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Model reduction for structures subjected to blast loading by use of dynamic substructuring
In the present study, strategies are developed to enable time-efficient models for structures subjected to blast loading, appropriate for use in a structural design process. Dynamic sub structuring is employed to obtain reduced models with localized nonlinearities, such as predefined plastic hinges in a beam column structure. The parts of the substructures that remains linear elastic are modeled b
Benchmarking of learning architectures for digital predistortion
Indirect and direct learning architectures are the two main parameter identification approaches for digital predistortion systems. While the indirect scheme is less complex, its inherent shortcomings are avoided by the direct learning approach. Trying to answer the question whether this advantage of the direct approach can be exploited in terms of measurable linearization-performance improvement i
Which cloud auto-scaler should i use for my application? Benchmarking auto-scaling algorithms : [Poster paper]
Rapid elasticity is one of the essential characteristics of cloud computing identified by NIST [17]. Elasticity allows resources to be provisioned and released to scale rapidly out ward and in ward according to demand. Tens - if not hundreds - of algorithms have been proposed in the literature to automatically achieve elastic provisioning [15, 23, 14, 21, 13, 20, 6, 12, 16, 10]. These algorithms a
Structural monitoring and inspection modelling for structural system updating
Structural monitoring (e.g. structural measurement and damage detection) and inspections have been widely applied as part of structural maintenance. However, the potential of using the obtained information is not yet fully exploited to update the structural reliability and support the maintenance and operation strategy. This paper describes the foundations, limitations, and characteristics of meas
On approximate string matching of unique oligonucleotides
The current research considers the approximate string matching search for important subsequences from DNA sequences, which is essential for numerous bioinformatics computation tasks. We tested several approximate string matching algorithms and furthermore developed one for DNA data. Run times of the algorithms are important, since the amount of data is very large.
Assessment of Biogas Production from Source Separated. Fat, Oil and Grease (FOG) from Households
Waste in form of fat, oil and grease (FOG) is generated where food is prepared or consumed, e.g. in households. If collected properly, the household FOG could be interesting for biogas production. This fraction has been source-separated and collected separately in a residential area in Malmö, Sweden. The biogas potential has been evaluated by mesophilic digestion experiments. Both single-substrate
Frequency selective wallpaper for reducing interference while increasing the MIMO capacity in indoor environments
The design and features of frequency-selective wallpaper created for attachment onto regular walls in order to filter out signals operating at 5 GHz while at the same time allowing the desired radio communication services to propagate through such walls are presented. An analysis of the characteristics of the radio channel evaluated in a typical indoor environment, when considering either regular
Real Java for Real Time -- Gain and Pain
The Java programming language, being a portable and safe object-oriented language, has gained much interest among embedded and real-time systems developers. However, standard Java implementations exhibit problems with performance, memory footprint, and predictability. The question is then, are these limitations inherent in the technology? Reviewing run-time aspects and the possibility to compile
Moving ERP Research Forward: the Future Directions for ERP Research
This paper presents an unbalanced overview of existing Enterprise Resource Planning (ERP) research by reassessing the body of knowledge and emphasising future research directions that need to be pursued in an attempt to fill knowledge gaps and bridge the existing gap between practitioners and academia. To fulfil this objective, nine leading international IS publications covering the period of 2006
Mapping an emergency management network
We present a web-based method for mapping various relations between agents that have been involved in an emergency response operation. The method is based on combining a web-questionnaire with telephone interviews and it provides an efficient way of collecting large amount of information concerning the agents. By using the resulting network of agents it is possible to perform various network analy
Towards a performance-as-a-service Cloud
Motivation While the pay-as-you-go model of Infrastructure-as-a-Service (IaaS) clouds is more flexible than an in-house IT infrastructure, it still has a resource-based interface towards users, who can rent virtual computing resources over relatively long time scales. There is a fundamental mismatch between this resource-based interface and what users really care about: performance.
A generalized software framework for accurate and efficient management of performance goals
A number of techniques have been proposed to provide runtime performance guarantees while minimizing power consumption. One drawback of existing approaches is that they work only on a fixed set of components (or actuators) that must be specified at design time. If new components become available, these management systems must be redesigned and reimplemented. In this paper, we propose PTRADE, a nov
Evolvable systems on reconfigurable architecture via self-aware adaptive applications
Self-adaptive applications are capable of changing their behavior thousands of times per second to autonomically find a way to accomplish given goals despite working in an unpredictable environment whose conditions can vary continuously. In this work we propose an evolvable system that runs self-adaptive applications on top of a heterogeneous system consisting of a general purpose processor and a
On the Value of Structural Health Monitoring Information for the Operation of Wind Parks
On the utilization of multiple information for the integrity management of deteriorating systems
Recent years’ publications have shown how valuable information can be in the integrity management of civil structures. Monitoring systems increase the knowledge about the structural state, improving the prioritization of the interventions, and the selection of optimal maintenance strategy and thereby allowing for budget optimization and risk minimization. This paper investigates the effect of mult
The Sulphur Threat To The 17th Century Warship Vasa
The royal warship Vasa sank on her maiden voyage in 1628. She was discovered in 1956 and in 1961, after 333 years at the bottom of the sea in the Stockholm harbour she was salvaged. Vasa, built mainly of oak, was one of the first major objects to be conserved with polyethylene glycol. She was sprayed continuously for 17 years followed by an 11 year long controlled drying procedure HBfors,[l]). In
Distributed attitude synchronization control of multi-agent systems with time-varying topologies
This paper addresses the attitude synchronization problem of multiple rigid body agents in SO(3) with directed and switching interconnection topologies. Using the axis-angle representation of the orientation, a distributed controller based on differences between the orientations of agents in a global frame is proposed. In the case of the balanced interconnection graph, the attitude synchronization
Isometric multi-shape matching
Finding correspondences between shapes is a fundamental problem in computer vision and graphics, which is relevant for many applications, including 3D reconstruction, object tracking, and style transfer. The vast majority of correspondence methods aim to find a solution between pairs of shapes, even if multiple instances of the same class are available. While isometries are often studied in shape
Linear shape deformation models with local support using graph-based structured matrix factorisation
Representing 3D shape deformations by high-dimensional linear models has many applications in computer vision and medical imaging. Commonly, using Principal Components Analysis a low-dimensional subspace of the high-dimensional shape space is determined. However, the resulting factors (the most dominant eigenvectors of the covariance matrix) have global support, i.e. changing the coefficient of a
