cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
FutureHotel - the Hotel Service Ecosystem as an Opportunity Space for the Hotel of the Future
Creators: name: Borkmann, Vanessa
name: Gaulinger, Ronja
name: :Unav
Publisher: name: Fraunhofer-Gesellschaft
Year: 2024
Subjects: FutureHotel Innovation Network
hotel service ecosystem
hotel industry
hospitality industry
community building
ecosystem mapping
sustainability
sustainable business models
networked services
stakeholder integration
value creation
collaboration

description: The whitepaper FutureHotel - the Hotel Service Ecosystem as an Opportunity for the Hotel of the Future describes the model and explores the potential of the hotel ecosystem as a new approach to extend value creation in the hospitality industry. Various user groups such as hotel guests, employees, and local communities, and their demands and potential contributions to a successful hotel operation are analyzed. By fostering local and digital collaboration between diverse players, based on the model presented, a resilient, sustainable, and innovative hotel ecosystem is formed. This research from FutureHotel Innovation Network provides practical recommendations for the development of future-proof hotel networks and presents real-world examples of successful ecosystem services.
"abstract.txt" of "Search for decays of the Higgs boson into a pair of pseudoscalar particles decaying into $b\bar{b}\tau^+\tau^-$ using $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector"
Creators: name: ATLAS Collaboration
Publisher: name: HEPData
Year: 2024

description: Original abstract file
description: This paper presents a search for exotic decays of the Higgs boson into a pair of new pseudoscalar particles, $H\rightarrow aa$, where one pseudoscalar decays into a $b$-quark pair and the other decays into a $\tau$-lepton pair, in the mass range $12\leq m_{a}\leq 60$ GeV. The analysis uses $pp$ collision data at $\sqrt{s} = 13$ TeV collected with the ATLAS detector at the LHC, corresponding to an integrated luminosity of $140~\mathrm{fb}^{-1}$. No significant excess above the Standard Model (SM) prediction is observed. Assuming the SM Higgs boson production cross-section, the search sets upper limits at 95\% confidence level on the branching ratio of Higgs bosons decaying into $b\bar{b}\tau^+\tau^-$, $\mathcal{B}$($H \rightarrow aa \rightarrow b\bar{b}\tau^+\tau^-$), between 2.2\% and 3.9\% depending on the pseudoscalar mass.
Simulation von Gebäude-Anlagentechnik in der BIM-basierten Planung energieeffizienter Gebäude
Creators: name: Eckstädt, Elisabeth
name: :Unav
Publisher: name: Fraunhofer-Gesellschaft
Year: 2024
Subjects: BIM
Simulation
Anlagensimulation
Gebäudesimulation
Modelica
TGA
Technische Gebäudeausrüstung

description: Die Einbindung von Anlagensimulation in den Planungsprozess von technischer Gebäudeausrüstung trägt zu einem energieeffizienteren Betrieb von Gebäuden bei. Eine wesentliche Hürde bei der Anwendung der Simulation als Planungswerkzeug ist der Aufwand für die Modellerstellung. Diese Arbeit beschäftigt sich mit der automatisierten Modellerstellung basierend auf BIM (Building Information Management)-Modellen, um diesen Aufwand zu verringern. Weiterhin wird die Nachnutzung erstellter Simulationsmodelle durch die Erstellung von BIM-Modelen betrachtet. Im Rahmen der Arbeit wurden Werkzeuge für die bidirektionale Verbindung zwischen BIM- und Simulationsmodell erstellt. Die Betrachtungen fokussieren sich dabei auf das Simulationsformat Modelica und das open-BIM-Format IFC. Die implementierten Werkzeuge basieren auf einer Analyse der Ausdrucksmächtigkeit der gewählten Formate (IFC und Modelica) und den Informationsanforderungen des ausgewählten Simulationsszenarios in den beiden UseCases BIM2SIM und SIM2BIM. Für die Modellübertragung wurden Wissensgraphen für die intermediäre Wissensrepräsentation verwendet. Dies ermöglicht die Anwendung von in der IT bereits entwickelten semantischen Technologien für die Übersetzung zwischen BIM und Simulation. Weiterhin bieten die Wissensgraphen Anknüfungspunkte für Anwendungsfälle die weit über die in dieser Arbeit untersuchten UseCases hinaus gehen. Für beide betrachteten Anwendungsfälle wurde der experimentelle Nachweis erbracht, dass die automatisierte Modellerstellung soweit funktioniert, dass sie eine deutliche Zeitersparnis in der praktischen Anwendung bringt. Für die experimentelle Untersuchung wurden dabei bewusst keine artifiziellen Minimalbeispiele verwendet, sondern im Sinne eines "Feldversuchs" Modelle aus realen Projekten verwendet. Im Ergebnis dieser Arbeit stehen Werkzeuge zur Verfügung, die eine Integration der Simulation in den Planungsprozess deutlich erleichtern: Sie ermöglichen die Bearbeitung einzelner Planungsschritte im jeweils geeigneteren Werkzeug (CAD-Autorensoftware bzw. BIM-Viewer oder Simulationsumgebung) bei gleichzeitiger Gewährleistung der inhaltlichen Integrität beider beteiligten Modelle. Es besteht erstmals die Möglichkeit für die Anlagentechnik in nennenswertem Umfang Modelica-Modelle aus BIM-Modellen zu erstellen. Die Erzeugung von weiterbearbeitbaren BIM-Modellen aus Modelica-Modellen wird in dieser Arbeit erstmalig gezeigt. Die in der Arbeit durchgeführten Untersuchungen zur Nutzung des IFC-Formats zum Abspeichern semantisch reicher Schemata können auch in anderen Kontexten - unabhängig von der Simulation - Mehrwerte generieren.
How to Do Machine Learning with Small Data? A Review from an Industrial Perspective
Creators: name: Kraljevski, Ivan
name: Ju, Yong Chul
name: Ivanov, Dmitriy
name: Tschöpe, Constanze
name: Wolff, Matthias
name: :Unav
Publisher: name: Fraunhofer-Gesellschaft
Year: 2023
Subjects: machine learning
small data
industrial applications
engineering applications

description: Artificial intelligence experienced a technological breakthrough in science, industry, and everyday life in the recent few decades. The advancements can be credited to the ever-increasing availability and miniaturization of computational resources that resulted in exponential data growth. However, because of the insufficient amount of data in some cases, employing machine learning in solving complex tasks is not straightforward or even possible. As a result, machine learning with small data experiences rising importance in data science and application in several fields. The authors focus on interpreting the general term of "small data" and their engineering and industrial application role. They give a brief overview of the most important industrial applications of machine learning and small data. Small data is defined in terms of various characteristics compared to big data, and a machine learning formalism was introduced. Five critical challenges of machine learning with small data in industrial applications are presented: unlabeled data, imbalanced data, missing data, insufficient data, and rare events. Based on those definitions, an overview of the considerations in domain representation and data acquisition is given along with a taxonomy of machine learning approaches in the context of small data.
Representations of the super-Yangian of type $D(n,m)$
Creators: name: Molev, A. I.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Representation Theory (math.RT)
subject: Mathematical Physics (math-ph)
subject: Quantum Algebra (math.QA)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: We consider the classification problem for finite-dimensional irreducible representations of the Yangians associated with the orthosymplectic Lie superalgebras ${\frak{osp}}_{2n|2m}$ with $n\geqslant 2$. We give necessary conditions for an irreducible highest weight representation to be finite-dimensional. We conjecture that these conditions are also sufficient and prove the conjecture for a class of representations with linear highest weights. The arguments are based on a new type of odd reflections for the Yangian associated with ${\frak{osp}}_{2|2}$. In the Appendix, we construct an isomorphism between the Yangians associated with the Lie superalgebras ${\frak{osp}}_{2|2}$ and ${\frak{gl}}_{1|2}$.
description: 23 pages, extension of arXiv:2110.12784 to the series D(n,m)
Quantum key distribution rates from non-symmetric conic optimization
Creators: name: Lorente, Andrés González
name: Parellada, Pablo V.
name: Castillo-Celeita, Miguel
name: Araújo, Mateus
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Computing key rates in quantum key distribution (QKD) numerically is essential to unlock more powerful protocols, that use more sophisticated measurement bases or quantum systems of higher dimension. It is a difficult optimization problem, that depends on minimizing a convex non-linear function: the (quantum) relative entropy. Standard conic optimization techniques have for a long time been unable to handle the relative entropy cone, as it is a non-symmetric cone, and the standard algorithms can only handle symmetric ones. Recently, however, a practical algorithm has been discovered for optimizing over non-symmetric cones, including the relative entropy. Here we adapt this algorithm to the problem of computation of key rates, obtaining an efficient technique for lower bounding them. In comparison to previous techniques it has the advantages of flexibility, ease of use, and above all performance.
description: 11+1 pages, 3 figures. Published version
T. Bayles Minuse to Daniel Rybb, June 11, 1956
Creators: name: Minuse, T. Bayles
Publisher: name: Unknown
Year: 1956
Subjects: Stony Brook
Concert halls
Concerts
Amphitheaters
Correspondence
Music festivals
Meetings

description: This letter is written by T. Bayles Minuse to Daniel Rybb on June 11, 1956, in regards to possibly having more concerts in August and urging a change in management for the 1957 season.
KI als strategische Ressource für Produkte etablieren
Creators: name: Renner, Niclas
name: Kett, Holger Joachim
name: Kutzias, Damian
name: Le, Nguyen-Truong
Publisher: name: Fraunhofer-Gesellschaft
Year: 2024
Subjects: Künstliche Intelligenz
Unternehmen
Innovation
Modell
Strategie
Prozess

description: Im vorliegenden Whitepaper wird ein leichtgewichtiges Verfahren, das »Vier-Phasen-Modell« vorgestellt, dass dabei unterstützt, KI als strategische Ressource und Werkzeug für Unternehmen verfügbar zu machen. So kann es bestmöglich in etablierte Innovationsprozesse eines Unternehmens eingebunden werden. Das Modell basiert auf den gemeinsamen Herausforderungen von über 30 Unternehmen, insbesondere der teilnehmenden Unternehmen des AI Innovation Seeds »KI-Lösungen im Produktiveinsatz«. Das »Vier-Phasen-Modell« beginnt bei der Ideengenerierung, die sich für viele Unternehmen bereits als Herausforderung darstellt und oft nicht berücksichtigt wird und deckt den gesamten Entwicklungsprozess über die Machbarkeitsanalyse, die eigentliche Entwicklung der Lösung bis hin zum Betrieb der Lösung ab. Eine wesentliche Erkenntnis ist, dass der konsequente Einsatz und Erschließung von Potenzialen der KI ein Managementthema ist. Welche Aspekte berücksichtigt werden sollten, um die KI in bestehende Strukturen des eigenen Unternehmens zu integrieren, zeigt die Veröffentlichung anhand der Weiterentwicklung bestehender Innovationsprozesse auf. Die grundlegenden Erkenntnisse und Aspekte aus dieser Veröffentlichung lassen sich in Unternehmen anwenden, die KI in anderen Anwendungsbereichen, wie z. B. in der Prozessverbesserung oder in der Produktentwicklung nutzen möchten.
Verpackungen werden zunehmend mit der digitalen Datenwelt verknüpft
Creators: name: Lange, Volker
name: Lehmann, Lukas
name: :Unav
Publisher: name: Fraunhofer-Gesellschaft
Year: 2022
Subjects: Verpackungen
Digitalisierung
Smart Packaging
intelligente Verpackung
Sensorik
optische Bildererkennung
KI-basierte Bildverarbeitung
Ladungsträger- und Verpackungsmanagement
Ladungsträgermanagement
Verpackungsmanagement
Ladungsträger-App

description: Wer beim Thema Verpackung an Versandkartons, Gemüsesteigen und Europaletten denkt, liegt erst einmal richtig. Verpackung ist mittlerweile aber auch eine Pillendose, die rot leuchtet und in Warnsignal gibt, wenn die Einnahme des Medikaments einmal vergessen wurde. Was heute vielfach noch hauptsächlich zum Schutz von Produkten und zum Erhalt der Qualität von Waren dient, wird in Zukunft durch „Smart Packaging“ mittels integrierter Technologien also vermehrt zusätzliche, neue Funktionen erhalten. Aber nicht nur die Verpackung selbst verändert sich; der gesamte Verpackungsprozess - von der Produktion über die Lagerung und Kommissionierung bis zum Transport - unterliegt dem digitalen Wandel. So vielfältig wie die Produkte selbst sind, so groß ist die Bandbreite technischer Möglichkeiten auf dem Weg der Transformation von der klassischen zur intelligenten Verpackung. Die bisher weitgehend analoge Welt der Verpackung begibt sich auf den Weg in die digitale Welt der Daten. Die Nachfrage nach rückverfolgbaren und digital sichtbaren Ladungsträgern entspricht den verstärkten Forderungen nach Transparenz und echtzeitnahen Informationen. Den Grundstein da ür legt die Serialisierung, also die eindeutige Kennzeichnung von Verpackungen und Ladungsträgern zwecks Identiﬁkation. Erst durch eine eindeutige Kennzeichnung lassen sich weitere Informationen mit einer Verpackung oder einem Ladungsträger verknüpfen.
Die AGV-Karriere: Eine Technologie erobert die Häfen
Creators: name: Bergmann, Johann
name: :Unav
Publisher: name: Fraunhofer-Gesellschaft
Year: 2024
Subjects: AGV
Containerterminal
Hafentechnologien

description: Johann Bergmann kennt die Vorteile und Schwächen der automatisierten Containertransporter und beschreibt ihre zukünftigen Chancen. Die HHLA als einer der ersten Anwender arbeitet ständig an der Weiterentwicklung des Systems.
PROZE: Generating Parameterized Unit Tests Informed by Runtime Data
Creators: name: Tiwari, Deepika
name: Gamage, Yogya
name: Monperrus, Martin
name: Baudry, Benoit
Publisher: name: arXiv
Year: 2024
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: Typically, a conventional unit test (CUT) verifies the expected behavior of the unit under test through one specific input / output pair. In contrast, a parameterized unit test (PUT) receives a set of inputs as arguments, and contains assertions that are expected to hold true for all these inputs. PUTs increase test quality, as they assess correctness on a broad scope of inputs and behaviors. However, defining assertions over a set of inputs is a hard task for developers, which limits the adoption of PUTs in practice.
 In this paper, we address the problem of finding oracles for PUTs that hold over multiple inputs. We design a system called PROZE, that generates PUTs by identifying developer-written assertions that are valid for more than one test input. We implement our approach as a two-step methodology: first, at runtime, we collect inputs for a target method that is invoked within a CUT; next, we isolate the valid assertions of the CUT to be used within a PUT.
 We evaluate our approach against 5 real-world Java modules, and collect valid inputs for 128 target methods from test and field executions. We generate 2,287 PUTs, which invoke the target methods with a significantly larger number of test inputs than the original CUTs. We execute the PUTs and find 217 that provably demonstrate that their oracles hold for a larger range of inputs than envisioned by the developers. From a testing theory perspective, our results show that developers express assertions within CUTs that are general enough to hold beyond one particular input.
description: Appears in the proceedings of IEEE SCAM, 2024
Testing Autonomous Cargo Vehicles at Airports - An Analysis of the Basic Requirements Focusing on Staff-related Human Factors
Creators: name: Mücklich, Nadine
name: Wehner, Manuel
name: :Unav
Publisher: name: Fraunhofer-Gesellschaft
Year: 2023
Subjects: Flughafen
Automatisierung
Human Factors
Safety
Robotik
Luftfracht

description: Am 29. und 30. November findet in Luxemburg die elfte "European Aviation Conference" (EAC) statt. Thema der diesjährigen Fachkonferenz ist die Rolle der Luftfracht in der zukünftigen Luftverkehrspolitik und -wirtschaft.
Supplementary document for Global Phase Diagram of Bound States in the Continuum - 6128177.pdf
Creators: name: Hu, Peng
name: Wang, Jiajun
name: Jiang, Qiao
name: Wang, Jun
name: Shi, Lei
name: Han, Dezhuan
name: Zhang, Zhao-Qing
name: Chan, Che Ting
name: Zi, Jian
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Supplement 1-Phase diagram of BIC
Smarte glokale Produktion
Creators: name: Nowak, Maximilian
name: Fuchs, Jennifer
name: Martineau, Stephan
name: Hertwig, Michael
name: Werner, Andreas
Publisher: name: Fraunhofer-Gesellschaft
Year: 2025
Subjects: Glokale Produktion
Nachhaltige Produktion
Nachhaltiges Wirtschaften
Urbane Produktion
Globalisierung
Lokalisierung

description: Das Whitepaper "SmaGloKo 2025" widmet sich der sogenannten Triple Transformation in Unternehmen, die auf den drei Säulen Nachhaltigkeit, Digitalisierung und Fachkräftemangel basiert. Es präsentiert smarte, glokale Produktion als vielversprechenden Ansatz, um ökonomische, ökologische und soziale Herausforderungen zu bewältigen. Dieses Konzept kombiniert die Vorteile globaler Wertschöpfungsketten mit lokalem Wirtschaften, indem es innovative Technologien und Datenintegration einsetzt, um Ressourcen effizient zu nutzen und lokale Netzwerke zu stärken. Die Publikation beschreibt konkrete Anwendungsfälle und Ansätze von Vorreiterunternehmen, die transformative Maßnahmen erfolgreich umgesetzt haben. Sie zeigt, wie durch den Glocal Production Readiness Level der Status quo eines Unternehmens analysiert und gezielte Transformationsschritte abgeleitet werden können. Ziel ist es, Inspiration und praktische Handlungsimpulse für eine umweltfreundliche, wettbewerbsfähige und sozialverträgliche Wertschöpfung vor Ort zu bieten. Das Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO und die Fraunhofer Austria Research GmbH unterstützen aktiv Unternehmen auf diesem Weg, um langfristig eine nachhaltige und resiliente Industrie zu fördern.
A MULHER NA JAULA DO CAPITAL: O CORPO FEMININO COMO CAMPO DE DISPUTA (Resumo Expandido)
Creators: name: Aguiar Martins, Lívia
name: Imenes Nobre de Almeida, Maria Luiza
name: Rufino Reina Soares, Miguel
name: Teixeira Ramos, Waldenilson
Publisher: name: Zenodo
Year: 2024
Subjects: Dispositivo
Feminino
Capitalismo
Corpo
Discurso

description: Diante das constantes ameaças aos direitos das mulheres no Brasil, o presente trabalho objetiva, através de uma revisão bibliográfica, analisar os caminhos genealógicos do processo de dominação do feminino. Para isso, tomamos como partida os trabalhos de Foucault (1983, 1996, 1999), Preciado (2022a, 2022b), Wittig (2022) e Federici (2023), que permitem uma profunda compreensão acerca dos dispositivos de sexualidade e gênero que impactam a experiência feminina através de agressivas investidas contra o corpo. Apontamos, com base nessa fundamentação teórica, que o corpo feminino sofre constantes tentativas de controle com o propósito de estruturar e realizar a manutenção do capitalismo, com ferramentas que buscam o manejo de seus potenciais. Concluímos que, tendo em vista esse cenário engenhado desde a caça às bruxas, é necessário instigar um movimento de libertação das mulheres da jaula do capital, emancipando o feminino desses dispositivos enclausurantes.
Stellungnahme zur Drucksache 18/10426 "Antrag der Fraktion der CDU und der Fraktion BÜNDNIS 90/DIE GRÜNEN: Straßenverkehr der Zukunft - die Potenziale von Digitalisierung und KI nutzen"
Creators: name: Müller, Arthur
name: Sprute, Dennis
name: Seick, Jens-Peter
name: Jasperneite, Jürgen
name: :Unav
Publisher: name: Fraunhofer-Gesellschaft
Year: 2024

description: Landtag stellt fest, dass Digitalisierung und die Anwendung von Künstlicher Intelligenz im Straßenverkehr ökonomische, ökologische und soziale Chancen bieten." Auf Basis unserer Erfahrungen in den KI-basierten Projekten "Künstliche Intelligenz für Lichtsignalanlagen" (KI4LSA) und "KI-basierte Optimierung von Fußgängerüberquerungszeiten durch smarte Lichtsignalanlagen" (KI4PED) können wir die Feststellung des Landtags, dass Digitalisierung und die Anwendung von Künstlicher Intelligenz im Straßenverkehr ökonomische, ökologische und soziale Chancen bieten, für den Bereich der Verkehrssteuerung bestätigen. Im Projekt KI4LSA wurde ein Proof-of-Concept für eine auf Reinforcement Learning (KI-Technologie) basierende Steuerung von Lichtsignalanlagen (LSA) entwickelt und erfolgreich an einer Kreuzung in Lemgo getestet. Diese Steuerung führte zu einer Reduktion der Reisezeiten motorisierter Verkehrsteilnehmer gegenüber einer konventionellen LSA-Steuerung [1], [2], [3], [4]. Da es sich um einen Proof-of-Concept handelt, sind die erzielten Ergebnisse nicht vollständig übertragbar und es bedarf noch weiterer Forschungsund Entwicklungsarbeit, um solche Systeme zu härten und unter verschiedensten Bedingungen zur Marktreife zu bringen.
Hyperspectral near infrared imaging using a tunable spectral phasor
Creators: name: Stegemann, Jan
name: Gröniger, Franziska
name: Neutsch, Krisztian
name: Li, Han
name: Flavel, Benjamin
name: Metternich, Justus Tom
name: Erpenbeck, Luise
name: Petersen, Poul
name: Hedde, Per Niklas
name: Kruss, Sebastian
name: :Unav
Publisher: name: Fraunhofer-Gesellschaft
Year: 2024
Subjects: hyperspectral imaging
near-infrared
spectral phasor

description: Hyperspectral imaging captures both spectral and spatial information from a sample. The near infrared (NIR, > 800 nm) is advantageous for biomedical imaging as it falls into the tissue transparency window but also contains vibrational overtone and combination modes useful for molecular fingerprinting. Here, we demonstrate hyperspectral NIR imaging using a spectral phasor transformation (HyperNIR). This method employs a liquid crystal variable retarder (LCVR) for tunable, wavelength-dependent sine-, cosine and no filtering that transforms optical signals into phasor space. Spectral information is thus obtained with just three images. The LCVR can be adjusted to cover a spectral range from 900 nm to 1600 nm in windows tunable from 50 nm to 700 nm. This approach enables distinguishing NIR fluorophores with emission peaks less than 5 nm apart. Furthermore, we demonstrate label-free hyperspectral NIR reflectance imaging to identify plastic polymers and to monitor in vivo plant health. The approach uses the full camera resolution and reaches hyperspectral frame rates of 0.2 per second, limited only by the switching rate of the LCVR. HyperNIR facilitates straightforward hyperspectral imaging with standard NIR cameras for applications in biomedical imaging and environmental monitoring.
Investigation And Evaluation Of Factors Affecting Knowledge Management Maturity (Case Study: Guilan Customs)
Creators: name: Jahandoost, Shirzad
name: Sheikhshoaei, Mahmoud
name: Naseri, Azam
name: Mousavinezhad, Haniyeh
name: Vafadar, Vahid
name: Khosravi, Mohammad Reza
name: Taleghani, Mohammad
Publisher: name: figshare
Year: 2022
Subjects: subject: 150399 Business and Management not elsewhere classified
subject: FOS: Economics and business

description: Even though many companies have a large number of KM implementation projects , many of them are designed as stand - alone initiatives with no link to the organization's strategy . We are seeing how KM programs are failing to provide the promised results . As a result , investigating the elements that influence KMM is crucial . The present study is based on applied research and is a survey . The goal of this report was to look into and assess the elements that influence KMM . Leadership , human resources , KM infrastructure , business culture , and the KM process all influence KMM , according to the research .
evoBOT - Introducing Segway Robots in Aviation
Creators: name: Wehner, Manuel
name: Freytag, Julia
name: Gramse, Nils
name: :Unav
Publisher: name: Fraunhofer-Gesellschaft
Year: 2023
Subjects: Flughafen
Automatisierung
autonomes Fahren
Robotik
Luftfracht

description: Air Cargo Next’s second annual Air Cargo Tech Summit begins today in Brussels and continues through tomorrow. Attendees will have the opportunity to hear from industry leaders on topics ranging from digitalization and sustainability to drones, cybersecurity and more. Networking and discussion opportunities are built into an agenda packed with sessions featuring airfreight industry experts.
Fabrikneuplanung bei einem Auftragsfertiger für die Wehr- und Luftfahrttechnik
Creators: name: Borgmann, Felix
name: Platte, Fabian
name: Drawe, Heiko
name: :Unav
Publisher: name: Fraunhofer-Gesellschaft
Year: 2024
Subjects: Fabrikplanung
Materialfluss
Logistik
Flexibilität

description: Am Stammsitz Hagen fertigt das Unternehmen Stahlkontor GmbH & Co. KG Bauteile und Baugruppen u.a. für die Industriebereiche Defense und Aviation. Stark steigende Auftragsvolumina und eine in die Jahre gekommene Standortinfrastruktur sowie nicht optimale Abläufe in Produktion und Logistik machen eine Neustrukturierung unabdingbar. Dazu plant Stahlkontor den sukzessiven Neubau einer modernen und flexiblen Fertigungsstätte bei Aufrechterhaltung der Produktion am Stammsitz.
Visual Analytics for Urban Data Analysis
Creators: name: Burmeister, Jan
name: Liao, Jilin
name: Yang, Jieqing
name: Wei, Qingtian
name: Wang, Kexin
name: :Unav
Publisher: name: Fraunhofer-Gesellschaft
Year: 2021
Subjects: Lead Topic: Smart City
Research Line: Human computer interaction (HCI)
Visual analytics
Data visualization
Interactive information visualization
Interactive web applications

description: The VAST 2022 Challenge 1 put us in place of an urban planning analyst for the fictitious city Engagement, Ohio. Given a large, interlinked dataset of its citizens, businesses and activities, we were tasked to assemble a summary of the state of Engagement to serve as basis for future investments. We present a visual analytics application to interactively explore this complex dataset using a combination of dashboards and a 2D/3D map. Our application uses interactive visualizations to iteratively build and analyze subgroups, sync their abstract data with spatial positions, and detect clusters and patterns in the data.
From Birds to Businesses - How Economies of Synchronization Boost Business Performance
Creators: name: Schuh, Günther
name: Bahrami, Kourosh
name: Borjans, Nicolas
name: Brockmann, Sören
name: Grabhorn, Constantin
name: Düsterbeck, Johanne
name: Reihlen, Markus
name: Brennert, Julia
name: Budweiser, Leonie
name: Patzwald, Marc
name: :Unav
Publisher: name: Fraunhofer-Gesellschaft
Year: 2024
Subjects: Effizienzsteigerung
Organisationsentwicklung
Synchronisation
Efficiency increase
Organizational development
Synchronization

description: In unserer schnelllebigen Geschäftswelt streben Unternehmen heute fortwährend nach innovativen Strategien, um ihr Wachstum zu fördern und ihre Effizienz zu steigern - insbesondere angesichts eines volatilen Unternehmensumfelds. Im vorliegenden Paper stellt das Fraunhofer IPT in Zusammenarbeit mit Henkel und der Leuphana Universität ein neues Konzept vor: Die »Economies of Synchronization«. Im Gegensatz zum Ansatz der »Economies of Scale« zielt dieses Konzept nicht darauf ab, rein die Produktionsquantität zu erhöhen, sondern vielmehr auf eine nachhaltige Steigerung der Ressourceneffizienz. Durch Synchronisationsmaßnahmen, wie beispielsweise die Koordination von Teammitgliedern, können Unternehmen Ressourcen minimieren, die Leistung maximieren und ihre Flexibilität erhöhen. Um Unternehmen auf ihrem Weg zu gesteigerter Effizienz und nachhaltigem Wachstum zu begleiten, haben wir einen strukturierten Ansatz entwickelt.
Financial analysis of TimberWest Forest Corp. in comparison with the industry and major competitors
Creators: name: Cheung, Wayne
Publisher: name: The University of British Columbia
Year: 2016

description: TimberWest Forest Corp. is the largest timber and land management company in Western Canada. Still recovering from the huge housing recession in the US since 2008, the company is struggling with performance issues which ultimately lead to a degree of financial crisis and trust issues from both shareholders and debtors. With a recent money raising campaign in 2008, the company had raised nearly 60 million dollars from existed and additional shareholders to improve their financial condition and debt management. The management team will have to fully investigate the company’s operating efficiency, profitability and current financial position to determine the use of the new capital. In this report, financial analysis of the company’s operation will be conducted to determine the company’s efficiency and profitability in comparison with the industry index values. Study tools such as company profile, key factors, financial statements and financial ratios will be discussed. The results will provide accurate information of the company’s position in the forestry industry as well as the company’s competitiveness against other major corporations in the industry. The report will also suggest recommendations for TimberWest Forest Corp. towards improving their current operation.
T. Bayles Minuse to David Walter, June 9, 1956
Creators: name: Minuse, T. Bayles
Publisher: name: Unknown
Year: 1956
Subjects: Stony Brook
Correspondence
Contracts

description: This letter is written by T. Bayles Minuse to David Walter on June 9, 1956, in regards to the signed contract between Stony Brook Community Concerts Inc. and the Symphony Foundation of America Inc.
Globally driven superconducting quantum computing architecture
Creators: name: Menta, Roberto
name: Cioni, Francesco
name: Aiudi, Riccardo
name: Polini, Marco
name: Giovannetti, Vittorio
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantum Physics (quant-ph)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: We propose a platform for implementing a universal, globally driven quantum computer based on a 2D ladder hosting three different species of superconducting qubits. In stark contrast with the existing literature, our scheme exploits the always-on longitudinal ZZ coupling. The latter, combined with specific driving frequencies, enables the reach of a blockade regime, which plays a pivotal role in the computing scheme.
description: Published version in Phys. Rev. Research., typo corrected in the SM
Vertrauenswürdige KI-Anwendungen mit Foundation-Modellen entwickeln
Creators: name: Mock, Michael
name: Schmidt, Sebastian
name: Müller, Felix Benjamin
name: Görge, Rebekka
name: Schmitz, Anna
name: Haedecke, Elena Gina
name: Voß, Angelika
name: Hecker, Dirk
name: Poretschkin, Maximilian
name: :Unav
Publisher: name: Fraunhofer-Gesellschaft
Year: 2024

description: Die weltweit erste, umfassende Regulierung von Künstlicher Intelligenz ist die europäische KI-Verordnung (AI Act), die zum Zeitpunkt der Veröffentlichung des Whitepapers kurz vor der formellen Verabschiedung steht und eine KI-Konformitätsbewertung von Hochrisikosystemen fordert. Vor diesem Hintergrund zeigt das Whitepaper auf, wie die Vertrauenswürdigkeit einer mit Foundation-Modellen entwickelten KI-Anwendung bewertet und sichergestellt werden kann. Dafür wird die Vorgehensweise, wie sie im »KI-Prüfkatalog zur Gestaltung vertrauenswürdiger Künstlicher Intelligenz« des Fraunhofer IAIS entwickelt worden ist, in den Kontext von Foundation-Modellen übertragen. Dabei wird besonders berücksichtigt, dass sich spezielle Risiken der Foundation-Modelle auf die KI-Anwendung auswirken können und zusätzlich bei der Prüfung der Vertrauenswürdigkeit beachtet werden müssen.
KI-Systeme schützen, Missbrauch verhindern
Creators: name: Beyerer, Jürgen
name: Müller-Quade, Jörn
name: :Unav
Publisher: name: Fraunhofer-Gesellschaft
Year: 2022
Subjects: Digitale Transformation
Künstliche Intelligenz
Sicherheit
Szenarien

description: Künstliche Intelligenz wird bereits in einer Vielzahl von gesellschaftlichen Bereichen eingesetzt, sei es im Gesundheitsbereich, in der Arbeitswelt, im Straßenverkehr oder in öffentlichen Räumen. Trotz der vielfältigen Chancen, die die KI-Technologie mit sich bringt, wie etwa eine verbesserte Gesundheitsversorgung oder eine attraktive, individuelle Arbeitsplatzgestaltung, sollte das Potenzial für Missbrauch von KI-Systemen nicht aus den Augen verloren und realistisch eingeschätzt werden. Auf diese Weise können frühzeitig passende Schutzmaßnahmen gegen missbräuchliche Angriffe strategisch ergriffen werden. Die Expertinnen und Experten unter Federführung der beiden Arbeitsgruppen Lebensfeindliche Umgebungen sowie IT-Sicherheit, Privacy, Recht und Ethik der Plattform Lernende Systeme gehen im Whitepaper der Frage nach, welche Schritte unternommen werden sollten, um Missbrauch von KI-Systemen mit geeigneten Maßnahmen vorzubeugen. Dies vorrangig unter technologischen Aspekten. Hierzu empfehlen sie, Szenarien durchzudenken, um frühzeitig Einfallstore aufzudecken und daraus erforderliche Schutzvorkehrungen abzuleiten, die eingebettet in einer Gesamtstrategie Missbrauch verhindern können. Zur Veranschaulichung werden die theoretischen Überlegungen in realistischen Anwendungsszenarien aus dem Bereich Gesundheit, Freizeit, Mobilität oder Arbeitswelt eingebettet. Diese machen in der in der Gegenüberstellung zwischen „worst case“ und „best case“ deutlich, welchen Ausgang geeignete Maßnahmen im konkreten Missbrauchsfall letztlich begünstigen - dies im Sinne einer sicheren und zuverlässigen KI-Technologie.
Supplementary document for Controlling polarization on an ultrafast timescale using dielectric metasurfaces - 6128429.pdf
Creators: name: Chen, Lu
name: Huo, Chengpeng
name: Song, Junyeob
name: Wang, Zi
name: Xu, Ting
name: Zhu, Wenqi
name: Agrawal, Amit
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Supplement Materials
ABC News/Washington Post Poll: Biden/COVID-19 Vaccine/Criminal Justice System
Creators: name: ABC News
name: Washington Post
Publisher: name: Roper Center for Public Opinion Research
Year: 2022

description: President Joe Biden job approval (2); Biden’s handling of national issues (5); Biden winning Congressional Republican support/having proposal enacted without major changes (1); support/oppose coronavirus (COVID-19) economic stimulus package (1); support/oppose two-trillion dollar infrastructure development plan proposal (1); support/oppose raising corporate tax rate to 28 percent (1); priority of different national issues (1); preferred government size, role (1); concern about Biden increasing size, role of government in U.S. society (2); national economy (1); control of coronavirus outbreak in U.S. (1); personal vaccination status (2); safety of coronavirus vaccine (1); impact of Johnson & Johnson vaccine distribution halt on vaccination decision (2); vaccine requirements (1); family’s financial situation (1); relationships with family, friends since coronavirus pandemic (1); treatment of Black people, other minorities in criminal justice system (2); confidence that police are trained to avoid using excessive force (1); reparations from federal government to Black Americans whose ancestors were enslaved (1).
Graph Neural Networks Designed for Different Graph Types: A Survey
Creators: name: Thomas, Josephine
name: Moallemy-Oureh, Alice
name: Beddar-Wiesing, Silvia
name: Holzhüter, Clara Juliane
name: :Unav
Publisher: name: Fraunhofer-Gesellschaft
Year: 2022

description: Graphs are ubiquitous in nature and can therefore serve as models for many practical but also theoretical problems. For this purpose, they can be defined as many different types which suitably reflect the individual contexts of the represented problem. To address cutting-edge problems based on graph data, the research field of Graph Neural Networks (GNNs) has emerged. Despite the field’s youth and the speed at which new models are developed, many recent surveys have been published to keep track of them. Nevertheless, it has not yet been gathered which GNN can process what kind of graph types. In this survey, we give a detailed overview of already existing GNNs and, unlike previous surveys, categorize them according to their ability to handle different graph types and properties. We consider GNNs operating on static and dynamic graphs of different structural constitutions, with or without node or edge attributes. Moreover, we distinguish between GNN models for discrete-time or continuous-time dynamic graphs and group the models according to their architecture. We find that there are still graph types that are not or only rarely covered by existing GNN models. We point out where models are missing and give potential reasons for their absence.
Wie Europa seine digitale Souveränität wiederherstellen kann
Creators: name: Kreutzer, Stephan
name: Molina Vogelsang, Manuel
name: :Unav
Publisher: name: Fraunhofer-Gesellschaft
Year: 2022

description: Das wirtschaftspolitische Thesenpapier "Wie Europa seine digitale Souveränität wiederherstellen kann" befasst sich mit der Debatte zum Konzept der digitalen Souveränität im europäischen und deutschen Kontext. Es wird zunächst nachgezeichnet, welche wirtschaftlichen und politischen Entwicklungen dieser Debatte Auftrieb gegeben haben, bevor anschließend erörtert wird, inwiefern digitale Souveränität ein erstrebenswertes Ziel in Politik und Gesellschaft darstellt. Anschließend werden zwei wirtschaftspolitische Ansätze vorgestellt, aus welchen sich jeweils unterschiedliche Handlungsempfehlungen zur Förderung und Sicherung digitaler Souveränität ableiten lassen. Das Papier kommt zu dem Schluss, dass die Verknüpfung eines marktliberalen und eines industriepolitischen Ansatzes am ehesten geeignet ist, digitale Souveränität in Deutschland und Europa herzustellen und zu erhalten.
Canada’s opportunity to expand the use of Canadian wood in the Chinese market
Creators: name: Lee, Charles
Publisher: name: The University of British Columbia
Year: 2016

description: This report evaluates the market potential of China being a major trading partner of Canada’s wood products industry. Canada’s reliance on the US market has proved to be unpromising and alternate customers are crucial in staying competitive on a global level. China has emerged as a wood products powerhouse in recent years due to its economic dominance combined with increased capital investments and other demand drivers. The fibre supply shortage in China has consistently been a problem and is an opportunity for Canada to permeate the market. Canada’s relation with China has strengthened in the past few years due to educational and marketing campaigns on qualities of wood and wood-frame construction aimed at China. Results show that Canadian wood exports to China have showed progress but Canada needs to continue its marketing efforts to establish a long-term Chinese demand.
Opinion on Supplementing Regulation (EU) 2019/943
Creators: name: Gkoktsis, George
name: Kreutzer, Michael
name: Scheel, Kirstin
name: Schreiber, Linda
name: :Unav
Publisher: name: Fraunhofer-Gesellschaft
Year: 2023

description: The authors welcome and hail the supplementing regulation of (EU) 2019/943 to strengthen the cybersecurity of cross-border electricity flows of the Union, and, by extension, the overall cybersecurity of the energy sector. With the intention to support and contribute to this effort, we reached the decision to provide our perspective on the proposed legislation, taking into account the current state of science and art, the legal and normative situation within, as well as outside of the Union, and our experience and expertise in the domain of Cybersecurity overall, but also in particular in Intelligent Energy Systems Cybersecurity. Fraunhofer SIT, with its dedicated Department of Cyber-Physical Systems Security has been on the forefront of research on the domain, thus being enabled to insight into the specifics and nuances of the regulation. While we view the overall state of the regulation draft in a positive light, in regard to its content, processes and methods, we would highlight some areas that demand a more nuanced approach. Centerpiece of the regulation is the Risk Assessment methodology, and subsequent derivation of the Electricity Cybersecurity Impact Index (ECII), which drives, guides, and shapes the rest of the activities to be undertaken. The success of the whole endeavor depends on the robustness of this methodology, and we would urge for a more rigorous approach, particularly to impact criteria selection, criteria scaling and flexibility. Secondly, the interface between the sector, as well as the implications of the ECII, to the National Security of Member States and current Security Architecture of the Union and the NATO Alliance should be paid attention to, as in the unfortunate event of an electricity crisis stemming from cyber vectors, it could lead to complications in the decision-making process of policymakers. Furthermore, the temporal pace of the described activities could align more with the speed of innovation of Information Technology and Cybersecurity, as well as the evolution rate of the threat landscape. With the target cybersecurity profile being achieved in more than eight years, the risk of obsolescence of what is now considered state of the art, is real. Lastly, while we understand that the text should not be prescriptive to technology or implementation approaches, we deem that strategic and tactical design principles for mitigation, prevention, and restoration should supplement the minimum and advanced controls to be selected. As a final note, we stress the volatility of the threat, its socio-technical nature, and the inevitability of compromise. Our adversaries are adaptive, agile, and, most importantly, intelligent.
Virtual Testing Of Automotive Sensor Systems
Creators: name: Sohrmann, Christoph
name: :Unav
Publisher: name: Fraunhofer-Gesellschaft
Year: 2022

description: The development of vehicles has always been a discipline of mechanical engineering. After all, cars were always about the engine, the power, the efficiency. Traditionally, the development of the complex overall automotive system has always been carried out in accordance with classical principles of mechanical engineering, for example by using development models like the V-model. Although the proportion of electronics in automobiles has increased sharply over the past few decades, relatively little has changed here. However, this constant in automotive development is now being challenged by many OEMs. Due to many teams working remotely, driven by the Coronavirus pandemic, as well as worldwide supply bottlenecks for raw materials and semiconductors, a radical rethinking is now taking place. Model-driven engineering, i.e. virtualized prototyping, virtual testing and virtual approval, are pointing the way to the future of automotive development.
A process evaluation and cost benefit analysis investigating the implementation of CNC based manufacturing for the production of solid wood doors at Unison Windows and Doors
Creators: name: Marshall, Jody
Publisher: name: The University of British Columbia
Year: 2016

description: Unison Windows and Doors is a company located on the North Shore of Vancouver which specializes in the manufacturing of solid wood windows and doors. Their current door manufacturing process involves the use of conventional machinery such as table saws, planers and shapers to craft each piece required for door assembly. An opportunity has been identified to optimize the existing manufacturing process by the implementation of Computer Numerical Controlled (CNC) machining to automate the door production process. The proposed CNC router will function to produce the various components required for door assembly. This paper will compare the current manufacturing process with a new proposed process. In addition, it will identify requirements for the implementation of the CNC router including the tools required to perform the machining, the methods of orientating the pre-machined components on the CNC's table, and time estimates of the new processes. A cost benefit analysis of purchasing the CNC machine will be conducted using three popular engineering economic models. A discussion of the current market trends and forecasts for the future growth or decline of the market will be outlined. The advantages and disadvantages of the new process will be explored, and a specific model of CNC router will be suggested.
Efficient Electronics. Reducing energy consumption involves striking a balance between universal and highly specialized architectures
Creators: name: Heinig, Andy
name: :Unav
Publisher: name: Fraunhofer-Gesellschaft
Year: 2024

description: Attention nowadays has turned to the energy consumption of systems that run on electricity. At the moment, the discussion is focused on electricity consumption in data centers: if this continues to rise at its current rate, it will account for a significant proportion of global electricity consumption in the future. Yet there are other, less visible electricity consumers whose power needs are also constantly growing. One example is mobile communications, where ongoing expansion - especially with the new current 5G standard and the future 6G standard - is pushing up the number of base stations required. This, too, will drive up electricity demand, as the latter increases linearly with the number of stations; at least, if the demand per base station is not reduced. Another example is electronics for the management of household appliances and in the industrial sector: more and more such systems are being installed, and their electronics are becoming significantly more powerful. They are not currently optimized for power consumption, but rather for performance.
TESS Experiments: Knowledge, Social Constraint, and Self-Doubt: Mechanisms of Social Network Influence on Attitude Strength
Creators: name: Levitan, Lindsey
Publisher: name: Roper Center for Public Opinion Research
Year: 2022

description: Time-sharing Experiments for the Social Sciences (TESS) offers researchers the opportunity to capture the internal validity of experiments. Investigators submit proposals, and TESS fields successful proposals for free on a representative sample of adults in the United States. This experiment was conducted to measure how knowledge level, confidence, and social constraints can impact strength of opinions on controversial issues. The 582 respondents were divided into two experimental groups and one control group. All respondents were first presented with a series of questions to ascertain their views on and knowledge about the death penalty, and then asked whether members of their social network shared their views. Next, the “Network Affirmation” group were asked to write about a positive social experience and presented with an affirming message about their relationships, whereas respondents in the “Knowledge Affirmation” group were informed that they had demonstrated a high level of knowledge about the death penalty. The control group received neither affirmation. All respondents then reviewed a number of arguments against the death penalty, after which they were asked once again for their opinion. This allowed for comparisons of how arguments may be evaluated differently depending on whether a respondent’s focus was on social cues or knowledgeability.