TY - CHAP A1 - Rens, Gavin A1 - Ferrein, Alexander A1 - Poel, Etienne van der T1 - Extending DTGolog to deal with POMD-Ps T2 - Proceedings of the Nineteenth Annual Symposium of the Pattern Recognition Association of South Africa (PRASA 2008) Y1 - 2008 SP - 49 EP - 54 ER - TY - CHAP A1 - Büsgen, André A1 - Klöser, Lars A1 - Kohl, Philipp A1 - Schmidts, Oliver A1 - Kraft, Bodo A1 - Zündorf, Albert T1 - Exploratory analysis of chat-based black market profiles with natural language processing T2 - Proceedings of the 11th International Conference on Data Science, Technology and Applications N2 - Messenger apps like WhatsApp or Telegram are an integral part of daily communication. Besides the various positive effects, those services extend the operating range of criminals. Open trading groups with many thousand participants emerged on Telegram. Law enforcement agencies monitor suspicious users in such chat rooms. This research shows that text analysis, based on natural language processing, facilitates this through a meaningful domain overview and detailed investigations. We crawled a corpus from such self-proclaimed black markets and annotated five attribute types products, money, payment methods, user names, and locations. Based on each message a user sends, we extract and group these attributes to build profiles. Then, we build features to cluster the profiles. Pretrained word vectors yield better unsupervised clustering results than current state-of-the-art transformer models. The result is a semantically meaningful high-level overview of the user landscape of black market chatrooms. Additionally, the extracted structured information serves as a foundation for further data exploration, for example, the most active users or preferred payment methods. KW - Clustering KW - Natural Language Processing KW - Information Extraction KW - Profile Extraction KW - Text Mining Y1 - 2022 SN - 978-989-758-583-8 U6 - https://doi.org/10.5220/0011271400003269 SN - 2184-285X N1 - 11th International Conference on Data Science, Technology and Applications DATA - Volume 1, 83-94, 2022, Lisbon, Portugal SP - 83 EP - 94 ER - TY - CHAP A1 - Spasov, Yulian A1 - Döring, Bernd A1 - Griffin, Allan T1 - Exploiting the thermal mass in an energy efficient building - a comparison exercise between IES Apache and TRNSYS models T2 - Clima 2007 WellBeing Indoors: 9th Rehva World Congress, 10-14 June 2007, Helsinki, Finland : proceedings Y1 - 2007 SN - 978-952-99898-2-9 SP - 1 EP - 7 CY - Helsinki ER - TY - CHAP A1 - Klöser, Lars A1 - Büsgen, André A1 - Kohl, Philipp A1 - Kraft, Bodo A1 - Zündorf, Albert ED - Conte, Donatello ED - Fred, Ana ED - Gusikhin, Oleg ED - Sansone, Carlo T1 - Explaining relation classification models with semantic extents T2 - Deep Learning Theory and Applications N2 - In recent years, the development of large pretrained language models, such as BERT and GPT, significantly improved information extraction systems on various tasks, including relation classification. State-of-the-art systems are highly accurate on scientific benchmarks. A lack of explainability is currently a complicating factor in many real-world applications. Comprehensible systems are necessary to prevent biased, counterintuitive, or harmful decisions. We introduce semantic extents, a concept to analyze decision patterns for the relation classification task. Semantic extents are the most influential parts of texts concerning classification decisions. Our definition allows similar procedures to determine semantic extents for humans and models. We provide an annotation tool and a software framework to determine semantic extents for humans and models conveniently and reproducibly. Comparing both reveals that models tend to learn shortcut patterns from data. These patterns are hard to detect with current interpretability methods, such as input reductions. Our approach can help detect and eliminate spurious decision patterns during model development. Semantic extents can increase the reliability and security of natural language processing systems. Semantic extents are an essential step in enabling applications in critical areas like healthcare or finance. Moreover, our work opens new research directions for developing methods to explain deep learning models. KW - Relation classification KW - Natural language processing KW - Natural language understanding KW - Information extraction KW - Trustworthy artificial intelligence Y1 - 2023 SN - 978-3-031-39058-6 (Print) SN - 978-3-031-39059-3 (Online) U6 - https://doi.org/10.1007/978-3-031-39059-3_13 N1 - 4th International Conference, DeLTA 2023, Rome, Italy, July 13–14, 2023. SP - 189 EP - 208 PB - Springer CY - Cham ER - TY - CHAP A1 - Butenweg, Christoph A1 - Bursi, Oreste S. A1 - Nardin, Chiara A1 - Lanese, Igor A1 - Pavese, Alberto A1 - Marinković, Marko A1 - Paolacci, Fabrizio A1 - Quinci, Gianluca T1 - Experimental investigation on the seismic performance of a multi-component system for major-hazard industrial facilities T2 - Conference Proceedings: Pressure Vessels & Piping Conference Vol.5 N2 - Past earthquakes demonstrated the high vulnerability of industrial facilities equipped with complex process technologies leading to serious damage of the process equipment and multiple and simultaneous release of hazardous substances in industrial facilities. Nevertheless, the design of industrial plants is inadequately described in recent codes and guidelines, as they do not consider the dynamic interaction between the structure and the installations and thus the effect of seismic response of the installations on the response of the structure and vice versa. The current code-based approach for the seismic design of industrial facilities is considered not enough for ensure proper safety conditions against exceptional event entailing loss of content and related consequences. Accordingly, SPIF project (Seismic Performance of Multi-Component Systems in Special Risk Industrial Facilities) was proposed within the framework of the European H2020 - SERA funding scheme (Seismology and Earthquake Engineering Research Infrastructure Alliance for Europe). The objective of the SPIF project is the investigation of the seismic behaviour of a representative industrial structure equipped with complex process technology by means of shaking table tests. The test structure is a three-story moment resisting steel frame with vertical and horizontal vessels and cabinets, arranged on the three levels and connected by pipes. The dynamic behaviour of the test structure and of its relative several installations is investigated. Furthermore, both process components and primary structure interactions are considered and analyzed. Several PGA-scaled artificial ground motions are applied to study the seismic response at different levels. After each test, dynamic identification measurements are carried out to characterize the system condition. The contribution presents the experimental setup of the investigated structure and installations, selected measurement data and describes the obtained damage. Furthermore, important findings for the definition of performance limits, the effectiveness of floor response spectra in industrial facilities will be presented and discussed. KW - industrial facilities KW - piping KW - installations KW - seismic loading KW - earthquakes Y1 - 2021 SN - 9780791885352 U6 - https://doi.org/10.1115/PVP2021-61696 N1 - ASME 2021 Pressure Vessels & Piping Conference, July 13–15, 2021, Virtual, Online PB - American Society of Mechanical Engineers (ASME) CY - New York ER - TY - CHAP A1 - Adomeit, G. A1 - Willms, Herbert ED - Skupinski, Edwin T1 - Experimental investigation of the acceleration of deflagration in wake flow T2 - Safety of thermal water reactors : proceedings of a Seminar on the Results of the European Communities’ Indirect Action Research Programme on Safety of Thermal Water Reactors, held in Brussels, 1–3 October 1984 / Commission of the European Communities Y1 - 1984 SN - 0-86010-678-0 SN - 978-94-009-4972-0 (Online-Nachdr. vom Springer-Verl.) N1 - Forschungsvorhaben Nr. 024 SRD SP - 294 EP - 304 PB - Graham & Trotman [u.a.] CY - London Gaithersburg, Md. ER - TY - CHAP A1 - Fateri, Miranda A1 - Gebhardt, Andreas A1 - Khosravi, Maziar T1 - Experimental investigation of selective laser melting of lunar regolith for in-situ applications T2 - ASME 2013 International Mechanical Engineering Congress and Exposition : San Diego, California, USA, November 15–21, 2013. Vol. 2A: Advanced manufacturing Y1 - 2013 SN - 978-0-7918-5618-5 SP - V02AT02A008 PB - ASME ER - TY - CHAP A1 - Schlurmann, Torsten A1 - Bung, Daniel Bernhard T1 - Experimental investigation of flow-induced radial gate vibrations at Lower Subansiri dam T2 - Sixth Chinese-German Joint Symposium on Hydraulic and Ocean Engineering : JOINT 2012 : 23.-29.9.2012, Keelung Y1 - 2012 SP - 7 EP - 14 ER - TY - CHAP A1 - Milijaš, Aleksa A1 - Šakić, Bogdan A1 - Marinković, Marko A1 - Butenweg, Christoph ED - Papadrakakis, Manolis ED - Fragiadakis, Michalis T1 - Experimental investigation of behaviour of masonry infilled RC frames under out-of-plane loading T2 - Proceedings of COMPDYN 2021 N2 - Masonry infills are commonly used as exterior or interior walls in reinforced concrete (RC) frame structures and they can be encountered all over the world, including earthquake prone regions. Since the middle of the 20th century the behaviour of these non-structural elements under seismic loading has been studied in numerous experimental campaigns. However, most of the studies were carried out by means of in-plane tests, while there is a lack of out-of-plane experimental investigations. In this paper, the out-of-plane tests carried out on full scale masonry infilled frames are described. The results of the out-of-plane tests are presented in terms of force-displacement curves and measured out-of-plane displacements. Finally, the reliability of existing analytical approaches developed to estimate the out-of-plane strength of masonry infills is examined on presented experimental results. KW - Seismic loading KW - Masonry infill KW - Out-of-plane load KW - Out-of-plane strength Y1 - 2021 SN - 978-618-85072-5-8 U6 - https://doi.org/10.7712/120121.8528.18914 SN - 2623-3347 N1 - COMPDYN 2021, 28-30 June 2021, Streamed from Athens, Greece, 8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering SP - 829 EP - 846 PB - National Technical University of Athens CY - Athen ER - TY - CHAP A1 - Dilthey, Ulrich A1 - Schleser, Markus A1 - Chudoba, Rostislav A1 - Konrad, Martin ED - Triantafillou, T. C. T1 - Experimental investigation and micro-mechanical simulaltion of concrete reinforced with epoxy impregnated fabrics T2 - Fibre-reinforced polymer reinforcement for concrete structures : proceedings of the 8th international conference : Patras, Greece, July 16- 18, 2007 Y1 - 2007 SN - 9608969107 SP - 456 EP - 457 PB - Univ. CY - Patras ER -