@inproceedings{48887,
  abstract     = {{We evaluate the performance of a multi-objective evolutionary algorithm on a class of dynamic routing problems with a single vehicle. In particular we focus on relating algorithmic performance to the most prominent characteristics of problem instances. The routing problem considers two types of customers: mandatory customers must be visited whereas optional customers do not necessarily have to be visited. Moreover, mandatory customers are known prior to the start of the tour whereas optional customers request for service at later points in time with the vehicle already being on its way. The multi-objective optimization problem then results as maximizing the number of visited customers while simultaneously minimizing total travel time. As an a-posteriori evaluation tool, the evolutionary algorithm aims at approximating the related Pareto set for specifically designed benchmarking instances differing in terms of number of customers, geographical layout, fraction of mandatory customers, and request times of optional customers. Conceptional and experimental comparisons to online heuristic procedures are provided.}},
  author       = {{Meisel, Stephan and Grimme, Christian and Bossek, Jakob and Wölck, Martin and Rudolph, Günter and Trautmann, Heike}},
  booktitle    = {{Proceedings of the Genetic and Evolutionary Computation Conference }},
  isbn         = {{978-1-4503-3472-3}},
  keywords     = {{combinatorial optimization, metaheuristics, multi-objective optimization, online algorithms, transportation}},
  pages        = {{425–432}},
  publisher    = {{Association for Computing Machinery}},
  title        = {{{Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle}}},
  doi          = {{10.1145/2739480.2754705}},
  year         = {{2015}},
}

@inproceedings{13324,
  abstract     = {{The new technological enhancements and the accessibility to varieties of online applications, enable users to collect personal data and perform self-evaluation through test, comparison and experimentation. The sparked interest in numbers and numbers as self-representative visualisations is prominent in social networking sites, which are the empirical setting for the present study. This paper sets out to establish a multi-theoretical framework which enables the investigation of emerging phenomena of the role of numbers in social networking sites. The proposed framework rests on three theoretical pillars: self-determination theory, heuristic decision making and behavioural economics. A discussion departs from these convictions to investigate user reactions and behaviour when faced with numerical representations in the SNS.}},
  author       = {{Sjöklint, Mimmi and Constantiou, Ioanna and Trier, Matthias}},
  booktitle    = {{ECIS 2013 Proceedings}},
  isbn         = {{9783834924421}},
  keywords     = {{User Behaviour, Social Networking Sites, Numerical Representations, Multi-Theoretical Framework, Quantified Self, Pointification}},
  publisher    = {{Association for Information Systems. AIS Electronic Library (AISeL)}},
  title        = {{{Numerical Representations and User Behaviour in Social Networking Sites: Towards a Multi- Theoretical Research Framework}}},
  year         = {{2013}},
}

@inproceedings{36920,
  abstract     = {{In the electronic system development, energy consumption is clearly becoming one of the most important design concerns. From the system level point of view, Dynamic Power Management (DPM) and Dynamic Voltage and Frequency Scaling (DVFS) are two mostly applied techniques to adjust the tradeoff between the performance and power dissipation at runtime. In this paper, we study the problem of combined application of both techniques with regard to hard real-time systems running on cluster-based multi-core processors. To optimize the processor energy consumption, a heuristic based on simulated annealing with efficient termination criterion is proposed. The experiment results show that the proposed algorithm outperforms the existing approaches in terms of the energy reduction. }},
  author       = {{He, Da and Müller, Wolfgang}},
  booktitle    = {{Proceedings of the International Conference on Applied Computing (AC)}},
  editor       = {{Weghorn, Hans}},
  isbn         = {{978-989-8533-20-3 }},
  keywords     = {{Dynamic Power Management, Dynamic Voltage and Frequency Scaling, Hard Real-Time, Multi-core Processor}},
  title        = {{{An Energy-Efficient Heuristic for Hard Real-Time System on Multi-Core Processors}}},
  year         = {{2013}},
}

@article{46411,
  abstract     = {{The paper presents a framework to optimise the design of work roll based on the cooling performance. The framework develops meta-models from a set of finite element analyses (FEA) of the roll cooling. A design of experiment technique is used to identify the FEA runs. The research also identifies sources of uncertainties in the design process. A robust evolutionary multi-objective evaluation technique is applied to the design optimisation in constrained problems with real life uncertainty. The approach handles uncertainties associated both with design variables and fitness functions. Constraints violation within the neighbourhood of a design is considered as part of a measurement for degree of feasibility and robustness of a solution.}},
  author       = {{Azene, Y.T. and Roy, R. and Farrugia, D. and Onisa, C. and Mehnen, J. and Trautmann, Heike}},
  issn         = {{1755-5817}},
  journal      = {{CIRP Journal of Manufacturing Science and Technology}},
  keywords     = {{Roll cooling design, Uncertainty, Design optimisation, Multi-objective optimisation, Constraint in design}},
  number       = {{4}},
  pages        = {{290--298}},
  title        = {{{Work roll cooling system design optimisation in presence of uncertainty and constrains}}},
  doi          = {{https://doi.org/10.1016/j.cirpj.2010.06.001}},
  volume       = {{2}},
  year         = {{2010}},
}

@inproceedings{11724,
  abstract     = {{In this paper we present a novel vehicle tracking method which is based on multi-stage Kalman filtering of GPS and IMU sensor data. After individual Kalman filtering of GPS and IMU measurements the estimates of the orientation of the vehicle are combined in an optimal manner to improve the robustness towards drift errors. The tracking algorithm incorporates the estimation of time-variant covariance parameters by using an iterative block Expectation-Maximization algorithm to account for time-variant driving conditions and measurement quality. The proposed system is compared to an interacting multiple model approach (IMM) and achieves improved localization accuracy at lower computational complexity. Furthermore we show how the joint parameter estimation and localizaiton can be conducted with streaming input data to be able to track vehicles in a real driving environment.}},
  author       = {{Bevermeier, Maik and Peschke, Sven and Haeb-Umbach, Reinhold}},
  booktitle    = {{IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)}},
  keywords     = {{computational complexity, expectation-maximisation algorithm, Global Positioning System, inertial measurement unit, inertial navigation, interacting multiple model, iterative block expectation-maximization algorithm, Kalman filters, multi-stage Kalman filter, parameter estimation, road vehicles, vehicle positioning, vehicle tracking}},
  pages        = {{1--5}},
  title        = {{{Joint Parameter Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning}}},
  doi          = {{10.1109/VETECS.2009.5073634}},
  year         = {{2009}},
}

@article{34564,
  abstract     = {{To provide user interfaces for a rich set of devices and interaction modalities, we follow a model-based development methodology. We devised an architecture which deploys user interfaces specified as dialogue models with abstract interaction objects and allows context-based adaptations by means of an external transcoding process. For the validation of the applicability of this methodology for developing usable multimodal multi-device systems, we present two case studies based on proof-of-concept implementations and assessed them with a large set of established design principles and different types of modality cooperation.}},
  author       = {{Schäfer, Robbie and Müller, Wolfgang}},
  journal      = {{Journal on Multimodal User Interfaces}},
  keywords     = {{Interaction architecture     Abstract interaction objects     Dialogue model     Transformations     Multimodality     Multi-device     Design principles}},
  number       = {{1}},
  pages        = {{25--41}},
  publisher    = {{Springer-Verlag}},
  title        = {{{Assessment of a Multimodal Interaction and Rendering System against Established Design Principles}}},
  doi          = {{10.1007/s12193-008-0003-3}},
  volume       = {{2}},
  year         = {{2008}},
}

@article{17289,
  abstract     = {{Robots have to deal with an enormous amount of sensory stimuli. One solution in making sense of them is to enable a robot system to actively search for cues that help structuring the information. Studies with infants reveal that parents support the learning-process by modifying their interaction style, dependent on their child's developmental age. In our study, in which parents demonstrated everyday actions to their preverbal children (8-11 months old), our aim was to identify objective parameters for multimodal action modification. Our results reveal two action parameters being modified in adult-child interaction: roundness and pace. Furthermore, we found that language has the power to help children structuring actions sequences by synchrony and emphasis. These insights are discussed with respect to the built-in attention architecture of a socially interactive robot, which enables it to understand demonstrated actions. Our algorithmic approach towards automatically detecting the task structure in child-designed input demonstrates the potential impact of insights from developmental learning on robotics. The presented findings pave the way to automatically detect when to imitate in a demonstration}},
  author       = {{Rohlfing, Katharina and Fritsch, Jannik and Wrede, Britta and Jungmann, Tanja}},
  issn         = {{1568-5535}},
  journal      = {{Advanced Robotics}},
  keywords     = {{multi-modal motherese, child-directed input, motionese, learning mechanisms}},
  number       = {{10}},
  pages        = {{1183--1199}},
  publisher    = {{VSP BV}},
  title        = {{{How can multimodal cues from child-directed interaction reduce learning complexity in robots?}}},
  doi          = {{10.1163/156855306778522532}},
  volume       = {{20}},
  year         = {{2006}},
}

@inproceedings{2421,
  abstract     = {{In contrast to processors, current reconfigurable devices totally lack programming models that would allow for device independent compilation and forward compatibility. The key to overcome this limitation is hardware virtualization. In this paper, we resort to a macro-pipelined execution model to achieve hardware virtualization for data streaming applications. As a hardware implementation we present a hybrid multi-context architecture that attaches a coarse-grained reconfigurable array to a host CPU. A co-simulation framework enables cycle-accurate simulation of the complete architecture. As a case study we map an FIR filter to our virtualized hardware model and evaluate different designs. We discuss the impact of the number of contexts and the feature of context state on the speedup and the CPU load.}},
  author       = {{Enzler, Rolf and Plessl, Christian and Platzner, Marco}},
  booktitle    = {{Proc. Int. Conf. on Field Programmable Logic and Applications (FPL)}},
  keywords     = {{Zippy, multi-context, FPGA}},
  pages        = {{151--160}},
  publisher    = {{Springer}},
  title        = {{{Virtualizing Hardware with Multi-Context Reconfigurable Arrays}}},
  doi          = {{10.1007/b12007}},
  volume       = {{2778}},
  year         = {{2003}},
}

