@article{20143,
  author       = {{Otroshi, Mortaza and Rossel, Moritz and Meschut, Gerson}},
  journal      = {{Journal of Advanced Joining Processes}},
  keywords     = {{Self-pierce riveting, Ductile fracture, Damage modeling, GISSMO damage model}},
  publisher    = {{Elsevier}},
  title        = {{{Stress state dependent damage modeling of self-pierce riveting process simulation using GISSMO damage model}}},
  doi          = {{10.1016/j.jajp.2020.100015}},
  volume       = {{1}},
  year         = {{2020}},
}

@article{11946,
  abstract     = {{Literature reviews (LRs) play an important role in the development of domain knowledge in all fields. Yet, we observe a
lack of insights into the activities with which LRs actually develop knowledge. To address this important gap, we (1)
derive knowledge building activities from the extant literature on LRs, (2) suggest a knowledge-based typology of LRs
that complements existing typologies, and (3) apply the suggested typology in an empirical study that explores how LRs
with different goals and methodologies have contributed to knowledge development. The analysis of 240 LRs published
in 40 renowned IS journals between 2000 and 2014 allows us to draw a detailed picture of knowledge development
achieved by one of the most important genres in the IS field. An overarching contribution of our work is to unify extant
conceptualizations of LRs by clarifying and illustrating how LRs apply different methodologies in a range of knowledge
building activities to achieve their goals with respect to theory.}},
  author       = {{Schryen, Guido and Wagner, Gerit and Benlian, Alexander and Paré, Guy}},
  issn         = {{ 1529-3181}},
  journal      = {{Communications of the AIS}},
  keywords     = {{Literature review, knowledge development, knowledge building activities, knowledge-based typology, information systems research}},
  pages        = {{134--186}},
  title        = {{{A Knowledge Development Perspective on Literature Reviews: Validation of a New Typology in the IS Field}}},
  doi          = {{10.17705/1CAIS.04607}},
  volume       = {{46}},
  year         = {{2020}},
}

@inproceedings{48850,
  abstract     = {{Sequential model-based optimization (SMBO) approaches are algorithms for solving problems that require computationally or otherwise expensive function evaluations. The key design principle of SMBO is a substitution of the true objective function by a surrogate, which is used to propose the point(s) to be evaluated next. SMBO algorithms are intrinsically modular, leaving the user with many important design choices. Significant research efforts go into understanding which settings perform best for which type of problems. Most works, however, focus on the choice of the model, the acquisition function, and the strategy used to optimize the latter. The choice of the initial sampling strategy, however, receives much less attention. Not surprisingly, quite diverging recommendations can be found in the literature. We analyze in this work how the size and the distribution of the initial sample influences the overall quality of the efficient global optimization (EGO) algorithm, a well-known SMBO approach. While, overall, small initial budgets using Halton sampling seem preferable, we also observe that the performance landscape is rather unstructured. We furthermore identify several situations in which EGO performs unfavorably against random sampling. Both observations indicate that an adaptive SMBO design could be beneficial, making SMBO an interesting test-bed for automated algorithm design.}},
  author       = {{Bossek, Jakob and Doerr, Carola and Kerschke, Pascal}},
  booktitle    = {{Proceedings of the Genetic and Evolutionary Computation Conference}},
  isbn         = {{978-1-4503-7128-5}},
  keywords     = {{continuous black-box optimization, design of experiments, initial design, sequential model-based optimization}},
  pages        = {{778–786}},
  publisher    = {{Association for Computing Machinery}},
  title        = {{{Initial Design Strategies and Their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB}}},
  doi          = {{10.1145/3377930.3390155}},
  year         = {{2020}},
}

@inproceedings{48897,
  abstract     = {{In this work we focus on the well-known Euclidean Traveling Salesperson Problem (TSP) and two highly competitive inexact heuristic TSP solvers, EAX and LKH, in the context of per-instance algorithm selection (AS). We evolve instances with nodes where the solvers show strongly different performance profiles. These instances serve as a basis for an exploratory study on the identification of well-discriminating problem characteristics (features). Our results in a nutshell: we show that even though (1) promising features exist, (2) these are in line with previous results from the literature, and (3) models trained with these features are more accurate than models adopting sophisticated feature selection methods, the advantage is not close to the virtual best solver in terms of penalized average runtime and so is the performance gain over the single best solver. However, we show that a feature-free deep neural network based approach solely based on visual representation of the instances already matches classical AS model results and thus shows huge potential for future studies.}},
  author       = {{Seiler, Moritz and Pohl, Janina and Bossek, Jakob and Kerschke, Pascal and Trautmann, Heike}},
  booktitle    = {{Parallel Problem Solving from {Nature} (PPSN XVI)}},
  isbn         = {{978-3-030-58111-4}},
  keywords     = {{Automated algorithm selection, Deep learning, Feature-based approaches, Traveling Salesperson Problem}},
  pages        = {{48–64}},
  publisher    = {{Springer-Verlag}},
  title        = {{{Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem}}},
  doi          = {{10.1007/978-3-030-58112-1_4}},
  year         = {{2020}},
}

@article{21948,
  abstract     = {{<jats:p>Since suspensions (e.g., in food, cement, or cosmetics industries) tend to show wall slip, the application of structured measuring surfaces in rheometers is widespread. Usually, for parallel-plate geometries, the tip-to-tip distance is used for calculation of absolute rheological values, which implies that there is no flow behind this distance. However, several studies show that this is not true. Therefore, the measuring gap needs to be corrected by adding the effective gap extension    δ    to the prescribed gap height    H    in order to obtain absolute rheological properties. In this paper, we determine the effective gap extension    δ    for different structures and fluids (Newtonian, shear thinning, and model suspensions that can be adjusted to the behavior of real fluids) and compare the corrected values to reference data. We observe that for Newtonian fluids a gap- and material-independent correction function can be derived for every measuring system, which is also applicable to suspensions, but not to shear thinning fluids. Since this relation appears to be mainly dependent on the characteristics of flow behaviour, we show that the calibration of structured measuring systems is possible with Newtonian fluids and then can be transferred to suspensions up to a certain particle content.</jats:p>}},
  author       = {{Pawelczyk, Sebastian and Kniepkamp, Marieluise and Jesinghausen, Steffen and Schmid, Hans-Joachim}},
  issn         = {{1996-1944}},
  journal      = {{Materials}},
  keywords     = {{wall slip prevention, effective gap height, parallel-plate system, structured surfaces, model suspensions, cement paste, fresh concrete}},
  title        = {{{Absolute Rheological Measurements of Model Suspensions: Influence and Correction of Wall Slip Prevention Measures}}},
  doi          = {{10.3390/ma13020467}},
  year         = {{2020}},
}

@article{4682,
  author       = {{Schmiedel, T. and Müller, Oliver and vom Brocke, J.}},
  journal      = {{Organizational Research Methods}},
  keywords     = {{online reviews, organizational culture, structural topic model, topic modeling, tutorial}},
  pages        = {{941----968 }},
  title        = {{{Topic Modeling as a Strategy of Inquiry in Organizational Research: A Tutorial With an Application Example on Organizational Culture}}},
  doi          = {{https://doi.org/10.1177/1094428118773858}},
  year         = {{2019}},
}

@inproceedings{9850,
  abstract     = {{A business model describes the mechanisms whereby a firm creates, delivers, and captures value. Following the steadily growing interest in business model innovation, software tools have shown great potential in supporting business model development and innovation. Yet, understanding the cognitive processes involved in the generation of business model ideas is an aspect of software design-knowledge that has so far been neglected. To investigate whether providing stimuli – in this case, brainstorming questions – can enhance individual creativity in this context, we conduct an exploratory experiment with over 100 participants. Our study is the first to systematically investigate the process of idea generation using a software-based business model development tool with stimuli. Our preliminary findings have the potential to support the future development of business model development tools and to refine the research design used to evaluate such tools.}},
  author       = {{Szopinski, Daniel}},
  booktitle    = {{Proceedings of the ACM Creativity & Cognition}},
  keywords     = {{Business model innovation, idea generation, cognitive stimuli, business model development tools, experiment, creativity support system}},
  location     = {{San Diego, USA}},
  title        = {{{Can stimuli improve business model idea generation? Developing software-based tools for business model innovation}}},
  year         = {{2019}},
}

@article{9853,
  abstract     = {{Business model innovation is typically taught in small seminars at universities. Teaching this intrinsically task-oriented subject to a large number of students is a challenge. In this paper we address this challenge by proposing an experiential and interactive approach to teaching business models in a large classroom setting.}},
  author       = {{Szopinski, Daniel}},
  journal      = {{Journal of Business Models}},
  keywords     = {{Business model teaching, peer assessment, experiential learning}},
  number       = {{3}},
  pages        = {{90--100}},
  title        = {{{Squaring the circle: Business model teaching in large classroom settings}}},
  volume       = {{7}},
  year         = {{2019}},
}

@inproceedings{13138,
  abstract     = {{Mobile app stores like Apple's AppStore or Google's PlayStore are highly competitive markets for third-party developers wanting to develop successful applications. During the development process, many developers focus on the multitude of product functions but neglect the business model as an equally important part. As a result, developers often fail to meet customer needs, leading to unnecessary development costs and poor market penetration. This, in turn, raises the question of how we intertwine the business model and product functions during the development process to ensure a better alignment between the two.
In this paper, we show this intertwined development by adapting the concept of Twin Peaks to the business model and product functions. Based on feature modeling as an abstraction layer, we introduce the concept of a Business Model Decision Line (BMDL) to structure the business model decisions and their relation to product functions structured in a Software Product Line (SPL). The basis of our feature models is the analysis of top listed applications in the app stores of Apple and Google. To create and modify both models, we provide an incremental feature structuring and iterative feature selection process. This combination of abstraction layer and development process supports third-party developers to build successful applications both from a business and a product perspective. 
}},
  author       = {{Gottschalk, Sebastian and Rittmeier, Florian and Engels, Gregor}},
  booktitle    = {{Software Business}},
  editor       = {{Hyrynsalmi, Sami and Suoranta, Mari and Nguyen-Duc, Anh and Tyrväinen, Pasi and Abrahamsson, Pekka}},
  keywords     = {{Intertwined Development, Twin Peaks, Feature Model, Business Model, Product Functions}},
  location     = {{ Jyväskylä}},
  number       = {{1}},
  pages        = {{192--207}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Intertwined Development of Business Model and Product Functions for Mobile Applications: A Twin Peak Feature Modeling Approach}}},
  doi          = {{10.1007/978-3-030-33742-1_16}},
  volume       = {{370}},
  year         = {{2019}},
}

@article{10334,
  abstract     = {{Ultrasonic joining is a common industrial process. In the electronics industry it is used to form electrical connections, including those of dissimilar materials. Multiple influencing factors in ultrasonic joining are known and extensively investigated; process parameters like ultrasonic power, bond force, and bonding frequency of the ultrasonic vibration are known to have a high impact on a reliable joining process and need to be adapted for each new application with different geometry or materials. This contribution is focused on increasing ultrasonic power transmitted to the interface and keeping mechanical stresses during ultrasonic bonding low by using a multi-dimensional ultrasonic transducer concept. Bonding results for a new designed connector pin in IGBT-modules achieved by multi- and one-dimensional bonding are discussed.}},
  author       = {{Schemmel, Reinhard and Hemsel, Tobias and Dymel, Collin and Hunstig, Matthias and Brökelmann, Michael and Sextro, Walter}},
  issn         = {{0924-4247}},
  journal      = {{Sensors and Actuators A: Physical}},
  keywords     = {{Ultrasonic bonding, Ultrasonic welding, Multi-dimensional bonding, Complex vibration, Multi-frequent, Two-dimensional friction model}},
  pages        = {{653 -- 662}},
  title        = {{{Using complex multi-dimensional vibration trajectories in ultrasonic bonding and welding}}},
  doi          = {{10.1016/j.sna.2019.04.025}},
  volume       = {{295}},
  year         = {{2019}},
}

@inproceedings{5675,
  abstract     = {{When responding to natural disasters, professional relief units are often supported by many volunteers which are not affiliated to humanitarian organizations. The effective coordination of these volunteers is crucial to leverage their capabilities and to avoid conflicts with professional relief units. In this paper, we empirically identify key requirements that professional relief units pose on this coordination. Based on these requirements, we suggest a decision model. We computationally solve a real-world instance of the model and empirically validate the computed solution in interviews with practitioners. Our results show that the suggested model allows for solving volunteer coordination tasks of realistic size near-optimally within short time, with the determined solution being well accepted by practitioners. We also describe in this article how the suggested decision support model is integrated in the volunteer coordination system which we develop in joint cooperation with a disaster management authority and a software development company.}},
  author       = {{Rauchecker, Gerhard and Schryen, Guido}},
  booktitle    = {{Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management}},
  keywords     = {{Coordination of spontaneous volunteers, volunteer coordination system, decision support, scheduling optimization model, linear programming}},
  location     = {{Rochester, NY, USA}},
  title        = {{{Decision Support for the Optimal Coordination of Spontaneous Volunteers in Disaster Relief}}},
  year         = {{2018}},
}

@article{9899,
  abstract     = {{Bainite is a steel microstructure consisting of three phases, bainitic ferrite, austenite and carbides. It forms in two different morphologies, upper and lower bainite, where different diffusion mechanisms are dominant. The aim of this work is to simulate both transformations within a unified model. To this end, we extend an own previously published model for lower bainite with diffusion across the phase interface. As a central idea we introduce weighted Helmholtz energy functions and a weighted mobility tensor, respectively. The individual Helmholtz energy functions and mobility terms are related to the different diffusion mechanisms which are responsible for the formation of both morphologies. Two representative examples illustrate the capability of the coupled phase field/diffusion model and show the expected behaviour.}},
  author       = {{Düsing, M. and Mahnken, R.}},
  issn         = {{0020-7683}},
  journal      = {{International Journal of Solids and Structures}},
  keywords     = {{Coupled phase field/diffusion model, Bainite, Multiphase field method, Cahn–Hilliard diffusion, Diffusion across the interface, Lower bainitic transformation, Upper bainitic transformation, Thermodynamic framework, Microforce balance}},
  pages        = {{172--183}},
  publisher    = {{Elsevier}},
  title        = {{{„A coupled phase field/diffusion model for upper and lower bainitic transformation”}}},
  volume       = {{135}},
  year         = {{2018}},
}

@inproceedings{9999,
  abstract     = {{Ultrasonic wire bonding is an indispensable process in the industrial manufacturing of semiconductor devices. Copper wire is increasingly replacing the well-established aluminium wire because of its superior electrical, thermal and mechanical properties. Copper wire processes differ significantly from aluminium processes and are more sensitive to disturbances, which reduces the range of parameter values suitable for a stable process. Disturbances can be compensated by an adaption of process parameters, but finding suitable parameters manually is difficult and time-consuming. This paper presents a physical model of the ultrasonic wire bonding process including the friction contact between tool and wire. This model yields novel insights into the process. A prototype of a multi-objective optimizing bonding machine (MOBM) is presented. It uses multi-objective optimization, based on the complete process model, to automatically select the best operating point as a compromise of concurrent objectives.}},
  author       = {{Unger, Andreas and Hunstig, Matthias and Meyer, Tobias and Brökelmann, Michael and Sextro, Walter}},
  booktitle    = {{In Proceedings of IMAPS 2018 – 51st Symposium on Microelectronics, Pasadena, CA, 2018}},
  keywords     = {{wire bonding, multi-objective optimization, process model, copper wire, self-optimization}},
  title        = {{{Intelligent Production of Wire Bonds using Multi-Objective Optimization – Insights, Opportunities and Challenges}}},
  doi          = {{10.4071/2380-4505-2018.1.000572}},
  volume       = {{Vol. 2018, No. 1, pp. 000572-000577.}},
  year         = {{2018}},
}

@inproceedings{24395,
  abstract     = {{In the field of lightweight design by composites, the V-Model forms the basis of inter- and
transdisciplinary collaboration and research of 13 doctoral students from different disciplines, i. e.
engineering, sciences and social sciences. The technological challenges of the research college itself
and the V-Model as an approach for addressing these challenges are introduced. Within the
cooperation of the young researchers, a technology demonstrator was produced. On the one hand this
can be seen as demonstrator for the different technologies which are addressed by individual research
and on the other hand for the interdisciplinary collaboration itself. Exemplary, this technology
demonstrator is presented as one result of the research group and the challenges of the
interdisciplinary collaboration while producing it are pointed out.}},
  author       = {{Weiß, Borkowski and Ilona, Horwath and Berscheid, Anna lena and Fischer, Silvia Dohmeier and Tröster, Thomas}},
  keywords     = {{Lightweight Design, Composites, Interdisciplinarity, Transdisciplinarity, V-Model.}},
  location     = {{Valencia, Spain}},
  title        = {{{NEW APPROACHES IN LIGHTWEIGHT DESIGN: V-MODEL OF LIGHTWEIGHT DESIGN BY COMPOSITES AS AN APPROACH OF INTER- AND TRANSDISCIPLINARY RESEARCH}}},
  doi          = {{Weiß-Borkowski, N.; Horwath, I.; Berscheid, A.-L.; Tröster, T. (2018)}},
  year         = {{2018}},
}

@article{34498,
  abstract     = {{Ample empirical research from regular school settings documents reciprocal effects between academic performance and academic self-concept of ability (ASC), supporting what is known as a reciprocal effects model (REM). The present article investigates a REM in the domain of reading performance in a sample of elementary students with special educational needs in learning (SEN-L) who received special educational support in exclusive versus inclusive settings (N = 446). In exclusive settings, SEN-L students attend special schools and are completely separated from regular students. By contrast, SEN-L students in inclusive settings attend regular schools and are educated in classes with regular students. In both settings, SEN-L students are not graded and taught based on individual learning goals, which may affect reciprocal effects between ASC and reading performance. In addition, given that special education for SEN-L students relies heavily on individual reference standards to evaluate performance, we tested individual performance growth of SEN-L students as a predictor of ASC. Analyses of a longitudinal dataset across 3rd and 4th grade revealed some cross-lagged effects and an effect of performance growth on ASC in exclusive settings in particular. The discussion focuses on the role of individualized instruction, grades, peer groups, and individual versus social reference standards for reciprocal effects between ASC and performance as well as practical implications.
}},
  author       = {{Gorges, Julia and Neumann, Phillip and Wild, Elke and Stranghöner, Daniela and Lütje-Klose, Birgit}},
  issn         = {{1041-6080}},
  journal      = {{Learning and Individual Differences}},
  keywords     = {{BiLieF, Special educational needs, Learning disability, Academic selfconcept of ability, Reciprocal effects model, Inclusive education}},
  pages        = {{11--20}},
  publisher    = {{Elsevier BV}},
  title        = {{{Reciprocal effects between self-concept of ability and performance: A longitudinal study of children with learning disabilities in inclusive versus exclusive elementary education}}},
  doi          = {{10.1016/j.lindif.2017.11.005}},
  volume       = {{61}},
  year         = {{2018}},
}

@article{4947,
  abstract     = {{Manufacturers increasingly integrate information and communication technologies into their products so that they can provide IT-based services. Organizations that formerly concentrated on transactional sales thus confront a new challenge associated with managing service usage—retention and extracting value from investments in smart technology. This study combines a marketing and an information systems perspective in a field study conducted jointly with a large European car manufacturer. Understanding the renewal decision for IT-based service contracts requires knowledge from both disciplines. The paper shows that combining behavioral predictor variables stemming from marketing research and technology-related perceptual variables stemming from technology acceptance research increases the explanatory power and prediction accuracy of forecasting models for customer renewal decisions. Specifically, the authors show that perceptions of usefulness become more important the longer customers use IT-based services and the more services they use within the service contract.}},
  author       = {{Wangenheim, Florian v and Wünderlich, Nancy and Schumann, Jan H}},
  journal      = {{Journal of Business Research}},
  keywords     = {{IT-based service, Smart services, Contract renewal, Retention, Customer churn, Free trial}},
  number       = {{79}},
  pages        = {{181----188}},
  publisher    = {{Elsevier}},
  title        = {{{Renew or cancel? Drivers of customer renewal decisions for IT-based service contracts}}},
  year         = {{2017}},
}

@article{9976,
  abstract     = {{State-of-the-art mechatronic systems offer inherent intelligence that enables them to autonomously adapt their behavior to current environmental conditions and to their own system state. This autonomous behavior adaptation is made possible by software in combination with complex sensor and actuator systems and by sophisticated information processing, all of which make these systems increasingly complex. This increasing complexity makes the design process a challenging task and brings new complex possibilities for operation and maintenance. However, with the risk of increased system complexity also comes the chance to adapt system behavior based on current reliability, which in turn increases reliability. The development of such an adaption strategy requires appropriate methods to evaluate reliability based on currently selected system behavior. A common approach to implement such adaptivity is to base system behavior on different working points that are obtained using multiobjective optimization. During operation, selection among these allows a changed operating strategy. To allow for multiobjective optimization, an accurate system model including system reliability is required. This model is repeatedly evaluated by the optimization algorithm. At present, modeling of system reliability and synchronization of the models of behavior and reliability is a laborious manual task and thus very error-prone. Since system behavior is crucial for system reliability, an integrated model is introduced that integrates system behavior and system reliability. The proposed approach is used to formulate reliability-related objective functions for a clutch test rig that are used to compute feasible working points using multiobjective optimization.}},
  author       = {{Kaul, Thorben and Meyer, Tobias and Sextro, Walter}},
  journal      = {{SAGE Journals}},
  keywords     = {{Integrated model, reliability, system behavior, Bayesian network, multiobjective optimization}},
  pages        = {{390 -- 399}},
  title        = {{{Formulation of reliability-related objective functions for design of intelligent mechatronic systems}}},
  doi          = {{10.1177/1748006X17709376}},
  volume       = {{Vol. 231(4)}},
  year         = {{2017}},
}

@inproceedings{9978,
  abstract     = {{Piezoelectric transducers are used in a wide range of applications. Reliability of these transducers is an important aspect in their application. Prognostics, which involve continuous monitoring of the health of technical systems and using this information to estimate the current health state and consequently predict the remaining useful lifetime (RUL), can be used to increase the reliability, safety, and availability of the transducers. This is achieved by utilizing the health state and RUL predictions to adaptively control the usage of the components or to schedule appropriate maintenance without interrupting operation. In this work, a prognostic approach utilizing self-sensing, where electric signals of a piezoelectric transducer are used as the condition monitoring data, is proposed. The approach involves training machine learning algorithms to model the degradation of the transducers through a health index and the use of the learned model to estimate the health index of similar transducers. The current health index is then used to estimate RUL of test components. The feasibility of the approach is demonstrated using piezoelectric bimorphs and the results show that the method is accurate in predicting the health index and RUL.}},
  author       = {{Kimotho, James Kuria and Sextro, Walter and Hemsel, Tobias}},
  booktitle    = {{IEEE Transactions on Reliability}},
  keywords     = {{Estimation of Remaining Useful Lifetime of Piezoelectric Transducers Based on Self-Sensing}},
  pages        = {{1 -- 10}},
  title        = {{{Estimation of Remaining Useful Lifetime of Piezoelectric Transducers Based on Self-Sensing}}},
  doi          = {{10.1109/TR.2017.2710260}},
  year         = {{2017}},
}

@inproceedings{10676,
  author       = {{Ho, Nam and Kaufmann, Paul and Platzner, Marco}},
  booktitle    = {{2017 International Conference on Field Programmable Technology (ICFPT)}},
  keywords     = {{Linux, cache storage, microprocessor chips, multiprocessing systems, LEON3-Linux based multicore processor, MiBench suite, block sizes, cache adaptation, evolvable caches, memory-to-cache-index mapping function, processor caches, reconfigurable cache mapping optimization, reconfigurable hardware technology, replacement strategies, standard Linux OS, time a complete hardware implementation, Hardware, Indexes, Linux, Measurement, Multicore processing, Optimization, Training}},
  pages        = {{215--218}},
  title        = {{{Evolvable caches: Optimization of reconfigurable cache mappings for a LEON3/Linux-based multi-core processor}}},
  doi          = {{10.1109/FPT.2017.8280144}},
  year         = {{2017}},
}

@inproceedings{10780,
  author       = {{Guettatfi, Zakarya and Hübner, Philipp and Platzner, Marco and Rinner, Bernhard}},
  booktitle    = {{12th International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC)}},
  keywords     = {{embedded systems, image sensors, power aware computing, wireless sensor networks, Zynq-based VSN node prototype, computational self-awareness, design approach, platform levels, power consumption, visual sensor networks, visual sensor nodes, Cameras, Hardware, Middleware, Multicore processing, Operating systems, Runtime, Reconfigurable platforms, distributed embedded systems, performance-resource trade-off, self-awareness, visual sensor nodes}},
  pages        = {{1--8}},
  title        = {{{Computational self-awareness as design approach for visual sensor nodes}}},
  doi          = {{10.1109/ReCoSoC.2017.8016147}},
  year         = {{2017}},
}

