong H emission detected clearly established, to the exclusion of other well known major excitation processes, the exclusive contribution of the He-induced excitation (HIE) mechanism. The process is suggested to take place by means of energy transfer from the excited He atoms to the H atoms via Penning collision induced ionization involving electron exchange. The result further shows that this mechanism may also work for elements other than H and thereby strongly suggests the use of ambient He gas to broaden and complement the applications of standard laser-induced breakdown spectroscopy. © 2011 American Institute of Physics.

关键词： Laser induced breakdown spectroscopy

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Evolving granular neural network for semi-supervised data stream classification

Evolving granular neural network for semi-supervised data st...

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2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010

作者： Leite, Daniel Costa, Pyramo Gomide, Fernando Department of Computer Engineering and Automation Faculty of Electrical and Computer Engineering University of Campinas Sao Paulo Brazil Graduate Program in Electrical Engineering Catholic University of Minas Gerais Brazil

ISBN: (纸本)9781424469178

In this paper we introduce an adaptive fuzzy neural network framework for classification of data stream using a partially supervised learning algorithm. The framework consists of an evolving granular neural network capable of processing nonstationary data streams using a one-pass incremental algorithm. The granular neural network evolves fuzzy hyperboxes and uses nullnorm based neurons to classify data. The learning algorithm performs structural and parametric adaptation whenever environment changes are reflected in input data. It needs no prior statistical knowledge about data and classes. Computational experiments show that the fuzzy granular neural network is robust against different types of concept drift, and is able to handle unlabeled examples efficiently. © 2010 IEEE.

关键词： Learning algorithms

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Granular approach for evolving system modeling

Granular approach for evolving system modeling

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13th International Conference on Information Processing and Management of Uncertainty, IPMU 2010

作者： Leite, Daniel Costa Jr., Pyramo Gomide, Fernando School of Electrical and Computer Engineering University of Campinas Brazil Graduate Program in Electrical Engineering Pontifical Catholic University of Minas Gerais Brazil

ISBN: (纸本)3642140483

In this paper we introduce a class of granular evolving system modeling approach within the framework of interval analysis. Our aim is to present an interval-based learning algorithm which develops both, granular and singular approximations of nonlinear nonstationary functions using singular data. The algorithm is capable of incrementally creating/adapting both model parameters and structure. These are key features in nonlinear systems modeling. In addition, interval analysis provides rigorous bounds on approximation errors, rounding errors, and on uncertainties in data propagated during computations. The learning algorithm is simple and particularly suited to process stream of data in real time. In this paper we focus on the foundations of the approach and on the details of the learning algorithm. An application concerning economic time series forecasting illustrates the usefulness and efficiency of the approach. © 2010 Springer-Verlag Berlin Heidelberg.

关键词： Learning algorithms

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Lung cancer diseases diagnostic asistance using Gray color analysis

Lung cancer diseases diagnostic asistance using Gray color a...

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International Conference on Computational Intelligence, Modelling and Simulation

作者： Paulus Gaol, Ford Lumban Graduate Program in Informatics Engineering Department of Computer Science Bina Nusantara University Jakarta Indonesia Faculty of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (纸本)9780769542621

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 deadly disease that prone to misdiagnose. In general, some practitioners tend to read cancer in x-ray rontgen image as tumor this could be fatal. To generate a diagnose, a general practitioner use three kind of examination i.e : patient History, Radiologic examination, phisical examination. In this paper, Gray color for image indexing and retrieval are investigated. The features are derived based on the statistical distribution of Harralick feature from image sample. By utilizing the proposed invariant features, the similarity measure between query and database images provides reliable retrieval results. © 2010 IEEE.

关键词： Diseases

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Size-dependent infiltration and optical detection of nucleic acids in nanoscale pores

Size-dependent infiltration and optical detection of nucleic...

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作者： Lawrie, Jenifer L. Jiao, Yang Weiss, Sharon M. Department of Electrical Engineering and Computer Science Interdisciplinary Graduate Program in Materials Science Vanderbilt University Nashville TN 37235 United States

Experiments and complimentary simulations are presented to demonstrate the size-dependent infiltration and detection of variable length nucleic acids in porous silicon with controllable pore diameters in the range of 15-60 nm. The pore diameter must be tuned according to target molecule size in order to most effectively balance sensitivity and size-exclusion. A quantitative relationship between pore size (15-60 nm), nucleic acid length (up to ~5.3 nm), and sensor response is presented with smallermolecules detected more sensitively in smaller pores as long as the pore diameter is sufficient to enable molecular infiltration and binding in the pores. The density of probe molecules on the pore walls and subsequent hybridization efficiency for targetmolecule binding are also reported and are shown to depend strongly on the method of infiltration as well as the target molecule size.© 2010 IEEE.

关键词： Porous silicon

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Magnetic resonance imaging of irreversible electroporation in tubers

Magnetic resonance imaging of irreversible electroporation i...

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12th Mediterranean Conference on Medical and Biological engineering and Computing, MEDICON 2010

作者： Hjouj, Mohammad Rubinsky, Boris Center for Bioengineering School of Computer Science Engineering Hebrew University of Jerusalem Israel Department of Mechanical Engineering Graduate Program in Biophysics University of California Berkeley United States

ISBN: (纸本)9783642130380

Purpose: A preliminary study on the magnetic resonance (MRI) characteristics of (vegetable) tissue NTIRE is an emerging minimally invasive surgery technique for tissue ablation in which, microsecond, high electrical field pulses form permanent nano-scale defects in the cell membrane. Materials and Methods: The potato is used as the simplest conceivable first order tissue model for studying the MRI characteristics of electroporation, because while made of structured cells it does not have blood flow, it is relatively homogeneous and cell damage is readily visible through a natural oxidation process of the intracellular enzymes.. Clinical NTIRE sequences were applied to potato tubers and MRI sequences of the treated area were compared with colorimetric photographs. Results: A comparison of T1 weighted, T2 weighted, fluid attenuation inversion recovery (FLAIR) and short TI inversion recovery (STIR) of NTIRE shows that T1 weighted signals, such as FLAIR, produce brighter images of the treated areas. In contrast the images of the treated areas are completely lost with liquids enhancing and fat eliminating sequences, such as STIR. Conclusion: MRI can image tissue treated by NTIRE. A possible explanation for the findings is that by producing nanoscale defects in the cell membrane lipid bilayer, NTIRE causes an enhanced signal from the cell membrane lipids that in the treated cells are not bound anymore in a restrictive liquidgel membrane structure and have more degrees of freedom. © 2010 International Federation for Medical and Biological engineering.

关键词： Magnetic resonance imaging

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A fuzzy inference system to determine the number of clones in the clonal selection algorithm

A fuzzy inference system to determine the number of clones i...

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2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010

作者： Carraro, Luiz Antonio De Castro, Leandro Nunes De Ré, Angelita Maria Computer and Informatics Faculty Graduate Program in Electrical Engineering Mackenzie University São Paulo Brazil Computer Science Department State University of West-Center Parana Guarapuava Brazil

ISBN: (纸本)9781424473762

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 binding of antigens and antibodies. As an immune response can be elicited even when the binding between an antigen and an antibody is not perfect, an approximate binding might suffice, and a Fuzzy Logic mechanism might be the most appropriate mechanism to control such process. This paper presents a novel hybrid model based on concepts of Immune and Fuzzy Systems with applications to pattern recognition problems. The preliminary results obtained here suggest the proposed model is a promising pattern recognition tool. © 2010 IEEE.

关键词： Fuzzy systems

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Classification of musical styles using liquid state machines

Classification of musical styles using liquid state machines

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2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010

作者： Ju, Han Xu, Jian-Xin Vandongen, Antonius M.J. Program for Neuroscience and Behavioral Disorders Duke-NUS Graduate Medical School Singapore Singapore Department of Electrical and Computer Engineering National University of Singapore Singapore

ISBN: (纸本)9781424469178

Music Information Retrieval (MIR) is an interdisciplinary field that facilitates indexing and content-based organization of music databases. Music classification and clustering is one of the major topics in MIR. Music can be defined as 'organized sound'. The highly ordered temporal structure of music suggests it should be amendable to analysis by a novel spiking neural network paradigm: the liquid state machine (LSM). Unlike conventional statistical approaches that require the presence of static input data, the LSM has a unique ability to classify music in real-time, due to its dynamics and fading-memory. This paper investigates the performance of an LSM in classifying musical styles (ragtime vs. classical), as well as its ability to distinguish music from note sequences without temporal structure. The results show that the LSM performs admirably in this task. © 2010 IEEE.

关键词： Music

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3-3 Multimedia information hiding

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Journal of the National Institute of Information and Communications Technology 2011年第1-2期58卷 183-194页

作者： Takizawa, Osamu Sonoda, Kotaro Yoshioka, Katsunari Suzuki, Jouji Disaster Management and Mitigation Group Japan Security Fundamentals Group Information Security Research Center Japan Computer and Information Science Program Faculty of Engineering Nagasaki University Japan Disaster Management and Mitigation Group Information Security Research Center Japan Interdisciplinary Research Center Yokohama National University Japan Network Security Incident Response Group Information Security Research Center Japan Technology Transfer Promotion Office Outcome Promotion Department Japan Graduate School Research Institute of Environment and Information Sciences Yokohama National University Japan

We research the multimedia information hiding (MIH) which is a technology to overlay digital information on multimedia contents such as picture, sound, document, etc. As application to disaster management of MIH, we have developed a new technology called "PAIH" (Public Address Information Hiding) which is a technology to overlay information such as position or destination on siren sound of urgent vehicles. Siren sound is allowed to degrade of sound quality, but PAIH is required to decode correct information from siren sound with pitch shift (Doppler effect) or under noisy environment.

关键词： Disasters

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