We introduce a new connection between formal language theory and proof theory. One of the most fundamental proof transformations in a class of formal proofs is shown to correspond exactly to the computation of the lan...
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Biometrics are techniques for automatically identifying and authenticating an individual based on his physiological or behavioral characteristics. Hand vein is one of the biometric modalities. Hand vein check measures...
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ISBN:
(纸本)9781467328005;9781467327992
Biometrics are techniques for automatically identifying and authenticating an individual based on his physiological or behavioral characteristics. Hand vein is one of the biometric modalities. Hand vein check measures the shape and size of veins in the back of the hand in a grayscale image. In this paper, hybrid compression technique is applied on ninety hand vein images. this hybrid technique is combining the advantages of lossless techniques and lossy techniques. Only the essential information is selected and compressed using lossless technique, and nonessential information is compressed using lossy technique. the observed parameters are compression ratio (CR), total compression time (TCT), mean square error (MSE), and peak signal to noise ratio (PSNR). the goal is to maximize the CR while preserving images' information. this is acheived using object segmentation procedure and quad tree decomposition (QTD) as preprocessing steps for the compression process. Applying the hybrid technique on the dataset images results in a CR in the range of 89.56%.
LabVIEW™ is a visual programming environment for data acquisition, instrument control and industrial automation. this article presents LVAD, a graphically programmed implementation of forward mode Automatic Differenti...
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It is known that every multigraph with an even number of edges has an even orientation (i.e., all indegrees are even). We study parity constrained graph orientations under additional constraints. We consider two types...
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this paper presents an extension of the well-known trapezoidal (bilinear) integration rule, that in the present work is applied to the numerical evaluation of fractional-order integrals. Particularly, this approximati...
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ISBN:
(纸本)9781467345057
this paper presents an extension of the well-known trapezoidal (bilinear) integration rule, that in the present work is applied to the numerical evaluation of fractional-order integrals. Particularly, this approximation is exploited to derive viable numerical algorithms addressing two distinct problems: i) simulation of Linear Time-Invariant (LTI) Commensurate Fractional Order Systems (CFOS);ii) non-recursive parameter estimation in LTI-CFOS. More precisely, the problem of non-recursive parameter estimation is addressed in two different scenarios. the first one is when the commensurate order of the CFOS is known in advance, while the second, more general, one is that in which the commensurate order is unknown and is to be estimated. the effectiveness of the proposed methods is illustrated by numerical examples.
In this paper, we propose several integer programming approaches with a polynomial number of constraints to formulate and solve the minimum connected dominating set problem. Further, we consider boththe power dominat...
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the main aim of this paper is to point out that the agent cooperation based on supervision can be utilized also in crisis situations. the approach is applied to an evacuation of an endangered area (EA). the supervisor...
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Bayesian networks are one of the most powerful tools for the design of expert systems located in an uncertainty framework (probabilistic expert system). We have studied the relationships between social structure, land...
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ISBN:
(纸本)9788890357428
Bayesian networks are one of the most powerful tools for the design of expert systems located in an uncertainty framework (probabilistic expert system). We have studied the relationships between social structure, land use and water flows in two Spanish catchments using discrete Bayesian networks. the aim was to predict how social changes influence both land use and green and blue water flows. Land use in the Nacimiento catchment is related to woodland and traditional agriculture, while land use in the Adra catchment comprises traditional and greenhouse agriculture. the socioeconomic variables selected were emigration rate, immigration rate, and the proportion of people older than 65 (p65). Green and blue water flows were calculated using the BalanceMED hydrological model. Data were discretized into three intervals using the Equal Frequency method and a Bayesian network was trained for each catchment. We studied two scenarios of social evolution: emigration and ageing;and immigration. the results indicated that in the Nacimiento catchment, social changes have little influence on changes in land use and water flows. the network for the Adra catchment showed the strong influence that social change plays on land use and water flow. the increase in emigration rates and p65, implies a decrease in immigration rate, an increase in woodland uses and a decrease in agricultural uses. In this context, non-productive green water flow decreased. If there were an increase in immigration rate, emigration rate and p65 would decrease;woodland uses would decrease and greenhouse and irrigated land would increase. therefore, non-productive green water flows and consumptive blue water would increase. these results highlight that the Nacimiento catchment has more resilience than the Adra catchment.
this paper presents a multi-scale data analytics approach for modeling the U.S. healthcare system as an enterprise. the U.S. healthcare enterprise encompasses public and private entities with significant government in...
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ISBN:
(纸本)9781467307499
this paper presents a multi-scale data analytics approach for modeling the U.S. healthcare system as an enterprise. the U.S. healthcare enterprise encompasses public and private entities with significant government involvement in policies and programs that have widespread interactions and effects at all levels of the system;In other words, the U.S. healthcare system is a complex adaptive system. As such, integrated holistic data analytical methods are needed to understand the enterprise-wide interactions and outcomes. An enterprise systems engineering (ESE) approach is applied to organize diverse data sets and perform integrative analyses of patient populations, health services, providers, facilities, technology, insurers, pharmaceuticals, research, and the U.S. economy. Hybrid models are applied to the ESE of health services and proposed interventions to affect outcomes and costs. Type 2 diabetes management is used as a case study with selected policy and technology interventions to deal withthe lifetime complications and consequences of this condition. the hybrid modeling structure explores agent-based methods to portray the movement of patients in the state-space, systems dynamics to capture policy and programmatic influences, discrete event methods to describe sequential service processes, and economic analysis methods to capture costs and impacts on the healthcare enterprise in the context of the overall economy. the paper addresses the need for an enterprise-level system-of-systems (SoS) approach to organize the vast and diverse data sets published by various agencies into an open-source data analytic framework. the framework describes the healthcare enterprise to support the comprehensive analysis of the impacts of policies and programs across the many dimensions and scales. Policy and programmatic areas of interest include insurer coverage decisions for new or modified health services, new technologies for diagnostic, therapeutic, and preventive services, a
the proceedings contain 42 papers. the special focus in this conference is on Methods in Scientific Computing. the topics include: Markov bridges, bisection and variance reduction;upper bounds in discrepancy theory;en...
ISBN:
(纸本)9783642274398
the proceedings contain 42 papers. the special focus in this conference is on Methods in Scientific Computing. the topics include: Markov bridges, bisection and variance reduction;upper bounds in discrepancy theory;entropy, randomization, derandomization, and discrepancy;asymptotic equivalence between boundary perturbations and discrete exit times;stochastic approximation of functions and applications;on figures of merit for randomly-shifted lattice rules;a study of the efficiency of exact methods for diffusion simulation;polynomial lattice point sets;liberating the dimension for function approximation and integration;a component-by-component construction for the trigonometric degree;scrambled polynomial lattice rules for infinite-dimensional integration;geometric and statistical properties of pseudorandom number generators based on multiple recursive transformations;computing Greeks using multilevel path simulation;weight Monte Carlo method applied to acceleration oriented traffic flow model;new inputs and methods for Markov chain quasi-Monte Carlo;extensions of Atanassov's methods for halton sequences;applicability of subsampling bootstrap methods in Markov chain Monte Carlo;QMC computation of confidence intervals for a sleep performance model;options pricing for several maturities in a jump-diffusion model;enumerating quasi-Monte Carlo point sequences in elementary intervals;spatial/angular contributon maps for improved adaptive Monte Carlo algorithms;hybrid function systems in the theory of uniform distribution of sequences;an intermediate bound on the star discrepancy;parallel quasi-Monte Carlo integration by partitioning low discrepancy sequences;quasi-Monte Carlo progressive photon mapping;value Monte Carlo algorithms for estimating the solution to the coagulation equation;numerical simulation of the drop size distribution in a spray;nonasymptotic bounds on the mean square error for MCMC estimates via renewal techniques;exact simulation of occupation times;ra
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