Conference Proceeding
Refine
Year of publication
Document Type
- Conference Proceeding (208) (remove)
Language
- English (208) (remove)
Keywords
- Biosensor (25)
- CAD (7)
- Finite-Elemente-Methode (7)
- civil engineering (7)
- Bauingenieurwesen (6)
- Clusterion (4)
- Limit analysis (4)
- Natural language processing (4)
- Air purification (3)
- Einspielen <Werkstoff> (3)
- Hämoglobin (3)
- Luftreiniger (3)
- Plasmacluster ion technology (3)
- Raumluft (3)
- Shakedown analysis (3)
- Sonde (3)
- shakedown analysis (3)
- Bruchmechanik (2)
- Clustering (2)
- Eisschicht (2)
- Erythrozyt (2)
- FEM (2)
- Information extraction (2)
- Kohlenstofffaser (2)
- Lipopolysaccharide (2)
- Shakedown (2)
- Stickstoffmonoxid (2)
- biosensor (2)
- celldrum technology (2)
- limit analysis (2)
- lipopolysaccharides (2)
- nitric oxide gas (2)
- 3-nitrofluoranthene (1)
- Active learning (1)
- Adsorption (1)
- Agent-based simulation (1)
- Analytischer Zulaessigkeitsnachweis (1)
- Anastomose (1)
- Anastomosis (1)
- Autofluoreszenzverfahren (1)
- BTEX compounds (1)
- Bakterien (1)
- Bio-Sensors (1)
- Biomechanics (1)
- Biomechanik (1)
- Biomedizinische Technik (1)
- Biophoton (1)
- Biosensorik (1)
- Blitzschutz (1)
- CAD ; (1)
- CO (1)
- Chance constrained programming (1)
- Cloud Computing (1)
- Cloud Service Broker (1)
- Conducing polymer (1)
- Dattel (1)
- Deep learning (1)
- Dekontamination (1)
- ECT (1)
- EEG (1)
- EPN (1)
- Einspiel-Analyse (1)
- Einspielanalyse (1)
- Elastodynamik (1)
- Elektrodynamik (1)
- Endothelzelle (1)
- Energy market design (1)
- Evolution of damage (1)
- Exact Ilyushin yield surface (1)
- Extension fracture (1)
- Extension strain criterion (1)
- Festkörper (1)
- Fibroblast (1)
- Finite element method (1)
- First Order Reliabiblity Method (1)
- First-order reliability method (1)
- Fluorescence (1)
- Force (1)
- GaAs hot electron injector (1)
- Gas sensor (1)
- Grid Computing (1)
- Gunn diode (1)
- Heavy metal detection (1)
- High throughput experimentation (1)
- Hotplate (1)
- Hydrodynamik (1)
- Hydrogel (1)
- Hydrogen sensor (1)
- I3S 2005 (1)
- ISFET (1)
- Impedance Spectroscopy (1)
- Information Extraction (1)
- International Symposium on Sensor Science (1)
- Iterative learning control (1)
- Knee (1)
- Körpertemperatur (1)
- LED chip (1)
- Level sensor (1)
- Lichtstreuungsbasierte Instrumente (1)
- Load modeling (1)
- MEMS (1)
- Machine learning (1)
- Main sensitivity (1)
- Market modeling (1)
- Mechanische Beanspruchung (1)
- Microreactors (1)
- Mohr–Coulomb criterion (1)
- Multi-dimensional wave propagation (1)
- Nano Materials (1)
- Nanomaterial (1)
- Nanoparticles (1)
- Nanopartikel (1)
- Nanostructuring (1)
- Nanotechnologie (1)
- Nanotechnology ; Microelectronics ; Biosensors ; Superconductor ; MEMS (1)
- Natriumhypochlorit (1)
- Natural Language Processing (1)
- Natural language understanding (1)
- Nichtlineare Gleichung (1)
- Nichtlineare Optimierung (1)
- Nichtlineare Welle (1)
- Organophosphorus (1)
- Ostazine Orange (1)
- PFM (1)
- Pflanzenphysiologie (1)
- Pflanzenscanner (1)
- Phenylalanine determination (1)
- Potentiometry (1)
- Process model (1)
- Profile Extraction (1)
- Profile extraction (1)
- Proteine (1)
- Pseudomonas putida (1)
- Quartz crystal nanobalance (QCN) (1)
- Quartz micro balances (1)
- Query learning (1)
- Random variable (1)
- Ratcheting (1)
- Reaction-diffusion (1)
- Relation classification (1)
- Reliability of structures (1)
- Reproducible research (1)
- Sensitivity (1)
- Sepsis (1)
- Sleep EEG (1)
- Solid amalgam electrodes (1)
- Stochastic programming (1)
- Supraleiter (1)
- Technische Mechanik (1)
- Text Mining (1)
- Text mining (1)
- Tin oxide (1)
- Tobacco mosaic virus (1)
- Traglast (1)
- Traglastanalyse (1)
- Training (1)
- Trustworthy artificial intelligence (1)
- UML (1)
- Unified Modeling Language (1)
- Wafer (1)
- Wasserbrücke (1)
- Wasserstoffperoxid (1)
- Wellen (1)
- Workflow (1)
- Workflow Orchestration (1)
- acetoin (1)
- activated nanostructured carbon (1)
- aktivierte nanostrukturierte Kohlenstofffaser (1)
- ammonia gas sensors (1)
- amperometric sensor (1)
- antimony doped tin oxide (1)
- autofluorescence-based detection system (1)
- biopotential electrodes (1)
- capacitive field-effect biosensor (1)
- capillary micro-droplet cell (1)
- carcinogens (1)
- catalytic decomposition (1)
- chemical reduction method (1)
- contractile tension (1)
- cross sensitivity (1)
- cytosolic water diffusion (1)
- date palm tree (1)
- design-by-analysis (1)
- doped metal oxide (1)
- doped silicon (1)
- doping (1)
- electrical capacitance tomography (1)
- electro-migration (1)
- electronic noses dendronized polymers inverted mesa technology (1)
- enzymatic methods (1)
- enzyme immobilisation (1)
- enzyme immobilization (1)
- fenitrothion (1)
- finite element analysis (1)
- fluidic (1)
- gas sensor (1)
- gas sensor array (1)
- heater metallisation (1)
- hemoglobin (1)
- hemoglobin dynamics (1)
- high-temperature stability (1)
- humidity (1)
- hydrogel (1)
- hydrogen peroxide (1)
- image sensor (1)
- imaging (1)
- impedance spectroscopy (1)
- ion-selective electrodes (1)
- kontraktile Spannung (1)
- lab-on-a-chip (1)
- lab-on-chip (1)
- layer expansion (1)
- lenslet array (1)
- light scattering analysis (1)
- lightning flash (1)
- limit and shakedown analysis (1)
- limit load (1)
- linear kinematic hardening (1)
- lower bound theorem (1)
- magnetic particles (1)
- material shakedown (1)
- matrix method (1)
- mechanical waves (1)
- metal oxide (1)
- microreactor (1)
- microwave generation (1)
- modeling biosensor (1)
- modelling (1)
- modified electrode (1)
- multi-interface measurement (1)
- nanostructured carbonized plant parts (1)
- nanostrukturierte carbonisierte Pflanzenteile (1)
- nitrogen oxides (1)
- nonlinear kinematic hardening (1)
- nonlinear optimization (1)
- nonlinear solids (1)
- nonlinear tensor constitutive equation (1)
- organic PVC membranes (1)
- pH-based biosensing (1)
- pattern-size reduction (1)
- plant scanner (1)
- plasma generated ions (1)
- polymer composites (1)
- porous Pt electrode (1)
- principal component (1)
- probabilistic fracture mechanics (1)
- protein (1)
- quantum charging (1)
- ratchetting (1)
- reliability (1)
- rhAPC (1)
- screen-printing (1)
- second-order reliability method (1)
- self-aligned patterning (1)
- sensing properties (1)
- sensors (1)
- shakedown (1)
- sterilisation (1)
- subsurface ice research (1)
- subsurface probe (1)
- surface modification (1)
- swift heavy ions (1)
- thick-film technology (1)
- thin-film microsensors (1)
- voltammetry (1)
- wafer-level testing (1)
- water bridge phenomenon (1)
Institute
- Fachbereich Medizintechnik und Technomathematik (208) (remove)
An array of 50 MHz quartz microbalances (QMBs) coated with a dendronized polymer was used to detect small amounts of volatile organic compounds (VOCs) in the gas phase. The results were compared to those obtained with the commonly used 10 MHz QMBs. The 50 MHz QMBs proved to be a powerful tool for the detection of VOCs in the gas phase; therefore, they represent a promising alternative to the much more delicate surface acoustic wave devices (SAWs).
In energy economy forecasts of different time series are rudimentary. In this study, a prediction for the German day-ahead spot market is created with Apache Spark and R. It is just an example for many different applications in virtual power plant environments. Other examples of use as intraday price processes, load processes of machines or electric vehicles, real time energy loads of photovoltaic systems and many more time series need to be analysed and predicted.
This work gives a short introduction into the project where this study is settled. It describes the time series methods that are used in energy industry for forecasts shortly. As programming technique Apache Spark, which is a strong cluster computing technology, is utilised. Today, single time series can be predicted. The focus of this work is on developing a method to parallel forecasting, to process multiple time series simultaneously with R and Apache Spark.
This paper reports a first microbial biosensor for rapid and cost-effective determination of organophosphorus pesticides fenitrothion and EPN. The biosensor consisted of recombinant PNP-degrading/oxidizing bacteria Pseudomonas putida JS444 anchoring and displaying organophosphorus hydrolase (OPH) on its cell surface as biological sensing element and a dissolved oxygen electrode as the transducer. Surfaceexpressed OPH catalyzed the hydrolysis of fenitrothion and EPN to release 3-methyl-4-nitrophenol and p-nitrophenol, respectively, which were oxidized by the enzymatic machinery of Pseudomonas putida JS444 to carbon dioxide while consuming oxygen, which was measured and correlated to the concentration of organophosphates. Under the optimum operating conditions, the biosensor was able to measure as low as 277 ppb of fenitrothion and 1.6 ppm of EPN without interference from phenolic compounds and other commonly used pesticides such as carbamate pesticides, triazine herbicides and organophosphate pesticides without nitrophenyl substituent. The applicability of the biosensor to lake water was also demonstrated.
Conventional EEG devices cannot be used in everyday life and
hence, past decade research has been focused on Ear-EEG for mobile,
at-home monitoring for various applications ranging from
emotion detection to sleep monitoring. As the area available for
electrode contact in the ear is limited, the electrode size and location
play a vital role for an Ear-EEG system. In this investigation, we
present a quantitative study of ear-electrodes with two electrode
sizes at different locations in a wet and dry configuration. Electrode
impedance scales inversely with size and ranges from 450 kΩ to
1.29 MΩ for dry and from 22 kΩ to 42 kΩ for wet contact at 10 Hz.
For any size, the location in the ear canal with the lowest impedance
is ELE (Left Ear Superior), presumably due to increased contact
pressure caused by the outer-ear anatomy. The results can be used
to optimize signal pickup and SNR for specific applications. We
demonstrate this by recording sleep spindles during sleep onset
with high quality (5.27 μVrms).
The sorption of LPS toxic shock by nanoparticles on base of carbonized vegetable raw materials
(2008)
Immobilization of lactobacillus on high temperature carbonizated vegetable raw material (rice husk, grape stones) increases their physiological activity and the quantity of the antibacterial metabolits, that consequently lead to increase of the antagonistic activity of lactobacillus. It is implies that the use of the nanosorbents for the attachment of the probiotical microorganisms are highly perspective for decision the important problems, such as the probiotical preparations delivery to the right address and their attachment to intestines mucosa with the following detoxication of gastro-intestinal tract and the normalization of it’s microecology. Besides that, thus, the received carbonizated nanoparticles have peculiar properties – ability to sorption of LPS toxical shock and, hence, to the detoxication of LPS.
Useful market simulations are key to the evaluation of diferent market designs existing of multiple market mechanisms or rules. Yet a simulation framework which has a comparison of diferent market mechanisms in mind was not found. The need to create an objective view on different sets of market rules while investigating meaningful agent strategies concludes that such a simulation framework is needed to advance the research on this subject. An overview of diferent existing market simulation models is given which also shows the research gap and the missing capabilities of those systems. Finally, a methodology is outlined how a novel market simulation which can answer the research questions can be developed.
Market abstraction of energy markets and policies - application in an agent-based modeling toolbox
(2023)
In light of emerging challenges in energy systems, markets are prone to changing dynamics and market design. Simulation models are commonly used to understand the changing dynamics of future electricity markets. However, existing market models were often created with specific use cases in mind, which limits their flexibility and usability. This can impose challenges for using a single model to compare different market designs. This paper introduces a new method of defining market designs for energy market simulations. The proposed concept makes it easy to incorporate different market designs into electricity market models by using relevant parameters derived from analyzing existing simulation tools, morphological categorization and ontologies. These parameters are then used to derive a market abstraction and integrate it into an agent-based simulation framework, allowing for a unified analysis of diverse market designs. Furthermore, we showcase the usability of integrating new types of long-term contracts and over-the-counter trading. To validate this approach, two case studies are demonstrated: a pay-as-clear market and a pay-as-bid long-term market. These examples demonstrate the capabilities of the proposed framework.
Quartz crystal nanobalance (QCN) sensors are considered as powerful masssensitive sensors to determine materials in the sub-nanogram level. In this study, a single piezoelectric quartz crystal nanobalance modified with polystyrene was employed to detect benzene, toluene, ethylbenzene and xylene (BTEX compounds). The frequency shift of the QCN sensor was found to be linear against the BTEX compound concentrations in the range about 1-45 mg l-1. The correlation coefficients for benzene, toluene, ethylbenzene, and xylene were 0.991, 0.9977, 0.9946 and 0.9971, respectively. The principal component analysis was also utilized to process the frequency response data of the single piezoelectric crystal at different times, considering to the different adsorption-desorption dynamics of BTEX compounds. Using principal component analysis, it was found that over 90% of the data variance could still be explained by use of two principal components (PC1 and PC2). Subsequently, the successful identification of benzene and toluene was possible through the principal component analysis of the transient responses of the polystyrene modified QCN sensor. The results showed that the polystyrene-modified QCN had favorable identification and quantification performances for the BTEX compounds.
Detection of Adrenaline Based on Bioelectrocatalytical System to Support Tumor Diagnostic Technology
(2017)
An H2O2 sensor for the application in industrial sterilisation processes has been developed. Therefore, automated sterilisation equipment at laboratory scale has been constructed using parts from industrial sterilisation facilities. In addition, a software tool has been developed for the control of the sterilisation equipment at laboratory scale. First measurements with the developed sensor set-up as part of the sterilisation equipment have been performed and the sensor has been physically characterised by optical microscopy and SEM.