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International Conference on Complex, Intelligent and Software Intensive Systems, CISIS

作者： Marcin Piekarczyk Institute of Computer Science and Computer Methods Pedagogical University of Cracow Krakow Poland

The article presents the approach based on the usage of syntactic methods for the static analysis of handwritten signatures. The graph linguistic formalisms applied, such as the IE graph and ETPL(k) grammar, are characterised by considerable descriptive strength and a polynomial membership problem of the syntactic analysis. For the purposes of representing the analysed handwritten signatures, new hierarchical (two-layer) HIE graph structures based on IE graphs have been defined. The two-layer graph description makes it possible to take into consideration both local and global features of the signature. The usage of attributed graphs enables the storage of additional semantic information (in the form of a set of parameters) describing the properties of individual signature strokes. Information about the shapes of specimen signatures is presented in the form of a language based on random IE graphs and stochastic class ETPL(k) grammars, which makes it possible to take into consideration the natural variability of the shape of specimen signatures. The verification and recognition of a signature consists in analysing the affiliation of its graph description to the language describing the specimen database. Initial assessments display a precision of the method at a average level of about 17%.

关键词： Handwriting recognition Shape Polynomials Stochastic processes Hidden Markov models Biometrics Contracts Image converters Competitive intelligence Software systems

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Artificial Intelligence methods for Understanding Dynamic computer Tomography Perfusion Maps

Artificial Intelligence Methods for Understanding Dynamic Co...

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International Conference on Complex, Intelligent and Software Intensive Systems, CISIS

作者： Tomasz Hachaj Institute of Computer Science and Computer Methods Pedagogical University of Cracow Krakow Poland

In this article author presents novel approach for analyzing the meaning of brain perfusion maps generated with dynamic computer tomography treatment. With these methods it is possible to detect (if exists), describe position, measure, and state prognosis for brain tissues that are affected by ischemic or hemorrhagic lesions. The whole process is driven by number of image processing algorithms, medical knowledge about average perfusion values and knowledge about interpretation of visualized symptoms. The methods was implemented and tested on 75 triplets of medical images acquired from 30 different adult patients (man and woman) with suspicious of ischemia / stroke. Each triplet was consisted of perfusion CBF and CBV map and ¿plain¿ CT image (one of the image from perfusion treatment acquired before contrast arrival became visible). The algorithm response was compared to image description done to each case by radiologist. The hypothesis to verify was if there is any lesions in perfusion map and if the algorithm found correct position, description and prognosis for them (if the algorithm give a wrong answer for any of this condition the case was considered as ¿error¿). Total error rate (the proportion of error instances to all instances) of full automatic detection (without manual correction of position of brain symmetry axis) was 48.0% and total error rate of semi automatic detection results (with correction of position of brain symmetry axis) was 22.7%.

关键词： Artificial intelligence Tomography Lesions Biomedical imaging Error analysis Position measurement Hemorrhaging Image processing Visualization Medical tests

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Decision support systems in transport logistics

Decision support systems in transport logistics

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作者： Abramov, Alexander L. Kovtaniuk, Alexandra A. Mathematics and Computer Science Institute Far Eastern National University 27 Oktyabrskaya St. Vladivostok 690600 Russia Mathematics and Computer Science Institute Far Eastern National University Graduate of Faculty Mathematical Methods in Economy 27 Oktyabrskaya St. Vladivostok 690600 Russia

In this paper problems of transport logistics focused on organization of optimal transportation and storage of resources and products are discussed. These problems were reduced to the knapsack and bin packing problems. Different heuristic approaches for the mentioned problems are analyzed. The architecture of the decision support system containing the subsystem for solving optimal cargo loading problems on bases of the algorithms is present.

关键词： Decision support systems

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Towards Distributed and Adaptive Detection and Localisation of Network Faults

Towards Distributed and Adaptive Detection and Localisation ...

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Advanced International Conference on Telecommunications (AICT)

作者： Rebecca Steinert Daniel Gillblad Industrial Applications and Methods Lab (IAM) Swedish Institute of Computer Science Kista Sweden

ISBN: (纸本)9781424467488;9780769540214

We present a statistical probing-approach to distributed fault-detection in networked systems, based on autonomous configuration of algorithm parameters. Statistical modelling is used for detection and localisation of network faults. A detected fault is isolated to a node or link by collaborative fault-localisation. From local measurements obtained through probing between nodes, probe response delay and packet drop are modelled via parameter estimation for each link. Estimated model parameters are used for autonomous configuration of algorithm parameters, related to probe intervals and detection mechanisms. Expected fault-detection performance is formulated as a cost instead of specific parameter values, significantly reducing configuration efforts in a distributed system. The benefit offered by using our algorithm is fault-detection with increased certainty based on local measurements, compared to other methods not taking observed network conditions into account. We investigate the algorithm performance for varying user parameters and failure conditions. The simulation results indicate that more than 95% of the generated faults can be detected with few false alarms. At least 80% of the link faults and 65% of the node faults are correctly localised. The performance can be improved by parameter adjustments and by using alternative paths for communication of algorithm control messages.

关键词： Fault detection Probes Testing Delay estimation Parameter estimation Collaboration Costs Performance evaluation Communication industry computer industry

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Long-Term Adaptation and Distributed Detection of Local Network Changes

Long-Term Adaptation and Distributed Detection of Local Netw...

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2010 IEEE Global Telecommunications Conference GLOBECOM 2010

作者： Rebecca Steinert Daniel Gillblad Industrial Applications and Methods Laboratory (IAM) Swedish Institute of Computer Science Kista Sweden

We present a statistical approach to distributed detection of local latency shifts in networked systems. For this purpose, response delay measurements are performed between neighbouring nodes via probing. The expected probe response delay on each connection is statistically modelled via parameter estimation. Adaptation to drifting delays is accounted for by the use of overlapping models, such that previous models are partially used as input to future models. Based on the symmetric Kullback-Leibler divergence metric, latency shifts can be detected by comparing the estimated parameters of the current and previous models. In order to reduce the number of detection alarms, thresholds for divergence and convergence are used. The method that we propose can be applied to many types of statistical distributions, and requires only constant memory compared to e.g., sliding window techniques and decay functions. Therefore, the method is applicable in various kinds of network equipment with limited capacity, such as sensor networks, mobile ad hoc networks etc. We have investigated the behaviour of the method for different model parameters. Further, we have tested the detection performance in network simulations, for both gradual and abrupt shifts in the probe response delay. The results indicate that over 90% of the shifts can be detected. Undetected shifts are mainly the effects of long convergence processes triggered by previous shifts. The overall performance depends on the characteristics of the shifts and the configuration of the model parameters.

关键词： Adaptation model Delay Data models Probes Sensitivity Robustness

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Augmented reality interface for visualization of volumetric medical data

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Advances in Intelligent and Soft Computing 2010年 84卷 271-277页

作者： Hachaj, Tomasz Ogiela, Marek R. Institute of Computer Science and Computer Methods Pedagogical University of Cracow 2 Podchorazych Ave Kraków 30-084 Poland Institute of Automatics AGH University of Science and Technology 30 Mickiewicza Ave Kraków 30-059 Poland

ISBN: (纸本)9783642162947

Most of the publications in the field of augmented reality in medicine concentrates on developing new types of systems but not on optimization of speed or portability of existing ones. The intention of authors of this article is to fill this gap by showing a possibility of creating augmented reality interface for visualization of volumetric medical data for Windows OS environment that can be run on off - the - shelf computer and test its capability. Tests of the authors application was performed on three 3D models generated from computer tomography data stored in collection of DICOM files. Authors novel and efficient solution can be easily attached to nearly all medical application system running Windows OS and give medical personnel support of a new level by presenting more informative and realistic three dimensional visualizations for low cost. © 2010 Springer-Verlag Berlin Heidelberg.

关键词： Augmented reality

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Measuring the progress of reference model-based business process modeling

Measuring the progress of reference model-based business pro...

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2nd International Symposium on Services science, ISSS 2010 and 3rd International Conference on Business Process and Services Computing, BPSC 2010 - INFORMATIK 2010

作者： Koschmider, Agnes De La Vara, Jose Luis Sánchez, Juan Department of Computer Science University of Pretoria Pretoria 0002 South Africa Institute of Applied Informatics and Formal Description Methods Karlsruhe Institute of Technology Germany Centro de Investigación en Métodos de Producción de Software Universidad Politécnica de Valencia Spain

ISBN: (纸本)9783885792710

Business process modeling plays a major role in industry and academia. As a result, current research focuses on its assistance. Business process modeling is a time-consuming task and its effort is hard to predict, and a plethora of concepts exists for facilitating and improving it. A concept that has not been studied yet is prediction of the remaining effort of business process modeling. In this paper we tackle this issue and suggest a solution for measuring the progress of business process modeling. Our solution is based on the assumption that a reference model is given representing a best practice of a business process. In addition, a set of process variants exists for that reference model. Under these conditions, we propose two measurement approaches that base on the longest common subsequence algorithm and determine the effort required to complete business process modeling. The main benefit of the approaches is the possibility of effectively structuring and monitoring the development of business process modeling projects.

关键词： Systems engineering

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EEG phase synchronization and information flow during audio-visual stimulation

EEG phase synchronization and information flow during audio-...

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International Symposium on Applied sciences on Biomedical and Communication Technologies, ISABEL

作者： Michal Teplan Milan Paluš Martin Vejmelka dept. of theoretical methods Institute of Measurement Science SAS Bratislava Slovakia dept. of nonlinear modelling Institute of Computer Science CAS Praha Czech Republic

Phase synchronization and directionality of human EEG data recorded under influence of audio-visual stimulation were investigated. EEG data came from 6 healthy volunteers repeatedly exposed to 20 min stimulation that comprised intervals with steady stimulation at 4 and 17 Hz. Entrainment of the brain waves and phase synchronization both significantly increased during the stimulation in comparison to nonstimulating conditions across the whole cortex. Positive correlation of entrainment and phase synchronization was obtained. Directionality analysis suggests that applied methods may estimate direction of information flow from visual processing centers towards frontal cortex locations.

关键词： Synchronization Electroencephalography Electrodes Visualization Wavelet transforms Couplings

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Study on seismic imaging block modeling method

Study on seismic imaging block modeling method

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International Conference on Image Analysis and Signal Processing, IASP

作者： Meng Xiang-Bin Wei Zhi-Qiang Sui Zhi-Qiang Chu Jian Gui Lin Liu Ying-Ying Geophysical Methods Room of Geophysical Research Institute Geophysical Research Institute of Shengli Oil Field Dongying China Department of Computer Science and Technology Ocean University of China Qingdao China

Layer velocity modeling is not enough for high accuracy pre-stack imaging. But block velocity modeling may accurately describe complex subsurface geological structure. Through the research of seismic exploration block modeling method, this paper proposes a new practical workflow about block modeling, researches Delaunay triangulation algorithm, achieves surface structure geometrical modeling, and keeps the geometry and topology relationship, such as geologic horizon and fault. On the basis of surface structure triangulation meshes, this paper also researches the algorithms of curved surfaces intersection, subdivision, suture, united output and 3D Delaunay triangulation, realizes block geometric surface modeling and complicated geologic solid modeling, and overcomes the technology puzzle of the complicated structure block modeling.

关键词： Solid modeling Geology Sea surface Tin Image storage computer science Marine technology Oceans Petroleum Wire

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Multi objective optimization for piloting a Quality Management System: Study case

Multi objective optimization for piloting a Quality Manageme...

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2010 International Conference on System science and Engineering, ICSSE 2010

作者： Mahmoud, H. Ben Ketata, R. Romdhane, T. Ben Ahmed, S. Ben Dept. of Physics and Instrwnentation Engineering INSAT: National Institute of Applied Science and Technology Tunis Tunisia Dept. of Physics and Instrwnentation Engineering ICOS: Research Unit on Intelligent Control Design and Optimization of Complex System Tunis Tunisia Dept. of Physics and Instrumentation Engineering MOSIC Research Unit on Methods and Tools for Complex Computer Systems Tunis Tunisia

ISBN: (纸本)9781424464746

This paper presents a decision support tool for the effectiveness of a Quality Management System (QMS) in a company. To develop this tool, a new approach PAHP based on the combination of the Pareto Optimality Concept (Poq and the Analytical Hierarchy Process (AHP). This approach is used to model and optimize the multi-objective function of real company which presents a major problem for controlling the quality level of production. © 2010 IEEE.

关键词： Multiobjective optimization

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