The paper presents constraint satisfaction problem driven approach to analytical solution of the cyclic scheduling problem in the Flexible Manufacturing System (FMS) producing multi-type parts where for material handl...
详细信息
A well-studied approach to the design of voting rules views them as maximum likelihood estimators;given votes that are seen as noisy estimates of a true ranking of the alternatives, the rule must reconstruct the most ...
详细信息
Nowadays organizations continuously update, adopt or introduce new Information technology Systems within their structure. This requires great resources in capital, staff and time. Selection and adoption of the proper ...
详细信息
Denoising is an essential application to improve image quality, especially in medical imaging. This paper introduces an example and patch-based learning method for reducing Gaussian noise and Poisson noise which often...
详细信息
Model-driven software engineering not only enables the efficient development of software but also facilitates the analysis of non-functional properties (NFPs). As UML, the most adopted modeling language for designing ...
详细信息
Model-driven software engineering not only enables the efficient development of software but also facilitates the analysis of non-functional properties (NFPs). As UML, the most adopted modeling language for designing software, lacks in formal execution semantics, current approaches translate UML models into dedicated analysis models, before NFPs can be computed. However, such transformations introduce additional complexity for the users and developers of analysis tools. To avoid this additional complexity, we show how the analysis of certain NFPs can be performed solely based on UML models without translating them into, e.g., queuing networks. Therefore, we leverage the execution semantics of fUML, a recent OMG standard, to gain execution traces from UML models and, based on these traces, compute indices, such as response time, taking into account the contention of resources, as well as different resource management configurations, such as balancing and scaling strategies.
In the current work, we present our position towards the modeling of a decision support system for health assessment and prevention of risky situations in the life of seniors. A two-layer architecture based on the Fuz...
详细信息
Ring-based WDM-PONs can employ a single dedicated wavelength channel to interconnect the Optical Network Units (ONUs) thus providing a means for inter-ONU communication and downstream wavelength sharing. In this paper...
详细信息
ISBN:
(纸本)9781479956029
Ring-based WDM-PONs can employ a single dedicated wavelength channel to interconnect the Optical Network Units (ONUs) thus providing a means for inter-ONU communication and downstream wavelength sharing. In this paper, a new TDM dynamic bandwidth allocation (DBA) algorithm for inter-ONU communication is proposed, which takes into account the destination of the ONUs on the ring. The main purpose of this 'Destination-Aware' (DestAware) algorithm is to improve the network inter-ONU communication performance without any additional cost. Performance results show that by considering the destination of the ONUs during the bandwidth allocation process both line utilization and experienced delay are improved.
We study the frequent connected induced subgraph mining problem, i.e., the problem of listing all connected graphs that are induced subgraph isomorphic to a given number of transaction graphs. We first show that this ...
详细信息
We consider the farthest-neighbor Voronoi diagram of a set of line segments in three dimensions. To understand the structure of the diagram, we define the "farthest hull" of the segments and investigate it b...
详细信息
Denoising is an essential application to improve image quality, especially in medical imaging. This paper introduces an example and patch-based learning method for reducing Gaussian noise and Poisson noise which often...
详细信息
ISBN:
(纸本)9781479957521
Denoising is an essential application to improve image quality, especially in medical imaging. This paper introduces an example and patch-based learning method for reducing Gaussian noise and Poisson noise which often appear in medical imaging modalities using ionizing radiation. In the proposed method, denoising is performed by learning the regression model based on a set of the nearest neighbors of a given noisy patch, with the help of a given set of standard images. The method is evaluated and compared to several state-of-the-art denoising methods. The obtained results confirm its efficiency, especially for heavy noise.
暂无评论