A5057541021- Advanced Software Engineering Methodologies
- Service-Oriented Architecture and Web Services
- Model-Driven Software Engineering Techniques
- Additive Manufacturing and 3D Printing Technologies
- Additive Manufacturing Materials and Processes
- Climate Change Policy and Economics
- Manufacturing Process and Optimization
- Business Process Modeling and Analysis
- Software Engineering Research
- Flexible and Reconfigurable Manufacturing Systems
- Injection Molding Process and Properties
- Semantic Web and Ontologies
- Molecular Communication and Nanonetworks
- Software System Performance and Reliability
- Digital Transformation in Industry
- Laser Material Processing Techniques
- Wireless Body Area Networks
- Iron and Steelmaking Processes
- Advanced Database Systems and Queries
- Fiscal Policy and Economic Growth
- Advanced biosensing and bioanalysis techniques
- SAS software applications and methods
- Natural Language Processing Techniques
- Scientific Measurement and Uncertainty Evaluation
- Nuclear Physics and Applications
University of Bern
2023-2024
University of Southern Denmark
2024
Friedrich-Alexander-Universität Erlangen-Nürnberg
2017-2023
University of Bayreuth
2016-2022
IT University of Copenhagen
2022
Climate Centre
2020
Bavarian Polymer Institute
2016-2020
Martin Luther University Halle-Wittenberg
2015
Focus (Germany)
2010
Hamburg Institute of International Economics
2003
In this second part of our survey on experimental research in Synthetic Molecular Communication (SMC), we review works long-range SMC systems, i.e., systems with communication ranges more than a few millimeters. Despite the importance for evolution towards mature paradigm that will eventually support revolutionary applications beyond reach today's prevalent paradigms, existing body literature is still comparatively sparse. Long-range have been proposed information transmission two types...
Selective laser sintering (LS) of thermoplastic powders allows for the construction complex parts with higher mechanical properties and durability compared to other additive manufacturing methods. According current model isothermal sintering, semi-crystalline thermoplastics need be processed within a certain temperature range, resulting in simultaneous presence material both molten solid state, which is present during part building. Based on this process model, high cycle times ranging from...
Commercially available materials for selective laser sintering (SLS) include mainly semicrystalline polymers and only a few composites like polyamide 12 filled with glass beads or aluminum. Powder can be used setting tailored properties. Exemplarily, mechanical properties as well thermal electrical conductivity improved. Thermally conductive SLS parts copper particles have not been under investigation before. This study contains the characterization of acting metal filler high conductivity....
Since its emergence from the communication engineering community around one and a half decades ago, field of Synthetic Molecular Communication (SMC) has experienced continued growth, both in number technical contributions vibrant terms research funding. Throughout this process, vision SMC as novel, revolutionary paradigm constantly evolved, driven by feedback theoretical experimental studies, respectively. It is believed that especially latter ones will be crucial for transition towards...
Powder Bed Fusion of Polymers (PBF-LB/P) is a layer-wise additive manufacturing process that predominantly relies on the quasi-isothermal processing semi-crystalline polymers, inherently limiting spectrum polymers suitable for PBF. Within present paper, novel approach extending isothermal window towards significantly lower temperatures by applying quasi-simultaneous laser-based exposure fractal scan paths proposed. The proposed based temporal and spatial discretization melting subsequent...
Software engineering faces the challenge of developing and maintaining systems that are highly variable in space (concurrent variations system at a single point time) time (sequential due to its evolution). Recent research aims address this need by managing variability simultaneously. However, such often relies on nonuniform terminologies varying understanding concepts, as it originates from different communities: software product-line configuration management. These issues complicate...
Cyber-Physical Production Systems (CPPSs), such as automated car manufacturing plants, execute a configurable sequence of production steps to manufacture products from product portfolio. In CPPS engineering, domain experts start with manually determining feasible step sequences and resources based on implicit knowledge. This process is hard reproduce highly inefficient. this paper, we present the Extended Iterative Process Sequence Exploration (eIPSE) approach derive variability models for...
Laser sintering of polymers (LS) is one the most promising additive manufacturing technologies as it allows for fabrication complexly structured parts with high mechanical properties without requiring additional supporting structures. Semi-crystalline thermoplastics, which are preferably used in LS, need to be processed within a certain surface temperature range enabling simultaneous presence material both, molten and solid state. In accordance common processing models, these temperatures...
Abstract Powder bed-based additive manufacturing has become increasingly important for industrial applications. In the light of this, qualitative considerations such as geometrical accuracy, resulting mechanical properties, and surface quality additively manufactured parts must be taken into account. Optical measuring techniques confocal laser scanning microscopy, fringe projection focus variation well profilometers are evaluated here, to determine powder parts. Even though these evaluation...
Abstract With the increasing demand for customized systems and rapidly evolving technology, software engineering faces many challenges. A particular challenge is development maintenance of that are highly variable both in space (concurrent variations system at one point time) time (sequential system, due to its evolution). Recent research aims address this by managing variability simultaneously. However, originates from two different areas, product line configuration management, resulting...
Generative Artificial Intelligence (GAI) promises groundbreaking automation technology - a potential which may raise the management of variability-intensive software systems to new level automation. Several activities in maintaining systems, such as extracting feature traces updating features consistently, are repetitive and performed mainly manually or semi-automatically. Exploiting potentials GAI opens fundamentally research perspective, where shall solve hard-to-automate tasks. In this...
In this article, we assess the future prospects of Clean Development Mechanism (CDM) from perspective a developing country, drawing on Vietnam as case study. First, review performance CDM and describe evolution carbon markets path towards post-2012 climate regime. Next, place in context, potential project resources, challenges, opportunities that could arise for country policy framework. Our analysis suggests should remain be improved to facilitate more meaningful participation by countries...
Model-driven software engineering has become more and important during the last few years. Model transformations constitute core essence of model-driven development. Throughout years, concept unidirectional model corresponding tool support mature usable. Transformations this kind are widely used in development, for forward or reverse mainly code generation. Bidirectional transformations, on other hand, aim to provide (incrementally) transforming one source models target vice versa from only...
Software and systems engineering is challenged by variability in space (concurrent variations at a single point time) time (sequential due to evolution). Managing both dimensions of independently cumbersome error-prone. A common foundation for operations on these still missing, hampering the comparison integration existing techniques coping with as well design new ones. In this paper, we address problem systematically identifying, categorizing, unifying from contemporary tools extending them...
Feature models are the de-facto standard in product line engineering to capture commonalities and variability of systems. However, feature provide little user guidance during configuration unable represent sequences. A sequence refers specific order combination features that can be selected when configuring a line. While mechanisms, such as staged workflows, exist, we argue effort implement these mechanisms does not pay off for small models. This paper motivates use sequences support better...
In annotative approaches to model-driven product line engineering (MDPLE), model elements are decorated with variability annotations defining the variants in which they included. A multi-variant transformation (MVMT) has propagate these from source target models. We propose trace-based propagation as a grey box solution this problem: After executing ignorant single-variant (SVMT), propagated posteriori based on trace produced by SVMT. Trace-based allows reuse SVMTs, and can be implemented...