Falls from heights: A computer vision-based approach for safety harness detection

Automated dimensional quality assurance of full-scale precast concrete elements using laser scanning and BIM

A scientometric analysis and critical review of construction related ontology research

A deep learning-based approach for mitigating falls from height with computer vision: Convolutional neural network

Digital twinning of existing reinforced concrete bridges from labelled point clusters

https://pure.hud.ac.uk/ws/files/12923249/AutCon_2017_.pdf

SeeBridge as next generation bridge inspection: Overview, Information Delivery Manual and Model View Definition

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.

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000705

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

Today's model checking applications are capable of checking building models for conformance to code clauses which restrict explicit dimension values, but very little more than that. Complex, implicit code clauses are still beyond the scope of such applications. Much research and development is needed for semantic enrichment (to pre-process models for checking) and for automating checking of complex conditions. A review of the state-of-the-art reveals that research and development has been limited to the application of symbolic AI methods, such as rule inferencing. Based on this review and on a set of early experiments designed to test basic feasibility, the authors propose a framework for research and development that specifically extends current thinking to include machine learning methods for both semantic enrichment and model review. Machine learning is shown to be applicable in situations where expression of the constraints in the form of explicit rules is impractical.

Automating Design Review with Artificial Intelligence and BIM: State of the Art and Research Framework

A review of the state of the art in the field of automated code compliance checking revealed that existing applications are limited in the scope of clauses they are able to check. While some building code clauses are straightforward, requiring direct checking of parameter values, others depend on the topological relationships among objects, making automated checking of BIM models more challenging. Moreover, existing applications require the user to extensively preprocess the model in preparation for checking. We propose applying semantic enrichment for pre-processing the BIM models. The goal of a semantic enrichment process in support of automated code compliance checking is to derive the needed clause test values automatically and to represent them explicitly. A successful semantic enrichment process can therefore widen the scope of requirements that can be checked automatically. This work demonstrates such a process for checking code clauses involving topologically complex requirements. Although semantic enrichment proved to be successful for several purposes in previous research, dealing with complex topologies involves different types of semantic enrichment tasks. We explore the subject through a test case of requirements from the Israeli code for security rooms.

/pdf/automated-model-checking-for-topologically-complex-code-sfe2535jpg.pdf

Automated model checking for topologically complex code requirements – security room case study

Through analysis of the complex discourse surrounding trauma and loss, this book provides a necessary examination of temporality and ethics in Israeli film and television since the turn of the millennium. The author examines posttraumatic idioms of fragmentation and incoherence, highlighting the rising resistance towards generic categories, and the turn to unconventional and paradoxical structures with unique aesthetics. Maintaining that contemporary Israeli cinema has undergone an ethical shift, the author examines the revealing traumas and denied identities that also seek alternative ways to confront ethical question of accountability. It discusses the relationships between trauma, nationalism, and cinema through the intertwined perspectives of feminism, queer theory, and critical race and postcolonial studies, showing how national traumas are constructed by notions of gendered, sexual, and racial identity. This innovative text highlights the complexities of discourse surrounding trauma and loss, informed by multiple categories of difference. Across each chapter various elements of Israeli film are explored, spanning from strategies used to critically examine victim-perpetrator dynamics, co-existence in temporal space, women’s cinema in Israel, displacement, and queer communities and identity. Beyond its direct contribution to cinema studies and Israel studies, the book will be of interest to trauma and memory studies, postcolonial studies, gender and sexuality studies, Jewish studies, Middle Eastern studies, and cultural studies. 

Raz Yosef

Papers

SeeBridge as next generation bridge inspection: Overview, Information Delivery Manual and Model View Definition

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

Automating Design Review with Artificial Intelligence and BIM: State of the Art and Research Framework

Automated model checking for topologically complex code requirements – security room case study

Contemporary Israeli Cinema