SeeBridge Information Delivery Manual (IDM) for Next Generation Bridge Inspection

Innovative solutions for rapid and intelligent survey and assessment methods are required in maintenance, repair, retrofit and rebuild of enormous numbers of bridges in service throughout the world. Motivated by this need, a next-generation integrated bridge inspection system named SeeBridge is proposed. To frame the system, an Information Delivery Manual (IDM) was compiled to specify the technical components, activities and information exchanges in the SeeBridge process. The IDM supports development of the system by rigorously defining the information and data repositories that structure bridge engineers’ knowledge. The SeeBridge process is mapped, parts of the data repositories are presented and the future use of the IDM is discussed

Describing the ground state of quantum systems through statistical mechanics

We present a statistical mechanics description to study the ground state of quantum systems. In this approach, averages for the complete system are calculated over the non-interacting energy levels. Taking different interaction parameter, the particles of the system fall into non-interacting microstates, corresponding to different occupation probabilities for these energy levels. Using this novel thermodynamic interpretation we study the Hubbard model for the case of two electrons in two sites and for the half-filled band on a one-dimensional lattice. We show that the form of the entropy depends on the specific system considered.Comment: 8 page

"Built Environment Digital Twining"

A digital twin is a digital replica of a real-world physical entity (El Saddik 2018). The concept is already widely used in the manufacturing sector. In the built environment sector, digital twins are gradually entering the conversation as they can offer substantial value to all associated stakeholders. This report is the outcome of the International Workshop on Built Environment Digital Twinning, which was co-sponsored by the Institute for Advanced Study of Technical University of Munich (TUM-IAS) and Siemens AG

Semantic Enrichment for Building Information Modeling: Procedure for Compiling Inference Rules and Operators for Complex Geometry

Semantic enrichment of building models adds meaningful domain-specific or application-specific information to a digital building model. It is applicable to solving interoperability problems and to compilation of models from point cloud data. The SeeBIM (Semantic Enrichment Engine for BIM) prototype software encapsulates domain expert knowledge in computer readable rules for inference of object types, identity and aggregation of systems. However, it is limited to axis-aligned bounding box geometry and the adequacy of its rule-sets cannot be guaranteed. This paper solves these drawbacks by (1) devising a new procedure for compiling inference rule sets that are known a priori to be adequate for complete and thorough classification of model objects, and (2) enhancing the operators to compute complex geometry and enable precise topological rule processing. The procedure for compiling adequate rule sets is illustrated using a synthetic concrete highway bridge model. A real-world highway bridge model, with 333 components of 13 different types and compiled from a laser scanned point cloud, is used to validate the approach and test the enhanced SeeBIM system. All of the elements are classified correctly, demonstrating the efficacy of the approach to semantic enrichment

Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering

This publication is the Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering from July 6-8, 2022. The EG-ICE International Workshop on Intelligent Computing in Engineering brings together international experts working on the interface between advanced computing and modern engineering challenges. Many engineering tasks require open-world resolution of challenges such as supporting multi-actor collaboration, coping with approximate models, providing effective engineer-computer interaction, search in multi-dimensional solution spaces, accommodating uncertainty, including specialist domain knowledge, performing sensor-data interpretation and dealing with incomplete knowledge. While results from computer science provide much initial support for resolution, adaptation is unavoidable and most importantly, feedback from addressing engineering challenges drives fundamental computer-science research. Competence and knowledge transfer goes both ways. &nbsp

Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering

This publication is the Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering from July 6-8, 2022. The EG-ICE International Workshop on Intelligent Computing in Engineering brings together international experts working on the interface between advanced computing and modern engineering challenges. Many engineering tasks require open-world resolution of challenges such as supporting multi-actor collaboration, coping with approximate models, providing effective engineer-computer interaction, search in multi-dimensional solution spaces, accommodating uncertainty, including specialist domain knowledge, performing sensor-data interpretation and dealing with incomplete knowledge. While results from computer science provide much initial support for resolution, adaptation is unavoidable and most importantly, feedback from addressing engineering challenges drives fundamental computer-science research. Competence and knowledge transfer goes both ways. &nbsp

Combining airborne images and open data to retrieve knowledge of construction sites

Construction site planning is based on both explicit knowledge, as retrieved from regulations, and implicit knowledge, arising from experience. To retrieve and formalize rules from implicit knowledge, past construction projects can be analyzed. In this paper, we present an image analysis pipeline to retrieve information on past construction sites from airborne images. We fuse machine learning based image analysis with georeferencing and openly available geospatial data to retrieve a detailed description with true dimensions of the construction site at hand

Cognitive dysfunction or chemobrain

Cognitive dysfunction (CD) occurred in up to 50% of patients with cancer during or after cancer therapy. The CD can occur in the context of a chemotherapeutic treatment, as well as in radiation therapy or after anesthesia in connection with surgery. The symptoms can be deteriorate up to half a year after the end of the treatment and in several studies up to 70% of the patients suffering from CD. The pathomechanisms of the CD are rudimentary understood and it seems to be a multifactoral origin. In addition, the impact of possible risk factors is still unclear.Eine kognitive Dysfunktion (KD) wird von bis zu 50% der Patienten mit einer Krebserkrankung während oder nach einer akutmedizinischen Behandlung beschrieben. Dabei kann die KD im Rahmen einer chemotherapeutischen Behandlung, als auch bei Strahlentherapie oder nach einer längeren Narkose bei Operationen auftreten. Die Symptomatik kann sich bis zu einem halben Jahr nach Ende der akutmedizinischen Behandlung noch weiter verschlechtern und erreicht dann in einzelnen Studien einen Anteil von bis zu 70%. Die Pathomechanismen der KD sind nur ansatzweise verstanden und es scheint sich am ehesten um ein multifaktorielles Geschehen zu handeln. Darüber hinaus ist die Bedeutung der einzelnen möglichen Risikofaktoren weiterhin unklar