Refine
Year of publication
Institute
- ECSM European Center for Sustainable Mobility (113) (remove)
Has Fulltext
- no (113) (remove)
Document Type
- Conference Proceeding (59)
- Article (35)
- Part of a Book (7)
- Patent (3)
- Report (3)
- Conference: Meeting Abstract (2)
- Conference Poster (2)
- Book (1)
- Doctoral Thesis (1)
Keywords
- Energy storage (4)
- Power plants (4)
- Associated liquids (3)
- Concentrated solar power (3)
- Hybrid energy system (3)
- Electricity generation (2)
- Smart Building (2)
- Solar thermal technologies (2)
- UAV (2)
- electro mobility (2)
- 3D object detection (1)
- Active humidity control (1)
- Aircraft design (1)
- Android (1)
- Anomalieerkennung (1)
- BIM (1)
- Brake set-up (1)
- Braking curves (1)
- Building Automation (1)
- Bumblebees (1)
- CCD-Bildwandler (1)
- CO2 (1)
- CO2 emission reduction targets (1)
- Camera system (1)
- Capacity Building Higher Education (1)
- Carbon Dioxide (1)
- Ceramics (1)
- Cloud passages (1)
- Commercial Vehicle (1)
- Common Rail Injection System (1)
- Conpot (1)
- Control optimization (1)
- Correlations (1)
- Cost function (1)
- Cybersecurity (1)
- Cybersicherheit (1)
- DNI forecast (1)
- DNI forecasting (1)
- Decision theory (1)
- Deep learning (1)
- Design rules (1)
- Diesel Engine (1)
- DiggiTwin (1)
- Digital triage (1)
- Digitalisierung (1)
- Direct normal irradiance forecast (1)
- District data model (1)
- District energy planning platform (1)
- Drag (1)
- Dreidimensionale Bildverarbeitung (1)
- Driver assistance system (1)
- Driving cycle recognition (1)
- Dynamic simulation (1)
- ECMS (1)
- Education (1)
- Electrochemical impedance spectroscopy (1)
- Electrochemistry (1)
- Energy Disaggregation (1)
- Energy management strategies (1)
- Energy system planning (1)
- Erasmus+ United (1)
- European Framework and South East Asia (1)
- European Transient Cycle (1)
- Flight control (1)
- Freight rail (1)
- Geometry (1)
- Global change (1)
- Green aircraft (1)
- Guide Tube (1)
- Heliostat Field Calibration (1)
- Heliostats (1)
- Home Assistant (1)
- Home Automation Platform (1)
- Human factors (1)
- Hybrid-electric aircraft (1)
- ICS (1)
- IT-Sicherheit (1)
- Image Database (1)
- Image Forensics (1)
- Impedance analysis (1)
- Informationssicherheit (1)
- Informationssicherheitsmanagement (1)
- IoT (1)
- Kalman filter (1)
- Klassifikator <Informatik> (1)
- LiDAR (1)
- MAV (1)
- Machine Learning (1)
- Malaysian Automotive Industry (1)
- Malaysian automotive industry (1)
- Measuring instruments (1)
- Mobile Phones (1)
- Molten salt receiver (1)
- Molten salt receiver system (1)
- Molten salt receiver system, (1)
- Molten salt solar tower (1)
- Multi-objective optimization (1)
- Nowcasting (1)
- Nozzle (1)
- Objekterkennung (1)
- Obstacle avoidance (1)
- Open Source (1)
- PEM fuel cell (1)
- PEM fuel cells (1)
- PTC (1)
- Parabolic trough collector (1)
- Path planning (1)
- Photovoltaics (1)
- Predictive battery discharge (1)
- Process prediction (1)
- Quadrocopter (1)
- Relative air humidity (1)
- Renewable energy integration (1)
- Selective Catalytic Reduction (1)
- Sharing mobility (1)
- Shunting (1)
- Solar irradiance (1)
- Star design (1)
- Statistics (1)
- Suction (1)
- TICTOP (1)
- Technology Transfer (1)
- Thermal Energy Storage (1)
- Three-dimensional displays (1)
- Transient flux distribution (1)
- Triage-app (1)
- Two-phase modelling (1)
- UTeM Engineering Knowledge Transfer Unit (1)
- Uncertainty analysis (1)
- Unmanned Air Vehicle (1)
- Unmanned aerial vehicle (1)
- Vorverarbeitung (1)
- adaptive systems (1)
- artificial intelligence (1)
- assistance system (1)
- autonomous driving (1)
- aviation application (1)
- business models (1)
- control system (1)
- cybersecurity (1)
- digitalization (1)
- dissemination (1)
- do-it-yourself (1)
- education (1)
- electrically driven compressors (1)
- embedded hardware (1)
- energy transition (1)
- fuel cell (1)
- fuel cell systems (1)
- fuel cell vehicle (1)
- gamification (1)
- health management systems (1)
- honeynet (1)
- honeypot (1)
- information systems (1)
- intelligent control (1)
- intelligent energy management (1)
- internal combustion engine (1)
- machine learning (1)
- manufacturing (1)
- mobility behaviour (1)
- open educational resources (1)
- optimization system (1)
- renewable energies (1)
- sensor networks (1)
- technology transfer (1)
- Überwachung & Optimierung (1)
In general aviation, too, it is desirable to be able to operate existing internal combustion engines with fuels that produce less CO₂ than Avgas 100LL being widely used today It can be assumed that, in comparison, the fuels CNG, LPG or LNG, which are gaseous under normal conditions, produce significantly lower emissions. Necessary propulsion system adaptations were investigated as part of a research project at Aachen University of Applied Sciences.
Auch in der allgemeinen Luftfahrt wäre es wünschenswert, die bereits vorhandenen Verbrennungsmotoren mit weniger CO₂-trächtigen Kraftstoffen als dem heute weit verbreiteten Avgas 100LL betreiben zu können. Es ist anzunehmen, dass im Vergleich die unter Normalbedingungen gasförmigen Kraftstoffe CNG, LPG oder LNG deutlich weniger Emissionen produzieren. Erforderliche Antriebssystemanpassungen wurden im Rahmen eines Forschungsprojekts an der FH Aachen untersucht.
This paper addresses the pixel based recognition of 3D objects with bidirectional associative memories. Computational power and memory requirements for this approach are identified and compared to the performance of current computer architectures by benchmarking different processors. It is shown, that the performance of special purpose hardware, like neurocomputers, is between one and two orders of magnitude higher than the performance of mainstream hardware. On the other hand, the calculation of small neural networks is performed more efficiently on mainstream processors. Based on these results a novel concept is developed, which is tailored for the efficient calculation of bidirectional associative memories. The computational efficiency is further enhanced by the application of algorithms and storage techniques which are matched to characteristics of the application at hand.
This paper addresses the pixel based classification of three dimensional objects from arbitrary views. To perform this task a coding strategy, inspired by the biological model of human vision, for pixel data is described. The coding strategy ensures that the input data is invariant against shift, scale and rotation of the object in the input domain. The image data is used as input to a class of self organizing neural networks, the Kohonen-maps or self-organizing feature maps (SOFM). To verify this approach two test sets have been generated: the first set, consisting of artificially generated images, is used to examine the classification properties of the SOFMs; the second test set examines the clustering capabilities of the SOFM when real world image data is applied to the network after it has been preprocessed to be invariant against shift, scale and rotation. It is shown that the clustering capability of the SOFM is strongly dependant on the invariance coding of the images.
This paper describes the realization of a novel neurocomputer which is based on the concepts of a coprocessor. In contrast to existing neurocomputers the main interest was the realization of a scalable, flexible system, which is capable of computing neural networks of arbitrary topology and scale, with full independence of special hardware from the software's point of view. On the other hand, computational power should be added, whenever needed and flexibly adapted to the requirements of the application. Hardware independence is achieved by a run time system which is capable of using all available computing power, including multiple host CPUs and an arbitrary number of neural coprocessors autonomously. The realization of arbitrary neural topologies is provided through the implementation of the elementary operations which can be found in most neural topologies.
Aim of the AXON2 project (Adaptive Expert System for Object Recogniton using Neuml Networks) is the development of an object recognition system (ORS) capable of recognizing isolated 3d objects from arbitrary views. Commonly, classification is based on a single feature extracted from the original image. Here we present an architecture adapted from the Mixtures of Eaqerts algorithm which uses multiple neuml networks to integmte different features. During tmining each neural network specializes in a subset of objects or object views appropriate to the properties of the corresponding feature space. In recognition mode the system dynamically chooses the most relevant features and combines them with maximum eficiency. The remaining less relevant features arz not computed and do therefore not decelerate the-recognition process. Thus, the algorithm is well suited for ml-time applications.
Environmental emissions, global warming, and energy-related concerns have accelerated the advancements in conventional vehicles that primarily use internal combustion engines. Among the existing technologies, hydrogen fuel cell electric vehicles and fuel cell hybrid electric vehicles may have minimal contributions to greenhouse gas emissions and thus are the prime choices for environmental concerns. However, energy management in fuel cell electric vehicles and fuel cell hybrid electric vehicles is a major challenge. Appropriate control strategies should be used for effective energy management in these vehicles. On the other hand, there has been significant progress in artificial intelligence, machine learning, and designing data-driven intelligent controllers. These techniques have found much attention within the community, and state-of-the-art energy management technologies have been developed based on them. This manuscript reviews the application of machine learning and intelligent controllers for prediction, control, energy management, and vehicle to everything (V2X) in hydrogen fuel cell vehicles. The effectiveness of data-driven control and optimization systems are investigated to evolve, classify, and compare, and future trends and directions for sustainability are discussed.