In this paper, we present a method for the automated determination of aerosol jet parameters for the Aerosol-on-Demand (AoD) jet-printhead. A critical aspect in the simulation of our computational fluid dynamics (CFD)...
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Laser-scanning confocal microscopy of the human cornea acquires in vivo images of corneal tissues with cellular resolution, which offers diagnostic potential for a variety of diseases. However, involuntary fixational ...
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The future of power systems belongs to renewables. And to integrate them, the expansion of the electricity grids is undoubtedly necessary. Furthermore, power systems cannot operate without reserves and flexibilities. ...
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The steady-state operation of a four channel resonant step-up dc/dc converter is presented and analyzed in continuous current conduction mode (CCM). The converter is equipped with two input channels, four output chann...
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Modern production systems demands advanced data networking. Concepts like the unified namespace help in reconfiguring the data flow of different hierarchy levels into a centralized data space. This data space connects...
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Industry 4.0-compliant digitalization is intensively penetrating the industrial Eco-system, bringing its benefits by generating or improving new complementary functionalities and associated business, providing a feasi...
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Industry 4.0-compliant digitalization is intensively penetrating the industrial Eco-system, bringing its benefits by generating or improving new complementary functionalities and associated business, providing a feasible way to interconnect stakeholders within the value chain and supply-chain, as well as along the product and system's Life-Cycle, which can share digitalized data and information in form of Added-value Services. To facilitate perform those businesses, Industry 4.0-compliant service-oriented infrastructures are required. Functionalities and associated data and information can be provided/exposed and/or consumed as services by systems of Cyber-physical things. In the language of Industry 4.0, those physical things are identified as"Assets". Each physical"Asset" has associated a Cyber-part, the so called Asset Administration Shell (AAS), which contains a set of digitalized Data/Information/Function-Models, i.e., Digital Twins, and responsible for supporting an Industry 4.0-compliant communication/networking of the digitalized Asset. The AAS is fully responsible for the provision, exposition, consumption, composition, orchestration of services. The broad adoption of the AAS in a digitalized industrial environment is mainly depending on the costs of the digitalization-migration-process, which needs to respond to a set of functional and technical requirements. Among others, requirements for using Low-Cost technologies supporting the implementation of AAS with low energy consumption, efficiency and flexibility, should essentially be fulfilled. In this scenario, the authors present a service-collector of AAS that is implemented in commercial low-cost technology and deployed in a common Industry 4.0-compliant network, using REST-API and and OPC UA based infrastructure. The paper describes also the corresponding algorithm to perform the service-collection, based on the Python programming language, which is finally deployed and executed by a Single-Board Compute
Training summarization models requires substantial amounts of training data. However for less resourceful languages like Hungarian, openly available models and datasets are notably scarce. To address this gap our pape...
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Pattern recognition algorithms are commonly utilized to discover certain patterns,particularly in image-based *** study focuses on quasiperiodic oscillations(QPO)in celestial objects referred to as cataclysmic variabl...
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Pattern recognition algorithms are commonly utilized to discover certain patterns,particularly in image-based *** study focuses on quasiperiodic oscillations(QPO)in celestial objects referred to as cataclysmic variables(CV).We are dealing with interestingly indistinct QPO signals,which we analyze using a power density spectrum(PDS).The confidence in detecting the latter using certain statistical approaches may come out with less significance than the *** work with real and simulated QPO data of a CV called MV *** primary statistical tool for determining confidence levels is sigma *** aforementioned CV has scientifically proven QPO existence,but as indicated by our analysis,the QPO ended up falling below 1-σ,and such QPOs are not noteworthy based on the former *** intend to propose and ultimately train a convolutional neural network(CNN)using two types of QPO data with varying amounts of training dataset *** aim to demonstrate the accuracy and viability of the classification using a CNN in comparison to sigma *** resulting detection rate of our algorithm is very plausible,thus proving the effectiveness of CNNs in this scientific area.
Developments in the production sector during recent years have led to rapid growth in usage of automated systems when it comes to communication and data exchange. Such systems help businesses with acquiring new custom...
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This paper introduces a multiobjective optimization strategy for minimizing both energy pulsation and power dissipation in modular multilevel converters (MMCs). The occurrence of energy pulsation and power dissipation...
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