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51.
At the very core of most automated sorting systems— for example, at airports for baggage handling and in parcel distribution centers for sorting mail—we find closed-loop tilt tray sortation conveyors. In such a system, trays are loaded with cargo as they pass through loading stations, and are later tilted upon reaching the outbound container dedicated to a shipment’s destination. This paper addresses the question of whether the simple decision rules typically applied in the real world when deciding which parcel should be loaded onto what tray are, indeed, a good choice. We formulate a short-term deterministic scheduling problem where a finite set of shipments must be loaded onto trays such that the makespan is minimized. We consider different levels of flexibility in how to arrange shipments on the feeding conveyors, and distinguish between unidirectional and bidirectional systems. In a comprehensive computational study, we compare these sophisticated optimization procedures with widespread rules of thumb, and find that the latter perform surprisingly well. For almost all problem settings, some priority rule can be identified which leads to a low-single-digit optimality gap. In addition, we systematically evaluate the performance gains promised by different sorter layouts. 相似文献
52.
We introduce time-varying parameters in a multi-agent clustering model and we derive necessary and sufficient conditions for the occurrence of clustering behavior with respect to a given cluster structure. For periodically varying parameters the clustering conditions may be formulated in a similar way as for the time-invariant model. The results require the individual weights assigned to the agents to be constant. For time-varying weights we illustrate with an example that the obtained results can no longer be applied. 相似文献
53.
In this article we present our recent efforts in designing a comprehensive consistent scientific workflow, nicknamed Wolf2 Pack, for force-field optimization in the field of computational chemistry. Atomistic force fields represent a multiscale bridge that connects high-resolution quantum mechanics knowledge to coarser molecular mechanics-based models. Force-field optimization has so far been a time-consuming and error-prone process, and is a topic where the use of a scientific workflow can provide obvious great benefits. As a case study we generate a gas-phase force field for methanol using Wolf2 Pack, with special attention given toward deriving partial atomic charges. 相似文献
54.
The evolution and maintenance of large-scale software systems requires first an understanding of its architecture before delving
into lower-level details. Tools facilitating the architecture comprehension tasks by visualization provide different sets
of configurable, graphical elements to present information to their users. We conducted a controlled experiment that exemplifies
the critical role of such graphical elements when aiming at understanding the architecture. In our setting, a different configuration
of graphical elements had significant influence on program comprehension tasks. In particular, a 63% gain in effectiveness
in architectural analysis tasks was achieved simply by changing the configuration of the graphical elements of the same tool.
Based on the results, we claim that significant effort should be spent on the configuration of architecture visualization
tools and that configurability should be a requirement for such tools.
Jens Knodel is a scientist at the Fraunhofer Institute for Experimental Software Engineering (IESE) in Kaiserslautern, Germany. As an applied researcher in the department “Product Line Architectures” he works in several industrial and research projects in the context of product line engineering and software architectures. His main research interests are architecture compliance checking, software evolution, and architecture reconstruction. Jens Knodel is the architect of the Fraunhofer SAVE tool (the acronym SAVE stands for Software Architecture Evaluation and Visualization). Dirk Muthig heads the division “Software Development” at the Fraunhofer Institute for Experimental Software Engineering (IESE). He has been involved in the definition, development, and transfer of Fraunhofer PuLSE (Product Line Software Engineering) methodology since 1997. Further, he leads the research and technology transfer in the area of “Software and Systems Architecture”. He received a diploma in computer science, as well as a Ph.D., from the Technical University of Kaiserslautern. Matthias Naab is an engineer at the Fraunhofer Institute for Experimental Software Engineering (IESE). He works in the areas of software- and system architectures and product lines. In several industry projects, he was involved in architecture evaluations of large-scale information systems from different industries and customers. To the Fraunhofer SAVE tool, he contributed the visualization component. Matthias Naab received a diploma in computer science from the Technical University of Kaiserslautern in 2005. 相似文献
Matthias Naab (Corresponding author)Email: |
Jens Knodel is a scientist at the Fraunhofer Institute for Experimental Software Engineering (IESE) in Kaiserslautern, Germany. As an applied researcher in the department “Product Line Architectures” he works in several industrial and research projects in the context of product line engineering and software architectures. His main research interests are architecture compliance checking, software evolution, and architecture reconstruction. Jens Knodel is the architect of the Fraunhofer SAVE tool (the acronym SAVE stands for Software Architecture Evaluation and Visualization). Dirk Muthig heads the division “Software Development” at the Fraunhofer Institute for Experimental Software Engineering (IESE). He has been involved in the definition, development, and transfer of Fraunhofer PuLSE (Product Line Software Engineering) methodology since 1997. Further, he leads the research and technology transfer in the area of “Software and Systems Architecture”. He received a diploma in computer science, as well as a Ph.D., from the Technical University of Kaiserslautern. Matthias Naab is an engineer at the Fraunhofer Institute for Experimental Software Engineering (IESE). He works in the areas of software- and system architectures and product lines. In several industry projects, he was involved in architecture evaluations of large-scale information systems from different industries and customers. To the Fraunhofer SAVE tool, he contributed the visualization component. Matthias Naab received a diploma in computer science from the Technical University of Kaiserslautern in 2005. 相似文献
55.
This paper presents an analysis of the performance of the (μ/μ,λ)-ES with isotropically distributed mutations and cumulative
step length adaptation on the noisy parabolic ridge. Several forms of dependency of the noise strength on the distance from
the ridge axis are considered. Closed form expressions are derived that describe the mutation strength and the progress rate
of the strategy in high-dimensional search spaces. It is seen that as for the sphere model, larger levels of noise present
lead to cumulative step length adaptation generating increasingly inadequate mutation strengths, and that the problem can
be ameliorated to some degree by working with larger populations. 相似文献
56.
Dirk Fox 《Datenschutz und Datensicherheit - DuD》2008,32(5):348-350
Zusammenfassung Eine Kryptoanalyse des verbreiteten Mifare-Chips, der in ca. 85% aller kontaktlosen Chipkarten zum Einsatz kommt, wurde erstmalig
auf dem CCC-Jahreskongress am 28.12.2007 vorgestellt. Inzwischen wurden weitere Details bekannt — und der Angriff erheblich
verbessert. Mitte April 2008 stellten Forscher der Radboud Universiteit Nijmegen einen Kurzfilm in You-Tube ein, in dem sie
den erfolgreichen Angriff auf eine Campus-Zugangskarte zeigen.
Dirk Fox Gesch?ftsführer der Secorvo Security Consulting GmbH und Herausgeber der DuD. 相似文献
57.
Image analysis in the visual system is well adapted to the statistics of natural scenes. Investigations of natural image statistics have so far mainly focused on static features. The present study is dedicated to the measurement and the analysis of the statistics of optic flow generated on the retina during locomotion through natural environments. Natural locomotion includes bouncing and swaying of the head and eye movement reflexes that stabilize gaze onto interesting objects in the scene while walking. We investigate the dependencies of the local statistics of optic flow on the depth structure of the natural environment and on the ego-motion parameters. To measure these dependencies we estimate the mutual information between correlated data sets. We analyze the results with respect to the variation of the dependencies over the visual field, since the visual motions in the optic flow vary depending on visual field position. We find that retinal flow direction and retinal speed show only minor statistical interdependencies. Retinal speed is statistically tightly connected to the depth structure of the scene. Retinal flow direction is statistically mostly driven by the relation between the direction of gaze and the direction of ego-motion. These dependencies differ at different visual field positions such that certain areas of the visual field provide more information about ego-motion and other areas provide more information about depth. The statistical properties of natural optic flow may be used to tune the performance of artificial vision systems based on human imitating behavior, and may be useful for analyzing properties of natural vision systems. 相似文献
58.
Hoyer D Friedrich H Frank B Pompe B Baranowski R Zebrowski JJ Schmidt H 《Computer methods and programs in biomedicine》2006,81(3):246-255
Heart rate variability (HRV) represents the cardiovascular control mediated by the autonomic nervous system and other mechanisms. In the established task force HRV monitoring different cardiovascular control mechanisms can approximately be identified at typical frequencies of heart rate oscillations by power spectral analysis. HRV measures assessing complex and fractal behavior partly improved clinical risk stratification. However, their relationship to (patho-)physiology is not sufficiently explored. Objective of the present work is the introduction of complexity measures of different physiologically relevant time scales. This is achieved by a new concept of the autonomic information flow (AIF) analysis which was designed according to task force HRV. First applications show that different time scales of AIF improve the risk stratification of patients with multiple organ dysfunction syndrome and cardiac arrest patients in comparison to standard HRV. Each group's significant time scales correspond to their respective pathomechanisms. 相似文献
59.
In this paper we survey our research on smart meeting rooms and its relevance for augmented reality meeting support and virtual
reality generation of meetings in real time or off-line. The research reported here forms part of the European 5th and 6th
framework programme projects multi-modal meeting manager (M4) and augmented multi-party interaction (AMI). Both projects aim
at building a smart meeting environment that is able to collect multimodal captures of the activities and discussions in a
meeting room, with the aim to use this information as input to tools that allow real-time support, browsing, retrieval and
summarization of meetings. Our aim is to research (semantic) representations of what takes place during meetings in order
to allow generation, e.g. in virtual reality, of meeting activities (discussions, presentations, voting, etc.). Being able
to do so also allows us to look at tools that provide support during a meeting and at tools that allow those not able to be
physically present during a meeting to take part in a virtual way. This may lead to situations where the differences between
real meeting participants, human-controlled virtual participants and (semi-) autonomous virtual participants disappear.
相似文献
Dirk HeylenEmail: |
60.
Optimum tracking with evolution strategies 总被引:1,自引:0,他引:1
Evolutionary algorithms are frequently applied to dynamic optimization problems in which the objective varies with time. It is desirable to gain an improved understanding of the influence of different genetic operators and of the parameters of a strategy on its tracking performance. An approach that has proven useful in the past is to mathematically analyze the strategy's behavior in simple, idealized environments. The present paper investigates the performance of a multiparent evolution strategy that employs cumulative step length adaptation for an optimization task in which the target moves linearly with uniform speed. Scaling laws that quite accurately describe the behavior of the strategy and that greatly contribute to its understanding are derived. It is shown that in contrast to previously obtained results for a randomly moving target, cumulative step length adaptation fails to achieve optimal step lengths if the target moves in a linear fashion. Implications for the choice of population size parameters are discussed. 相似文献