A performance study considering several alternatives for the visualization of geographic information (GI) in on-demand web-based mapping systems focused primarily on server-side generation of SVG from data encoded in ...
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A performance study considering several alternatives for the visualization of geographic information (GI) in on-demand web-based mapping systems focused primarily on server-side generation of SVG from data encoded in Geography Markup Language (GML). In that context, a detailed performance comparison of GML to SVG transformation using several XML transformation technologies was carried out, including Java-based XSLT technologies, direct SAX implementations in both Java and C++, as well as high performance implementations using the recently released Intel XML Software Suite 1.0 and the new high performance XML technology based on parallel bit streams (Parabix). Other alternatives considered in the traditional 3-tier architecture for on-demand web-based mapping systems include the use of data parallel, AJAX-based architectures, as an alternative to traditional multi-threaded, server-side approaches in the generation of SVG map layers. the possibilities of using streaming SVG technologies and progressive rendering to reduce latency are also investigated. Whereas XSLT technologies were found to be competitive to direct implementation with SAX-based implementations within a factor of two, implementation using the high-performance Parabix framework offered the best performance and were found to offer a speed-up over worst case XSLT of well over an order of magnitude. this performance improvement is primarily due to the reduction of XML parsing cost using parallel bit stream technology, but care is required in using the framework in order to avoid other bottlenecks in the transformation process. For example, an initial C-based implementation on top of Parabix was found to have a significant remaining bottleneck in formatted output, which was eliminated by careful reimplementation. the client-side translation and scaling features of SVG were found to be of substantial value in addressing server-side performance. While the initial naive XSLT implementations performed transfor
Modern food industry has gone transformation from classical production concepts based on intensive manual work and off-line monitoring to a highly automated computer on-line controlled processes. the main focus in pro...
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ISBN:
(纸本)9789536207879
Modern food industry has gone transformation from classical production concepts based on intensive manual work and off-line monitoring to a highly automated computer on-line controlled processes. the main focus in process automation is on application of modern process analytical technologies (PAT) and computer models for analysis and synthesis of information from on-line sensor signals with basic engineering principles of heat, mass and momentum, chemical and biochemical reactions, and industrial microbiology. New trends in process information synthesis and analysis of complex multidimensional data are based on: chemometric methods, such as principal component analysis (PCA) and partial least squares (PLS);and artificial intelligence (AI) algorithms, such as artificial neural networks (ANN), and fuzzy logic inference. For incorporation of computer algorithms in model predictive control (MPC) needed are developments of mathematical and statistical models for prediction of future outputs of multivariate nonlinear systems over a finite time horizon based on a set on multivariate inputs. Development of accurate and robust multivariate models for food technologies represents the main challenge and is crucial for MPC applicability. Methodology of MPC requires determination of manipulative inputs by optimization of a control objective function with constraints on manipulative and state output variables. From a practical point of view, main advantage of MPC (and the reason for its industrial success) is its true multivariate structure and ability to handle systems with constraints in a systematic and transparent manner. From process management point of view, MPC control can support process operation in a flexible and dynamic way to meet changing market requirements. the MPC technology is used to steer processes closer to their physical limits to obtain a better economical result. Main opportunities of MPC are in process control for production of food with improved nutrition
In this paper, we present a theory for strategic decision making on group collaboration under temporary constraints for avoiding de-escalation moves. Group negotiation has two types of decision making: collaborative a...
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ISBN:
(纸本)9781605580463
In this paper, we present a theory for strategic decision making on group collaboration under temporary constraints for avoiding de-escalation moves. Group negotiation has two types of decision making: collaborative and competitive strategies. the collaborative strategy is a type of decision making under which any player in negotiation groups would not leave from non-repeatable games of finite stakes on their possible agreements, while the competitive strategy is the other style of decision making under which any player in negotiation groups would leave for other repeatable games of infinite stakes on their possible agreements. those two types of strategies are selective for increasing negotiated gains under temporary constraints in the response to properties of infinite and finite stakes on repeatable and non-repeatable negotiation games, respectively. the proposed theory provides decision support systems withthe command of strategic decision making on group collaboration under temporary constraints by its static and dynamic analyses. Copyright 2008 ACM.
We present our Service Directory Placement Protocol (SDPP), a multi-directory scheme for service discovery in Mobile Ad-hoc Networks (MANETs). SDPP promotes the use of both fixed and mobile directories co-existing in ...
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ISBN:
(纸本)9781605582351
We present our Service Directory Placement Protocol (SDPP), a multi-directory scheme for service discovery in Mobile Ad-hoc Networks (MANETs). SDPP promotes the use of both fixed and mobile directories co-existing in a hybrid setting comprised of devices with different memory availability. Our proposed system is based on a heuristic approach, whose performance is optimized by formulating the directory-placement problem as a Semi-Markov Decision Process solved by Q-Learning. Performance evaluations reveal typical performance gains ranging between 15% and 75% of SDPP compared with a default broadcast approach for MANETs comprised of hosts moving at pedestrian speeds. A two-step process for practical implementation based on "off-line" computer simulations is also described.
We present a mechanics-based haptic simulation of an arbitrary suturing task for a simple skin or a soft tissue wound closure. the pre-wound suturing target, the skin or the deformable tissue, is modeled as a modified...
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ISBN:
(纸本)9783540690566
We present a mechanics-based haptic simulation of an arbitrary suturing task for a simple skin or a soft tissue wound closure. the pre-wound suturing target, the skin or the deformable tissue, is modeled as a modified mass-spring system. the suturing material is modeled based on the linear finite-element model with some novel extensions for enhancing the computation of the constrained mechanics models. Novel extensions to typical suturing models are defined. For example, if the needle incision points are too close to each other or from the edge of the wound and if the user pulls on the suture with a force which is beyond a predefined threshold, the suture will tear the soft tissue instead of suturing the incision. Experiment results show that our simulator can run on a standard desk-top computing environment and allow the user to perform different suturing patterns with smooth haptic feedback.
We have developed a virtual integration environment (VIE) for the development of neural prosthetic systems. this paper, the second of two companion articles, describes the use of the VIE as a common platform for the i...
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ISBN:
(纸本)9781424418145
We have developed a virtual integration environment (VIE) for the development of neural prosthetic systems. this paper, the second of two companion articles, describes the use of the VIE as a common platform for the implementation of neural decode algorithms. In this paper, a linear filter decode and a recursive Bayesian algorithm are implemented as separate signal analysis modules of the VIE for the real-time decode of end effector trajectory. the process of implementing each algorithm is described and the real-time behavior as well as computational cost for each algorithm is examined. this is the first report of the real-time implementation of the Mixture of Trajectory Models decode [10]. these real-time algorithms can be easily interfaced with pre-existing modules of the VIE to control simulated and real devices.
the proceedings contain 47 papers. the topics discussed include: the concept of a unified modeling of optical radiation propagation in complex turbid media;characterizing semiconductor materials with terahertz radiati...
ISBN:
(纸本)9780819473844
the proceedings contain 47 papers. the topics discussed include: the concept of a unified modeling of optical radiation propagation in complex turbid media;characterizing semiconductor materials with terahertz radiation pulses;laser structuring of conducting films on transparent substrates for electronics devices;alkali-ion irradiated alpha-quartz: low-temperature cathodoluminescence after chemical epitaxy;vibrational and structural properties of unmodified and radiation-modified chalcogenide glasses for advanced optical applications;second harmonic generation in selenium-metal structures;deconvolution of the mercury 253.7 nm spectral line shape for the use in absorption spectroscopy;evaluation of deep trap compensation ratio and recombination parameters by transient grating techniques;some features of information theory application to holographic systems;and electronic eye occluder with time-counting and reflection control.
In this paper, the problem of multi-criteria evaluation is addressed and the different ways of knowledge integration is discussed. Our decisions are becoming increasingly dependent on understanding of complex relation...
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ISBN:
(纸本)9780889867550
In this paper, the problem of multi-criteria evaluation is addressed and the different ways of knowledge integration is discussed. Our decisions are becoming increasingly dependent on understanding of complex relations, deep context and dynamics of phenomena in the world around and geographic information system (GIS) technology is able to incorporate this new requirements. the contribution is focused on the possibilities of GIS in combination with expert knowledge to support the decisions in the field of agriculture production with regards to the prediction of diseases and pests. It is shown that the localized knowledge make possible to aggregate important aspects of defined phenomenon and evaluate them in context of different hypothesis.
In this paper, we present a VQ-based fast face recognition algorithm using an optimized codebook. Previously, Chen et al. 1161 proposed a novel codebook design method based on the systematic classification and organiz...
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ISBN:
(纸本)9781424422388
In this paper, we present a VQ-based fast face recognition algorithm using an optimized codebook. Previously, Chen et al. 1161 proposed a novel codebook design method based on the systematic classification and organization of code patterns abstracted from facial images for reliable face recognition. In this paper, an improved codebook design method is proposed. Combined by a systematically organized codebook based on the classification of code patterns and another codebook created by Kohonen's Self-Organizing Maps (SOM), an optimized codebook consisted of 2x2 codevectors for facial images is generated. We demonstrate the performance of our algorithm using publicly available AT&T database containing variations in lighting, posing, and expressions. Compared withthe algorithms employing original codebook or SOM codebook separately, experimental results show face recognition using the optimized codebook is more efficient. the highest average recognition rate of 98.2% is obtained for 40 persons' 400 images of AT&T database. A table look-up (TLU) method is also proposed for the speed up of the recognition processing in this paper. By applying this method in the quantization step, the total recognition processing time achieves only 28 msec, enabling real-time face recognition.
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