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Search results for: HSI
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Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University
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Tsung-Hsuan Hsieh Dr
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Nanodiamonds Doped with Manganese for Applications in Magnetic Resonance Imaging
PublicationNanodiamonds (NDs) are emerging with great potential in biomedical applications like biomarking through fluorescence and magnetic resonance imaging (MRI), targeted drug delivery, and cancer therapy. The magnetic and optical properties of NDs could be tuned by selective doping. Therefore, we report multifunctional manganese-incorporated NDs (Mn-NDs) fabricated by Mn ion implantation. The fluorescent properties of Mn-NDs were tuned...
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Development of a full bipedal pedestrian HSI model taking into account the interaction between pedestrians and the footbridge structure.
ProjectsProject realized in Department of Engineering Structures
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High-performance anode-supported solid oxide fuel cells with co-fired Sm0.2Ce0.8O2-δ/La0.8Sr0.2Ga0.8Mg0.2O3−δ/Sm0.2Ce0.8O2-δ sandwiched electrolyte
PublicationIn this study, intermediate-temperature solid oxide fuel cells (IT-SOFCs) with a nine-layer structure are constructed via a simple method based on the cost-effective tape casting-screen printing-co-firing process with the structure composed of a NiO-based four-layer anode, a Sm0.2Ce0·8O2-δ(SDC)/La0·8Sr0.2Ga0.8Mg0·2O3−δ (LSGM)/SDC tri-layer electrolyte, and an La0·6Sr0·4Co0·2Fe0·8O3-δ (LSCF)-based bi-layer cathode. The resultant...
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DGO '23: Proceedings of the 24th Annual International Conference on Digital Government Research
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Design and characterization of apatite La9.8Si5.7Mg0.3O26±δ-based micro-tubular solid oxide fuel cells
PublicationIn this study, electrolyte-supported (Cell A) and anode-supported (Cell B) micro-tubular solid oxide fuel cells (SOFCs) based on the La9.8Si5.7Mg0.3O26±δ (LSMO) electrolyte is built through an extrusion and dip-coating processes. The formulations and process conditions for these cells are established and optimized. Both cell configurations show no visible delamination or cracking, and reaction zones and inter-diffusion of any species...
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Data and knowledge supporting decision-making for the urban Food-Water-Energy nexus
PublicationCities are hubs of innovation and wealth creation, and magnets for an increasing urban population. Cities also face unprecedented challenges in terms of food, water and energy scarcity, and governance and management. Urban environmental issues are no longer problems for experts to address but have become issues of public debate, in which knowledge from multiple sectors is needed to support inclusive governance approaches. Consequently,...
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TU-D-BRB-09: Dosimetric Validation of the Proton-Sensitive BANG® 3 PRO-2 Polymer Gel Dosimeter Irradiated by Single Field Therapeutic Proton Beams
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TH-D-BRB-06: Assessment of Proton Beam In-Vivo Dose Verification by Directly Comparing Doses Measured in Tissue-Equivalent Polymer Gels to Proton-Activated Positron-Emission Distributions in the Gels Post Irradiation
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SU‐GG‐T‐270: Evaluation of a Novel 3‐D Polymer Gel Dosimetry System for Proton Radiotherapy
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Dosimetric evaluation of a novel polymer gel dosimeter for proton therapy
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Dual-emission Eu-doped Ca2−xSrxPN3 nitridophosphate phosphors prepared by hot isostatic press
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Hydrogen-Containing Na3HTi1–xMnxF8 Narrow-Band Phosphor for Light-Emitting Diodes
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Synergetic effect-triggered performance promotion of Sr3−xBaxP5N10Cl:Eu2+ phosphors
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Characterizing the Scalability of Graph Convolutional Networks on Intel® PIUMA
PublicationLarge-scale Graph Convolutional Network (GCN) inference on traditional CPU/GPU systems is challenging due to a large memory footprint, sparse computational patterns, and irregular memory accesses with poor locality. Intel’s Programmable Integrated Unffied Memory Architecture (PIUMA) is designed to address these challenges for graph analytics. In this paper, a detailed characterization of GCNs is presented using the Open-Graph Benchmark...
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Potential of Explainable Artificial Intelligence in Advancing Renewable Energy: Challenges and Prospects
PublicationModern machine learning (ML) techniques are making inroads in every aspect of renewable energy for optimizationand model prediction. The effective utilization of ML techniques for the development and scaling up of renewable energy systemsneeds a high degree of accountability. However, most of the ML approaches currently in use are termed black box since their work isdifficult to comprehend. Explainable artificial intelligence (XAI)...
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Technological solutions for boosting hydrogen role in decarbonization strategies and net-zero goals of world shipping: Challenges and perspectives
PublicationFacing the problems concerning greenhouse gas (GHG) emissions from international ocean shipping has meant that the latest regulations of the International Maritime Organization, issued on 1st January 2023, have come into force, with the aim of reducing GHG emissions from maritime activities. Hydrogen has been suggested as an alternative fuel to achieve decarbonization ambitions in the near future. Although hydrogen has been investigated...
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Effect of Temperature and Pressure on Structural and Optical Properties of Organic–Inorganic Hybrid Manganese Halides
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Formation and Near-Infrared Emission of CsPbI3 Nanoparticles Embedded in Cs4PbI6 Crystals
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Human System Interaction in Review: Advancing the Artificial Intelligence Transformation
PublicationThe industrial advancement of human society has been fundamentally driven by diverse ‘systems’ that facilitate ‘human interaction’ within physical, digital, virtual, social and artificial environments, and upon the hyper-connected layers of system-system interactions across these environments. The research and practice of Human System Interaction (HSI) has undergone exponential development due to the enhanced capabilities, increased...
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Fast and accurate vision-based pattern detection and identification using color and grey image segmentation
PublicationPraca opisuje niewymagającą obliczeniowo metodę wykrywania i identyfikacji robotów mobilnych, która może być wykorzystywana w zawodach gry robotów w piłkę nożną. Wykrywanie robotów opiera się na przetwarzaniu obrazu otrzymanego z kamery. Zasadniczym elementem przetwarzania obrazu jest jego segmentacja opierająca się na rozpoznaniu koloru w systemie HSI.
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Preferred Benchmarking Criteria for Systematic Taxonomy of Embedded Platforms (STEP) in Human System Interaction Systems
PublicationThe rate of progress in the field of Artificial Intelligence (AI) and Machine Learning (ML) has significantly increased over the past ten years and continues to accelerate. Since then, AI has made the leap from research case studies to real production ready applications. The significance of this growth cannot be undermined as it catalyzed the very nature of computing. Conventional platforms struggle to achieve greater performance...
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Analiza niezawodności człowieka-operatora w kontekście bezpieczeństwa funkcjonalnego.
PublicationArtykuł przedstawia niektóre kwestie analizy warstwowego systemu zabezpieczeń instalacji podwyższonego ryzyka z uwzględnieniem analizy niezawodności człowieka HRA (human reliability analysis). Działania człowieka operatora w odniesieniu do systemu operatorskiego HSI (human system interface), w tym systemu alarmowego i potencjalnych błędów człowieka mogą mieć istotny wpływ na wyniki analiz probabilistycznych w procesie weryfikacji...
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Cognitive memory for intelligent systems of decision-making, based on human psychology
PublicationA model of memory, which allows to expand the functionality of autonomous decision-making systems for robotic and human-system-interface purposes, is discussed. The model provides functions and features which make the prospective robotic and interfacing systems more human-like as well as more efficient in solving interactive issues.
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Agnieszka Landowska dr hab. inż.
PeopleAgnieszka Landowska works for Gdansk University of Technology, FETI, Department of Software Engineering. Her research concentrates on usability, accessibility and technology adoption, as well as affective computing methods. She initiated Emotions in HCI Research Group and conducts resarch on User eXperiene evaluation of applications and other technologies.
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Movement perception with the use of a motorized delta armrest and virtual reality
PublicationIn this paper we present a combination of neuroscience experiments with the use of a parallel armrest robot to study the effects of temporal delays and spatial biases on the movement perception. A dedicated armrest to guide and manipulate the arm has been developed for these experiments. It is a three-degree-of-freedom Delta structure. In combination with a virtual reality application, the movement perception has been evaluated....
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System bezpieczeństwa dla współpracującego robota przemysłowego na bazie kamer głębi
PublicationW artykule zarysowano problematykę robotyzacji małych przedsiębiorstw, w szczególności aspekt robotyzacji z uwzględnieniem robotów współpracujących. Szeroko omówiono zagadnienie robotów współpracujących oraz bezpieczeństwa człowieka podczas takiej współpracy. Przedstawiono również najbardziej popularne systemy bezpieczeństwa w odniesieniu do obowiązujących norm. W głównej części artykułu przedstawiono Cooperating Automaton System...
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Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC
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A New Boson with a Mass of 125 GeV Observed with the CMS Experiment at the Large Hadron Collider
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Elective surgery system strengthening: development, measurement, and validation of the surgical preparedness index across 1632 hospitals in 119 countries
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