Part of a Book
Refine
Year of publication
Institute
- Fachbereich Medizintechnik und Technomathematik (43)
- Fachbereich Elektrotechnik und Informationstechnik (38)
- IfB - Institut für Bioengineering (34)
- Fachbereich Luft- und Raumfahrttechnik (26)
- Fachbereich Energietechnik (25)
- Fachbereich Chemie und Biotechnologie (18)
- Fachbereich Wirtschaftswissenschaften (15)
- Solar-Institut Jülich (11)
- Fachbereich Maschinenbau und Mechatronik (8)
- INB - Institut für Nano- und Biotechnologien (8)
Has Fulltext
- no (195) (remove)
Language
- English (195) (remove)
Document Type
- Part of a Book (195) (remove)
Keywords
- Papierkunst (4)
- Wind Tunnel (3)
- Aktionskunst (2)
- Central receiver power plant (2)
- Central receiver system (2)
- Concentrated solar collector (2)
- Concentrated systems (2)
- Engineering optimization (2)
- Flight Test (2)
- Gas turbine (2)
- Pitching Moment (2)
- Seismic design (2)
- Solar concentration (2)
- Wave Drag (2)
- robotic process automation (2)
- 20 fossil-fueled power plants (1)
- 3D printing (1)
- Acceptance tests (1)
- Additive manufacturing (1)
- Advanced driver assistance systems (ADAS/AD) (1)
- Aerodynamic Drag (1)
- Analytics (1)
- Autonomous mobile robots (1)
- BEV (1)
- Best practice sharing (1)
- Bioeconomy (1)
- Bioethanol (1)
- Biomolecular logic gate (1)
- Biorefinery (1)
- Biorefinery definitions (1)
- Bladder (1)
- Bone sawing (1)
- Business Models (1)
- Calorimetric gas sensor (1)
- Carsharing (1)
- Certification Rule (1)
- Change culture (1)
- Change management (1)
- Charging stations (1)
- Chemical imaging (1)
- Chimeric liver-humanized mice (1)
- Coat protein (1)
- Coefficient of ocular rigidity (1)
- Cognitive assistance system (1)
- Collaborative robot (1)
- Collagen fibrils (1)
- Components (1)
- Concentrating solar power (1)
- Connective tissues (1)
- Controller Parameter (1)
- Corneo-scleral shell (1)
- Cross-platform (1)
- DNA (1)
- Decentral (1)
- Design examples (1)
- Differential tonometry (1)
- Digital leadership (1)
- Digital manufacturing (1)
- Diversity management (1)
- Drag Reduction (1)
- Drug distribution (1)
- Drug metabolism (1)
- Dry surfaces (1)
- E-carsharing (1)
- E-mobility (1)
- Electrical vehicle (1)
- Energy efficiency (1)
- Engine Efficiency (1)
- Enzyme biosensor (1)
- Enzyme nanocarrier (1)
- Eurocode 8 (1)
- Evacuation Rule (1)
- Evaluation (1)
- Extracellular matrix (ECM) (1)
- Eyeball (1)
- FGF23 (1)
- Field-effect device (1)
- Field-effect sensor (1)
- Fresnel collector (1)
- Fresnel power plant (1)
- Friction Drag (1)
- Fully connected car (1)
- Gamification (1)
- Gearbox (1)
- Global optimization (1)
- Glucose biosensor (1)
- Glucose oxidase (1)
- Gold nanoparticle (1)
- Growth modelling (1)
- Gust wind response (1)
- Higher education (1)
- Human-Robot interaction (1)
- Human-centered work design (1)
- Human-robot collaboration (1)
- Hybridization (1)
- Hydraulic structures (1)
- Hydrogen peroxide (1)
- ISO 26262 (1)
- IT Products (1)
- Ice melting probe (1)
- Ice penetration (1)
- Icy moons (1)
- Illustration (1)
- Inclusive work climate (1)
- Inductive charging (1)
- Industrial units (1)
- Industry 4.0 (1)
- Information and communication technology (1)
- Integrated mobility (1)
- Interactive process mining (1)
- Introduction (1)
- Klotho (1)
- Knockout mice (1)
- Kommunikationsguerrilla (1)
- Leaderboard (1)
- Leading Edge Vortex (1)
- Lean thinking (1)
- Level Control System (1)
- Light-addressable potentiometric sensor (1)
- Lignocellulose feedstook (1)
- Limit analysis (1)
- MINLP (1)
- Mach Number (1)
- Machine learning (1)
- Mars (1)
- Mechanical (1)
- Mechanical simulation (1)
- Mechanical stability (1)
- Methodology (1)
- Microbial adhesion (1)
- Mixed-Methods Research (1)
- Mixed-integer nonlinear black-box optimization (1)
- Mixed-integer nonlinear problem (1)
- Mobile web (1)
- Mobility management (1)
- Multi-criteria optimization (1)
- Multi-robot systems (1)
- Multi-sensor system (1)
- Multidisciplinary Design Optimization (1)
- Multimode failure (1)
- Muscle fibers (1)
- Network (1)
- Niacin (1)
- Noise Exposure (1)
- Non-linear optimization (1)
- Objective data (1)
- Ocean worlds (1)
- On-site (1)
- Open channels (1)
- Optical and thermal analysis (1)
- Optimal Closed Loop (1)
- Optimal Topology (1)
- Optimization (1)
- Organizational culture (1)
- PTH (1)
- PWA (1)
- Paper recycling (1)
- Parabolized Stability Equation (1)
- Passenger compartment (1)
- Passive stretching (1)
- Path planning (1)
- Pelvic floor dysfunction (1)
- Pelvic muscle (1)
- Perception (1)
- Performance measurement (1)
- Phosphate (1)
- Physical modeling (1)
- Plant efficiency (1)
- Potentiometry (1)
- Power conversion systems (1)
- Powertrain (1)
- Pre-treatment (1)
- Pressure-volume relationship (1)
- Privacy (1)
- Process engineering (1)
- Process schemes (1)
- Product Management (1)
- Product family optimization (1)
- Progressive Web App (1)
- Psychological concepts (1)
- Pushover analysis (1)
- Quantitative research (1)
- RWTH Aachen University (1)
- Rapid manufacturing (1)
- Rapid prototyping (1)
- Reconstruction (1)
- Reliability analysis (1)
- Renewable resources (1)
- Response spectrum (1)
- Responsibility (1)
- Riboflavin (1)
- RoboCup (1)
- Robotic process automation (1)
- Safety concept (1)
- Safety of the intended functionality (SOTIF) (1)
- Safety-critical systems validation (1)
- Sampling methods (1)
- Severe Accident (1)
- Shakedown analysis (1)
- Silos (1)
- Similitude (1)
- Smart factory (1)
- Software development (1)
- Software testing (1)
- Solar dish (1)
- Sonic Boom (1)
- Specific Fuel Consumption (1)
- Spectral analysis (1)
- Stadtgestaltung (1)
- Strategic Business Planning (1)
- Streetart (1)
- Students (1)
- Studienarbeit (1)
- Supersonic Flow (1)
- Supersonic Wind Tunnel (1)
- Surface microorganisms (1)
- Swabbing (1)
- Tanks (1)
- Tapered ends (1)
- Technical Operation Research (1)
- Technology Challenge (1)
- Thermal Fatigue Testing (1)
- Thermal comfort (1)
- Thermal management (1)
- Thiamine (1)
- Tobacco mosaic virus (TMV) (1)
- Toxicology (1)
- Transition (1)
- Urban areas (1)
- Ureter (1)
- Variable Geometry (1)
- Vitamin A (1)
- Vitamin B (1)
- Vitamin D (1)
- WLTP (1)
- Water (1)
- Wind turbulence (1)
- Workspace monitoring (1)
- applications (1)
- architectural education (1)
- artificial intelligence (1)
- attitude dynamics (1)
- bullying (1)
- business process automation (1)
- ceramics (1)
- commercial offthe- shelf solutions (1)
- culpability (1)
- currriculum (1)
- design research (1)
- dscipline (1)
- filtration (1)
- gas flow (1)
- hot gas cleanup (1)
- hybridity (1)
- lessons learned (1)
- liability (1)
- management (1)
- orbit control (1)
- orbital dynamics (1)
- policy recommendations (1)
- profession (1)
- recommendations for actions (1)
- research by design (1)
- research framework (1)
- research in architecture (1)
- sailcraft (1)
- software evaluation (1)
- software selection (1)
- solar sail (1)
- technology (1)
- the University of Sheffield (1)
- training simulator (1)
- virtual reality (1)
- Öffentlicher Raum (1)
A concept for the analysis and optimal design of reinforced concrete structures is described. It is based on a nonlinear optimization algorithm and a finite element program for linear and nonlinear analysis of structures. With the aim of minimal cost design a two stage optimization using efficient gradient algorithm is developed. The optimization problems on global (structural) and local (crosssectional) level are formulated. A parallelization concept for solving the two stage optimization problem in minimal time is presented. Examples are included to illustrate the practical use and the effectively of the parallelization in the area of engineering design.
Industrial units consist of the primary load-carrying structure and various process engineering components, the latter being by far the most important in financial terms. In addition, supply structures such as free-standing tanks and silos are usually required for each plant to ensure the supply of material and product storage. Thus, for the earthquake-proof design of industrial plants, design and construction rules are required for the primary structures, the secondary structures and the supply structures. Within the framework of these rules, possible interactions of primary and secondary structures must also be taken into account. Importance factors are used in seismic design in order to take into account the usually higher risk potential of an industrial unit compared to conventional building structures. Industrial facilities must be able to withstand seismic actions because of possibly wide-ranging damage consequences in addition to losses due to production standstill and the destruction of valuable equipment. The chapter presents an integrated concept for the seismic design of industrial units based on current seismic standards and the latest research results. Special attention is devoted to the seismic design of steel thin-walled silos and tank structures.
Thermal management in E-carsharing vehicles - preconditioning concepts of passenger compartments
(2015)
The issue of thermal management in electric vehicles includes the topics of drivetrain cooling and heating, interior temperature, vehicle body conditioning and safety. In addition to the need to ensure optimal thermal operating conditions of the drivetrain components (drive motor, battery and electrical components), thermal comfort must be provided for the passengers. Thermal comfort is defined as the feeling which expresses the satisfaction of the passengers with the ambient conditions in the compartment. The influencing factors on thermal comfort are the temperature and humidity as well as the speed of the indoor air and the clothing and the activity of the passengers, in addition to the thermal radiation and the temperatures of the interior surfaces. The generation and the maintenance of free visibility (ice- and moisture-free windows) count just as important as on-demand heating and cooling of the entire vehicle. A Carsharing climate concept of the innovative ec2go vehicle stipulates and allows for only seating areas used by passengers to be thermally conditioned in a close-to-body manner. To enable this, a particular feature has been added to the preconditioning of the Carsharing electric vehicle during the electric charging phase at the parking station.
Hydraulic modeling is the classical approach to investigate and describe complex fluid motion. Many empirical formulas in the literature used for the hydraulic design of river training measures and structures have been developed using experimental data from the laboratory. Although computer capacities have increased to a high level which allows to run complex numerical simulations on standard workstation nowadays, non-standard design of structures may still raise the need to perform physical model investigations. These investigations deliver insight into details of flow patterns and the effect of varying boundary conditions. Data from hydraulic model tests may be used for calibration of numerical models as well. As the field of hydraulic modeling is very complex, this chapter intends to give a short overview on capacities and limits of hydraulic modeling in regard to river flows and hydraulic structures only. The reader shall get a first idea of modeling principles and basic considerations. More detailed information can be found in the references.
Next Generation Manufacturing promises significant improvements in performance, productivity, and value creation. In addition to the desired and projected improvements regarding the planning, production, and usage cycles of products, this digital transformation will have a huge impact on work, workers, and workplace design. Given the high uncertainty in the likelihood of occurrence and the technical, economic, and societal impacts of these changes, we conducted a technology foresight study, in the form of a real-time Delphi analysis, to derive reliable future scenarios featuring the next generation of manufacturing systems. This chapter presents the organization dimension and describes each projection in detail, offering current case study examples and discussing related research, as well as implications for policy makers and firms. Specifically, we highlight seven areas in which the digital transformation of production will change how we work, how we organize the work within a company, how we evaluate these changes, and how employment and labor rights will be affected across company boundaries. The experts are unsure whether the use of collaborative robots in factories will replace traditional robots by 2030. They believe that the use of hybrid intelligence will supplement human decision-making processes in production environments. Furthermore, they predict that artificial intelligence will lead to changes in management processes, leadership, and the elimination of hierarchies. However, to ensure that social and normative aspects are incorporated into the AI algorithms, restricting measurement of individual performance will be necessary. Additionally, AI-based decision support can significantly contribute toward new, socially accepted modes of leadership. Finally, the experts believe that there will be a reduction in the workforce by the year 2030.
We present a new approach to the problem of optimal control of solar sails for low-thrust trajectory optimization. The objective was to find the required control torque magnitudes in order to steer a solar sail in interplanetary space. A new steering strategy, controlling the solar sail with generic torques applied about the spacecraft body axes, is integrated into the existing low-thrust trajectory optimization software InTrance. This software combines artificial neural networks and evolutionary algorithms to find steering strategies close to the global optimum without an initial guess. Furthermore, we implement a three rotational degree-of-freedom rigid-body attitude dynamics model to represent the solar sail in space. Two interplanetary transfers to Mars and Neptune are chosen to represent typical future solar sail mission scenarios. The results found with the new steering strategy are compared to the existing reference trajectories without attitude dynamics. The resulting control torques required to accomplish the missions are investigated, as they pose the primary requirements to a real on-board attitude control system.
The network approach towards the analysis of the dynamics of complex systems has been successfully applied in a multitude of studies in the neurosciences and has yielded fascinating insights. With this approach, a complex system is considered to be composed of different constituents which interact with each other. Interaction structures can be compactly represented in interaction networks. In this contribution, we present a brief overview about how interaction networks are derived from multivariate time series, about basic network characteristics, and about challenges associated with this analysis approach.
For pelvic floor disorders that cannot be treated with non-surgical procedures, minimally invasive surgery has become a more frequent and safer repair procedure. More than 20 million prosthetic meshes are implanted each year worldwide. The simple selection of a single synthetic mesh construction for any level and type of pelvic floor dysfunctions without adopting the design to specific requirements increase the risks for mesh related complications. Adverse events are closely related to chronic foreign body reaction, with enhanced formation of scar tissue around the surgical meshes, manifested as pain, mesh erosion in adjacent structures (with organ tissue cut), mesh shrinkage, mesh rejection and eventually recurrence. Such events, especially scar formation depend on effective porosity of the mesh, which decreases discontinuously at a critical stretch when pore areas decrease making the surgical reconstruction ineffective that further augments the re-operation costs. The extent of fibrotic reaction is increased with higher amount of foreign body material, larger surface, small pore size or with inadequate textile elasticity. Standardized studies of different meshes are essential to evaluate influencing factors for the failure and success of the reconstruction. Measurements of elasticity and tensile strength have to consider the mesh anisotropy as result of the textile structure. An appropriate mesh then should show some integration with limited scar reaction and preserved pores that are filled with local fat tissue. This chapter reviews various tissue reactions to different monofilament mesh implants that are used for incontinence and hernia repairs and study their mechanical behavior. This helps to predict the functional and biological outcomes after tissue reinforcement with meshes and permits further optimization of the meshes for the specific indications to improve the success of the surgical treatment.
Pelvic floor dysfunction (PFD) is characterized by the failure of the levator ani (LA) muscle to maintain the pelvic hiatus, resulting in the descent of the pelvic organs below the pubococcygeal line. This chapter adopts the modified Humphrey material model to consider the effect of the muscle fiber on passive stretching of the LA muscle. The deformation of the LA muscle subjected to intra-abdominal pressure during Valsalva maneuver is compared with the magnetic resonance imaging (MRI) examination of a nulliparous female. Numerical result shows that the fiber-based Humphrey model simulates the muscle behavior better than isotropic constitutive models. Greater posterior movement of the LA muscle widens the levator hiatus due to lack of support from the anococcygeal ligament and the perineal structure as a consequence of birth-related injury and aging. Old and multiparous females with uncontrolled urogenital and rectal hiatus tend to develop PFDs such as prolapse and incontinence.
Information technologies, such as big data analytics, cloud computing,
cyber physical systems, robotic process automation, and the internet of things, provide a sustainable impetus for the structural development of business sectors as well as the digitalization of markets, enterprises, and processes. Within the consulting industry, the proliferation of these technologies opened up the new segment of digital transformation, which focuses on setting up, controlling, and implementing projects for enterprises from a broad range of sectors. These recent developments raise the question, which requirements evolve for IT consultants as important success factors of those digital transformation projects. Therefore, this empirical contribution provides indications regarding the qualifications and competences necessary for IT consultants in the era of digital transformation from a labor market perspective. On the one hand, this knowledge base is interesting for the academic education of consultants, since it supports a market-oriented design of adequate training measures. On the other hand, insights into the competence requirements for consultants are considered relevant for skill and talent management processes in consulting practice. Assuming that consulting companies pursue a strategic human resource management approach, labor market information may also be useful to discover strategic behavioral patterns.
The benefits of robotic process automation (RPA) are highly related to the usage of commercial off-the-shelf (COTS) software products that can be easily implemented and customized by business units. But, how to find the best fitting RPA product for a specific situation that creates the expected benefits? This question is related to the general area of software evaluation and selection. In the face of more than 75 RPA products currently on the market, guidance considering those specifics is required. Therefore, this chapter proposes a criteria-based selection method specifically for RPA. The method includes a quantitative evaluation of costs and benefits as well as a qualitative utility analysis based on functional criteria. By using the visualization of financial implications (VOFI) method, an application-oriented structure is provided that opposes the total cost of ownership to the time savings times salary (TSTS). For the utility analysis a detailed list of functional criteria for RPA is offered. The whole method is based on a multi-vocal review of scientific and non-scholarly literature including publications by business practitioners, consultants, and vendors. The application of the method is illustrated by a concrete RPA example. The illustrated
structures, templates, and criteria can be directly utilized by practitioners in their real-life RPA implementations. In addition, a normative decision process for selecting RPA alternatives is proposed before the chapter closes with a discussion and outlook.
BIG KARL and COSY
(1995)
The methodological discourse of mixed-methods research offers general procedures to combine quantitative and qualitative methods for investigating complex fields of research such as higher education. However, integrating different methods still poses considerable challenges. To move beyond general recommendations for mixed-methods research, this chapter proposes to discuss methodological issues with respect to a particular research domain. Taking current studies on the transition to higher education as an example, the authors first provide an overview of the potentials and limitations of quantitative and qualitative methods in the research domain. Second, they show the need for a conceptual framework grounded in the theory of the research object to guide the integration of different methods and findings. Finally, an example study that investigates transition with regard to the interplay of the individual student and the institutional context serves to illustrate the guiding role of theory. The framework integrates different theoretical perspectives on transition, informs the selection of the research methods, and defines the nexus of the two strands that constitute the mixed-methods design. As the interplay of individual and context is of concern for teaching and learning in general, the example presented may be fruitful for the wider field of higher education research.