Filtern
Erscheinungsjahr
- 2022 (55) (entfernen)
Dokumenttyp
Volltext vorhanden
- ja (55)
Gehört zur Bibliographie
- nein (55)
Schlagworte
- Deutschland (8)
- COVID-19 (7)
- Pandemie (6)
- Covid-19 pandemic (4)
- Digitalisierung (4)
- Rapid Prototyping <Fertigung> (4)
- additive manufacturing (4)
- Algorithmus (3)
- Einzelhandel (3)
- Rückenschmerz (3)
- pandemic (3)
- public health (3)
- 3D-Druck (2)
- Anomalie <Medizin> (2)
- Anomalieerkennung (2)
- Apotheke (2)
- Biomonitoring (2)
- Electronic Commerce (2)
- Entrepreneurship (2)
- Erbbaurecht (2)
- Erbbauzins (2)
- Fused Deposition Modeling (2)
- Geschäftsmodell (2)
- Gesundheitsschutz (2)
- Gesundheitswesen (2)
- Insekten (2)
- Japan (2)
- Klimaänderung (2)
- Künstliche Intelligenz (2)
- Management (2)
- Maschinelles Lernen (2)
- Messung (2)
- Nachhaltigkeit (2)
- Neuronales Netz (2)
- Physikalische Therapie (2)
- Taiwan (2)
- Vertrauen (2)
- Virtuelle Realität (2)
- anomaly detection (2)
- business model (2)
- company law (2)
- digitalization (2)
- entrepreneurship (2)
- freedom of trade (2)
- human rights (2)
- insect monitoring (2)
- insolvency law (2)
- lifeboat ethics (2)
- low back pain (2)
- renewable energy (2)
- retail (2)
- stratified care (2)
- ultrasound (2)
- virtual reality (2)
- 24 GHz FMCW radar (1)
- 2D-FFT (1)
- 3D printing (1)
- AI (1)
- Absatzweg (1)
- Akquisition (1)
- Altersversorgung (1)
- Asylrecht (1)
- Ausstellungshalle (1)
- BASF Ultrafuse (1)
- Bank (1)
- Bartak (1)
- Bekleidungsindustrie (1)
- Bestäuber (1)
- Betriebliche Kennzahl (1)
- Betrug (1)
- Bindegewebe (1)
- Biodiversität (1)
- Biofeedback-Therapie (1)
- Biofilm (1)
- Bioklima (1)
- Biomasse (1)
- Bioreaktor (1)
- Boden (1)
- Bodenorganismus (1)
- Bodentemperatur (1)
- Brasilien (1)
- Bulgarien (1)
- CNN (1)
- CO2 (1)
- CO2-Bilanz (1)
- Canvas <Programm> (1)
- Charpy impact energy (1)
- China (1)
- Constitution of the Republic of South Africa (1)
- Controlling (1)
- Convolutional Neural Network (1)
- Cyanobakterien (1)
- DNN (1)
- Datenausgabe (1)
- Datensatz (1)
- Datenschutz (1)
- Design (1)
- Design Thinking (1)
- Dienstleistung (1)
- Digital Platform Canvas (1)
- Diskriminanzanalyse (1)
- Dynamometer (1)
- EHR (1)
- Eckenverrundung (1)
- Economic Value Added (1)
- Effizienz (1)
- Ehrlichkeit (1)
- Einstellung (1)
- Elektrischer Leiter (1)
- Elektronische Patientenakte (1)
- Elektrophysiologie (1)
- Ellbogengelenk (1)
- Energie (1)
- Energiemodell (1)
- Erbschaftssteuer (1)
- Erbschaftsteuer (1)
- Erwarteter Nutzen (1)
- Erweiterte Realität <Informatik> (1)
- Ethik (1)
- Europa (1)
- European Union (1)
- European pact on migration and asylum (1)
- Europäische Union (1)
- Evolventenverzahnung (1)
- Extruder (1)
- Falle (1)
- Fermentation (1)
- Festigkeit (1)
- Flüssigkristalline Polymere (1)
- Forschung (1)
- Fungizid (1)
- Führung (1)
- Ganganalyse (1)
- Gefühl (1)
- Gehen (1)
- Geometrie (1)
- Germany (1)
- Gesellschaftsrecht (1)
- Gesetzgebung (1)
- Getränkeindustrie (1)
- HR-management (1)
- Helix (1)
- Herbizid (1)
- Hochgeschwindigkeit (1)
- Hochverzahnung (1)
- ICU (1)
- ISM: magnetic fields (1)
- Impfung (1)
- Industrie 4.0 (1)
- Innerstaatliches Recht (1)
- Insolvenzrecht (1)
- Integrität (1)
- Intelligenz (1)
- Intensivstation (1)
- Internationaler Vergleich (1)
- Interstellare Materie (1)
- Interstellares Magnetfeld (1)
- Kapitalmarkt (1)
- Kennzahlensystem (1)
- Kleidung (1)
- Konfokale Mikroskopie (1)
- Konkurs (1)
- Kopfkürzung (1)
- Kosmische Hintergrundstrahlung (1)
- Kosmischer Staub (1)
- Kosteneffizienz (1)
- Kraftfahrzeughandel (1)
- Kreditwesen (1)
- Kreislaufwirtschaft (1)
- Kreuzschmerz (1)
- Kunststoff (1)
- Kupfer (1)
- LBP (1)
- LTER (1)
- Laborparameter (1)
- Landwirtschaft (1)
- Lebensmitteleinzelhandel (1)
- Leistungskennzahl (1)
- Leistungssportler (1)
- Lineare Optimierung (1)
- Logistik (1)
- Lufttemperatur (1)
- Luxembourg (1)
- Luxemburg (1)
- Malaise trap (1)
- Marketingkonzept (1)
- Markforged (1)
- Marktgerechtigkeit (1)
- Marokko (1)
- Maschinelles Sehen (1)
- Materialermüdung (1)
- Mediterranean region (1)
- Medizinische Informatik (1)
- Mehrwegverpackung (1)
- Menschenrecht (1)
- Metaverse (1)
- Metaversum (1)
- Meteorologische Station (1)
- Mexiko (1)
- Migration (1)
- Mikroklima (1)
- Mittelmeerraum (1)
- Modul (1)
- Musculus biceps brachii (1)
- Muskel-Skelett-Erkrankung (1)
- Muskelkater (1)
- Mustererkennung (1)
- Myalgie (1)
- NFC (1)
- Nahfeldkommunikation (1)
- Nanyang Technological University (1)
- Neukunde (1)
- Online-Shop (1)
- PETG (1)
- Pedografie (1)
- Permutation (1)
- Personalverwaltung (1)
- Pfandflasche (1)
- Pflanzliches Insektizid (1)
- Pflegepersonal (1)
- Photoreaktor (1)
- Polarisation (1)
- Portfoliomanagement (1)
- Portugal (1)
- Profilverschiebung (1)
- Punktetransfer (1)
- RFID (1)
- Radar (1)
- Rauigkeit (1)
- Rechnungslegung (1)
- Recycling (1)
- Rehabilitation (1)
- Rekursives neuronales Netz (1)
- Rendite (1)
- Rentenversicherung (1)
- Resilienz (1)
- Ressourcen am Arbeitsplatz (1)
- Reverse Logistik (1)
- Risiko (1)
- Robotik (1)
- Rumpf (1)
- Schmerz (1)
- Schrägverzahnung (1)
- Schädigung (1)
- Selbstbestimmungsrecht (1)
- Selbstorganisierende Karte (1)
- Selektives Laserschmelzen (1)
- Sepsis (1)
- Signalverarbeitung (1)
- Singapur (1)
- Softwareplattform (1)
- Solidarität (1)
- South Africa (1)
- Soziale Norm (1)
- Sporenbildung (1)
- Stagflation (1)
- Stationärer Handel (1)
- Statistik (1)
- Stereokamera (1)
- Stirnrad (1)
- Stress (1)
- Stressbewältigung (1)
- Stressor (1)
- Student (1)
- Supply Chain (1)
- Supply Chain Management (1)
- Synthetische Apertur (1)
- Südafrika (1)
- Tesselation (1)
- Tesselierung (1)
- Townes (1)
- Training (1)
- Transporttechnik (1)
- Trochoide (1)
- Ultraschall (1)
- Umwelt-Campus Birkenfeld (1)
- Unique Selling Proposition (1)
- Universität (1)
- Unsicherheit (1)
- Unsicherheiten (1)
- Unternehmensgründung (1)
- Unternehmensvermögen (1)
- Value at Risk (1)
- Verfassung (1)
- Vergleich (1)
- Vertrieb (1)
- Vertriebsorganisation (1)
- Vietnam (1)
- Wasser (1)
- Wassernutzung (1)
- Wasserreserve (1)
- Weibliche Führungskraft (1)
- Wertorientiertes Management (1)
- Wertorientierung (1)
- Wissenschaft (1)
- Wohnungswirtschaft (1)
- Work-Life-Balance (1)
- Wälzfräsen (1)
- Zahnkopfspiel (1)
- Zahnrad (1)
- Zahnradherstellung (1)
- Zentralnervensystem (1)
- agricultural sector (1)
- anomalies in permutations (1)
- artificial intelligence (1)
- augmented reality (1)
- banking sector (1)
- bankruptcy epidemic (1)
- biceps brachii (1)
- bioactive substances (1)
- biocarriers (1)
- bioclimatic variables (1)
- biodiversity (1)
- biofilm (1)
- bioreactor internals (1)
- botanical fungicides (1)
- botanical herbicides (1)
- botanical insecticides (1)
- building emissions (1)
- capital markets (1)
- car dealership (1)
- carbon footprinting (1)
- cash value added (1)
- charge storage capacity (CSCc) (1)
- cheating (1)
- classification (1)
- climate change (1)
- compulsory vaccination (1)
- compulsory vaccination pandemic (1)
- computer vision (1)
- confocal microscopy (1)
- connective tissue (1)
- consent (1)
- controlling (1)
- conversions (1)
- copper conductors (1)
- core (1)
- corporate asset (1)
- cosmic background radiation (1)
- cost efficiency (1)
- cross-country comparison (1)
- cross-cultural comparison (1)
- customer survey (1)
- deposit bottle (1)
- design (1)
- design thinking (1)
- digital clothing (1)
- digitalisation (1)
- digitalization in pharmacies (1)
- dust (1)
- ecological gradients (1)
- economic value added (1)
- ecosystems (1)
- electricity (1)
- electrode impedance (1)
- electrode model (1)
- electroplating (1)
- embodied emissions (1)
- embodied impacts (1)
- emergency legislations (1)
- emotional intelligence (1)
- emotionale Intelligenz (1)
- energy (1)
- energy modeling (1)
- energy system (1)
- energy system modeling (1)
- environmental effect (1)
- environmental impacts (1)
- ethics of commons (1)
- exercise (1)
- exergame (1)
- extinction (1)
- far range measurement (1)
- fatigue properties (1)
- female leadership (1)
- filament extruder (1)
- food retailing (1)
- foot pressure sensors (1)
- frequency back projection (FBP) (1)
- fundamental right (1)
- funded old-age pension (1)
- fungal growth (1)
- fungal pellets (1)
- fused deposition modeling (1)
- global maps (1)
- global solidarity (1)
- global warming potential (1)
- government grants (1)
- greenhouse gas emissions (1)
- ground leases (1)
- health protection (1)
- health technologies (1)
- heat (1)
- high speed (1)
- higher education (1)
- honesty (1)
- human gait (1)
- hyperloop (1)
- in-store health services (1)
- individual self-determination (1)
- industry 4.0 (1)
- inheritance tax legislation (1)
- insect communities (1)
- k-Means-Algorithmus (1)
- kapitalgedeckte Altersgrundsicherung (1)
- key performance indicator (1)
- lab values (1)
- land cover (1)
- leadership (1)
- lean startup (1)
- legislation (1)
- lightGBM (1)
- linear discriminant analysis (LDA) (1)
- machine learning (1)
- malaise trap (1)
- management (1)
- market conformity (1)
- marketing concepts (1)
- material extrusion (1)
- mechanical testing (1)
- mechanism of action (1)
- medical informatics (1)
- methods: numerical (1)
- microclimate (1)
- minimizing the number of resources (1)
- mixed integer linear programming (1)
- modeling (1)
- morphology (1)
- muscle damage (1)
- muscle pain (1)
- musculoskeletal disorder (1)
- near range measurement (1)
- near-surface temperatures (1)
- new client acquisition (1)
- non-specifc (1)
- nursing staff (1)
- occupation (1)
- open society (1)
- optimal expected utility (1)
- optimization (1)
- pact on migration and asylum (1)
- perfect schedule (1)
- performance measurement systems (1)
- personal data protection (1)
- perturbation (1)
- pharmaceutical services (1)
- pharmacy 4.0 (1)
- photobioreactor (1)
- physiotherapy (1)
- plastics recycling (1)
- platinum (1)
- polarization (1)
- pollinator (1)
- portfolio optimization (1)
- pose estimation (1)
- profession (1)
- protection of personal data (1)
- public health-technology (1)
- pulsed current (1)
- qualitative study (1)
- recommendation for action (1)
- recurrent neural networks (1)
- rehabilitation (1)
- relational autonomy (1)
- relational embodied ethics of the commons (1)
- repeated-batch fermentation (1)
- research integrity (1)
- resilience (1)
- retail clinics (1)
- retail pharmacies (1)
- return logistics (1)
- reusable packaging (1)
- right to medical self-determination (1)
- risk (1)
- risk measures (1)
- risk of falls (1)
- sales (1)
- sales development (1)
- self organizing maps (SOM) (1)
- signal processing algorithm (1)
- single-processor scheduling (1)
- social norms (1)
- soil temperature (1)
- soil-dwelling organisms (1)
- sporulation conditions (1)
- state health protection (1)
- statutory pension insurance scheme (1)
- stereoscopic cameras (1)
- stl (1)
- strategy (1)
- stress (1)
- students’ mindsets (1)
- submillimeter: ISM (1)
- supply chain (1)
- surface roughness (1)
- sustainability (1)
- synthetic aperture radar (SAR) (1)
- technology (1)
- temperature offset (1)
- tensile strength (1)
- terrestrial cyanobacteria (1)
- the commons (1)
- thermal performance (1)
- time series classification (1)
- training intervention (1)
- transport (1)
- transport safe (1)
- transportation technology (1)
- trap selectivity (1)
- trunk stability (1)
- trust (1)
- trust in science (1)
- umlagefinanzierte gesetzliche Rentenversicherung (1)
- uncertainties (1)
- university carbon footprint (1)
- university sustainability (1)
- value at risk (1)
- value-based management (1)
- virtual store (1)
- water resources (1)
- water security (1)
- weather stations (1)
- weibliche Führung (1)
- workplace stressors (1)
- yield (1)
- zero emission university (1)
- Übung (1)
Institut
- FB Bauen + Leben (17)
- FB Umweltplanung/-technik (UCB) (11)
- InDi - Institut für Internationale und Digitale Kommunikation (7)
- FB Informatik + Therapiewissenschaft (6)
- FB Umweltwirtschaft/-recht (UCB) (6)
- FB Technik (5)
- FB Wirtschaft (2)
- IfaS - Institut für angewandtes Stoffstrommanagement (1)
- LaROS - Labor für Radiotechnologie und optische Systeme (1)
Concerning human and environmental health, safe alternatives to synthetic pesticides are urgently needed. Many of the currently used synthetic pesticides are not authorized for application in organic agriculture. In addition, the developed resistances of various pests against classical pesticides necessitate the urgent demand for efficient and safe products with novel modes of action. Botanical pesticides are assumed to be effective against various crop pests, and they are easily biodegradable and available in high quantities and at a reasonable cost. Many of them may act by diverse yet unexplored mechanisms of action. It is therefore surprising that only few plant species have been developed for commercial usage as biopesticides. This article reviews the status of botanical pesticides, especially in Europe and Mediterranean countries, deepening their active principles and mechanisms of action. Moreover, some constraints and challenges in the development of novel biopesticides are highlighted.
Background: Stratified care has the potential to be efficient in addressing the physical and psychosocial components of low back pain (LBP) and optimise treatment outcomes essential in low-income countries. This study aimed to investigate the perceptions of physiotherapists and patients in Nigeria towards stratified care for the treatment of LBP, exploring barriers and enablers to implementation.
Methods: A qualitative design with semistructured individual telephone interviews for physiotherapists and patients with LBP comprising research evidence and information on stratified care was adopted. Preceding the interviews, patients completed the Subgroups for Targeted Treatment tool. The interviews were recorded, transcribed and analysed following grounded theory methodology.
Results: Twelve physiotherapists and 13 patients with LBP participated in the study (11 female, mean age 42.8 (SD 11.47) years). Seven key categories emerged: recognising the need for change, acceptance of innovation, resistance to change, adapting practice, patient’s learning journey, trusting the therapist and needing conviction. Physiotherapists perceived stratified care to be a familiar approach based on their background training. The prevalent treatment tradition and the patient expectations were seen as major barriers to implementation of stratified care by the physiotherapists. Patients see themselves as more informed than therapists realise, yet they need conviction through communication and education to cooperate with their therapist using this approach. Viable facilitators were also identified as patients’ trust in the physiotherapist and adaptations in terms of training and modification of the approach to enhance its use.
Conclusion: Key barriers identified are the patients’ treatment expectations and physiotherapists’ adherence to the tradition of practice. Physiotherapists might facilitate implementation of the stratified care by communication, hierarchical implementation and utilisation of patients’ trust. Possibilities to develop a consensus on key strategies to overcome barriers and on utilisation of facilitators should be tested in future research.
Background: In recent years, the volume of medical knowledge and health data has increased rapidly. For example, the increased availability of electronic health records (EHRs) provides accurate, up-to-date, and complete information about patients at the point of care and enables medical staff to have quick access to patient records for more coordinated and efficient care. With this increase in knowledge, the complexity of accurate, evidence-based medicine tends to grow all the time. Health care workers must deal with an increasing amount of data and documentation. Meanwhile, relevant patient data are frequently overshadowed by a layer of less relevant data, causing medical staff to often miss important values or abnormal trends and their importance to the progression of the patient’s case.
Objective: The goal of this work is to analyze the current laboratory results for patients in the intensive care unit (ICU) and classify which of these lab values could be abnormal the next time the test is done. Detecting near-future abnormalities can be useful to support clinicians in their decision-making process in the ICU by drawing their attention to the important values and focus on future lab testing, saving them both time and money. Additionally, it will give doctors more time to spend with patients, rather than skimming through a long list of lab values.
Methods: We used Structured Query Language to extract 25 lab values for mechanically ventilated patients in the ICU from the MIMIC-III and eICU data sets. Additionally, we applied time-windowed sampling and holding, and a support vector machine to fill in the missing values in the sparse time series, as well as the Tukey range to detect and delete anomalies. Then, we used the data to train 4 deep learning models for time series classification, as well as a gradient boosting–based algorithm and compared their performance on both data sets.
Results: The models tested in this work (deep neural networks and gradient boosting), combined with the preprocessing pipeline, achieved an accuracy of at least 80% on the multilabel classification task. Moreover, the model based on the multiple convolutional neural network outperformed the other algorithms on both data sets, with the accuracy exceeding 89%.
Conclusions: In this work, we show that using machine learning and deep neural networks to predict near-future abnormalities in lab values can achieve satisfactory results. Our system was trained, validated, and tested on 2 well-known data sets to ensure that our system bridged the reality gap as much as possible. Finally, the model can be used in combination with our preprocessing pipeline on real-life EHRs to improve patients’ diagnosis and treatment.
In this paper, the mechanical damage behavior is investigated based on the characteristic roughness on the surface and the orientation of superficial structures. The main goal is to explore the surface roughness on mechanically loaded copper conductors as a lifetime indicator. For this purpose, copper conductors are mechanically stressed in accordance with EN 50,396 and then examined metallographically and microscopically. The microstructure examination shows that the roughness is caused by material extrusion and cracks due to work hardening in the surface area. Using confocal microscopy, it is shown for the first time that significant formation of surface roughness takes place over the service life of copper conductors. The roughness increases monotonically, but not linearly with number of cycles, due to internal microstructural processes and can be divided into three sections. First inspections of the conductor surface over lifetime show a correlation between the intensity of structures orientated 45° to the loading direction and the roughness. This phenomenon, already known from microscopic slip lines, is thus also evident in macroscopic roughness formation and is well founded by the research theory on material extrusion along dislocation lines. In summary, a lifetime determination is possible based on its developing roughness which enables the utilization as a sensor element.
Geometrieerzeugung von Evolventenzahntrieben: Profilverschobene schrägverzahnte Stirnzahnräder
(2022)
In dieser Arbeit wird die Zahnradgeometrie von Stirnrädern berechnet und formatiert, um sie in ein CAD-Programm zu übertragen. Dabei werden die Konturen der Evolvente und der Trochoide nach den gleichen Regel wie bei der Herstellung durch Wälzfräsen erzeugt. Der Anwender hat die Möglichkeit die Haupteigenschaften wie Modul, Zahnkopfspiel und Eckenverrundung einzugeben. Zusätzlich können auch schrägverzahnte, profilverschobene Stirnräder mit Hochverzahnung und Kopfkürzung erzeugt werden.
Per Datenausgabe werden die Koordinaten gespeichert und durch ein Makro in das CAD-Programm übertragen. Aus den beiden Konturzügen wird der 3D-Körper durch Austragen entlang der Helix erzeugt.
Zur Weiterverarbeitung wird die Zahnradgeometrie nach manueller Tesselierung in ein universales Dateiformat exportiert.
In 2019 at IBM, it was found that there is a strong dependence on a few large banks in bank sales, and the growth targets of the sales division cannot be achieved due to the existing business with these same customers. To counteract this dependency, an NCA-specific sales team for the banking industry was established to support small and medium-sized banks with personal commitment and expertise and to develop them into long-term business partners of IBM. This research focuses on the development of a performance measurement system for NCA-Sales teams. It postulates the hypothesis that more effective and better-suited performance measurement systems can be developed for NCA-Sales of information technology towards financial institutions. Authors use the methodology of expert interviews and Mayrings qualitative content analysis to gain insights into the relevant factors that need to be considered when evaluating the performance of such sales teams. The paper identifies stakeholders, challenges, and goals that should be integrated into a performance measurement system as well as KPIs to measure them. The results are being consolidated into a conceptual sketch for an NCA-sales optimized PMS. The paper distinguishes itself from other research through an approach that gives detailed guidance for the practical implementation of its findings. The research was conducted with professionals in the IT sector; however, all of them were working for the same company, and the data was collected in the short span of one week as it was part of a research. The outcome can be used for further studies on how to effectively measure performance in NCA-Sales teams.
Numerous research methods have been developed to detect anomalies in the areas of security and risk analysis. In healthcare, there are numerous use cases where anomaly detection is relevant. For example, early detection of sepsis is one such use case. Early treatment of sepsis is cost effective and reduces the number of hospital days of patients in the ICU. There is no single procedure that is sufficient for sepsis diagnosis, and combinations of approaches are needed. Detecting anomalies in patient time series data could help speed the development of some decisions. However, our algorithm must be viewed as complementary to other approaches based on laboratory values and physician judgments. The focus of this work is to develop a hybrid method for detecting anomalies that occur, for example, in multidimensional medical signals, sensor signals, or other time series in business and nature. The novelty of our approach lies in the extension and combination of existing approaches: Statistics, Self Organizing Maps and Linear Discriminant Analysis in a unique and unprecedented way with the goal of identifying different types of anomalies in real-time measurement data and defining the point where the anomaly occurs. The proposed algorithm not only has the full potential to detect anomalies, but also to find real points where an anomaly starts.
In the single-processor scheduling problem with time restrictions there is one main processor and B resources that are used to execute the jobs. A perfect schedule has no idle times or gaps on the main processor and the makespan is therefore equal to the sum of the processing times. In general, more resources result in smaller makespans, and as it is in practical applications often more economic not to mobilize resources that will be unnecessary and expensive, we investigate in this paper the problem to find the smallest number B of resources that make a perfect schedule possible. We show that the decision version of this problem is NP-complete, derive new structural properties of perfect schedules, and we describe a Mixed Integer Linear Programming (MIP) formulation to solve the problem. A large number of computational tests show that (for our randomly chosen problem instances) only B=3 or B=4 resources are sufficient for a perfect schedule.
In this paper two simple synthetic aperture radar (SAR) methods are applied on data from a 24 GHz FMCW radar implemented on a linear drive for educational purposes. The data of near and far range measurements are evaluated using two different SAR signal processing algorithms featuring 2D-FFT and frequency back projection (FBP) method (Moreira et al., 2013). A comparison of these two algorithms is performed concerning runtime, image pixel size, azimuth and range resolution. The far range measurements are executed in a range of 60 to 135 m by monitoring cars in a parking lot. The near range measurement from 0 to 5 m are realised in a measuring chamber equipped with absorber foam and nearly ideal targets like corner reflectors. The comparison of 2D-FFT and FBP algorithm shows that both deliver good and similar results for the far range measurements but the runtime of the FBP algorithm is up to 150 times longer as the 2D-FFT runtime. In the near range measurements the FBP algorithm displays a very good azimuth resolution and targets which are very close to each other can be separated easily. In contrast to that the 2D-FFT algorithm has a lower azimuth resolution in the near range, thus targets which are very close to each other, merge together and cannot be separated.
While the contribution of renewable energy technologies to the energy system is increasing, so is its level of complexity. In addition to new types of consumer systems, the future system will be characterized by volatile generation plants that will require storage technologies. Furthermore, a solid interconnected system that enables the transit of electrical energy can reduce the need for generation and storage systems. Therefore, appropriate methods are needed to analyze energy production and consumption interactions within different system constellations. Energy system models can help to understand and build these future energy systems. However, although various energy models already exist, none of them can cover all issues related to integrating renewable energy systems. The existing research gap is also reflected in the fact that current models cannot model the entire energy system for very high shares of renewable energies with high temporal resolution (15 min or 1-h steps) and high spatial resolution. Additionally, the low availability of open-source energy models leads to a lack of transparency about exactly how they work. To close this gap, the sector-coupled energy model (UCB-SEnMod) was developed. Its unique features are the modular structure, high flexibility, and applicability, enabling it to model any system constellation and can be easily extended with new functions due to its software design. Due to the software architecture, it is possible to map individual buildings or companies and regions, or even countries. In addition, we plan to make the energy model UCB-SEnMod available as an open-source framework to enable users to understand the functionality and configuration options more easily. This paper presents the methodology of the UCB-SEnMod model. The main components of the model are described in detail, i.e., the energy generation systems, the consumption components in the electricity, heat, and transport sectors, and the possibilities of load balancing.