@article{KauppHuber2025, author = {Kaupp, Sabine and Huber, Florian}, title = {Does mental model similarity equal innovation team performance?}, volume = {22}, journal = {Innovation \& Management Review}, number = {4}, publisher = {Emerald}, address = {Bingley}, issn = {2515-8961}, doi = {https://doi.org/10.1108/INMR-09-2023-0152}, pages = {280 -- 292}, year = {2025}, abstract = {Purpose This paper addresses challenges and opportunities of interdisciplinary teamwork in innovation management, focusing on how team mental models (TMMs) can foster more effective collaboration among team members from diverse backgrounds. The research examines the relationship between TMM similarity and team performance in interdisciplinary innovation teams. Design/methodology/approach An exploratory study was conducted with 55 participants across 15 teams. TMM similarity was measured by analyzing team interactions using a web-based interface that facilitated contrasted comparison ratings. These ratings were first processed into individual graphs via a shortest-node-finding pathfinder algorithm, then compared. Subject matter experts evaluated team performance. Findings The results reveal a significant positive correlation between TMM similarity and team performance in interdisciplinary innovation teams, suggesting that greater alignment in team members' mental models enhances overall innovation project performance. Research limitations/implications Although the academic programs sampled replicate the environment, challenges and various other aspects of innovation projects, they can only be considered proxies for innovation projects within real organizations. Further research within professional environments, using a larger sample, is recommended. Practical implications The findings highlight the value of assessing and fostering TMM similarity to improve teamwork and performance in interdisciplinary innovation projects. The interface and code used are publicly available to encourage their implementation in organizations. Originality/value This research provides novel insights into the application of TMMs within interdisciplinary innovation teams, extending the concept beyond its traditional use in unidisciplinary and structured task settings.}, language = {en} } @unpublished{SalamatMatternOlzemetal.2025, author = {Salamat, Babak and Mattern, Dominik and Olzem, Sebastian-Sven and Elsbacher, Gerhard and Seidel, Christian and Tonello, Andrea M.}, title = {GMP3: Learning-Driven, Bellman-Guided Trajectory Planning for UAVs in Real-Time on SE(3)}, publisher = {arXiv}, address = {Ithaca}, doi = {https://doi.org/10.48550/arXiv.2509.21264}, year = {2025}, abstract = {We propose GMP3, a multiphase global path planning framework that generates dynamically feasible three-dimensional trajectories for unmanned aerial vehicles (UAVs) operating in cluttered environments. The framework extends traditional path planning from Euclidean position spaces to the Lie group SE(3), allowing joint learning of translational motion and rotational dynamics. A modified Bellman-based operator is introduced to support reinforcement learning (RL) policy updates while leveraging prior trajectory information for improved convergence. GMP3 is designed as a distributed framework in which agents influence each other and share policy information along the trajectory: each agent refines its assigned segment and shares with its neighbors via a consensus-based scheme, enabling cooperative policy updates and convergence toward a path shaped globally even under kinematic constraints. We also propose DroneManager, a modular ground control software that interfaces the planner with real UAV platforms via the MAVLink protocol, supporting real-time deployment and feedback. Simulation studies and indoor flight experiments validate the effectiveness of the proposed method in constrained 3D environments, demonstrating reliable obstacle avoidance and smooth, feasible trajectories across both position and orientation. The open-source implementation is available at https://github.com/Domattee/DroneManager.}, language = {en} } @article{PeintnerMangerBergeretal.2025, author = {Peintner, Jakob and Manger, Carina and Berger, Melanie and Riener, Andreas}, title = {Balancing transparency and control: The impact of AI explanation detail on user perception in automated vehicles}, volume = {2025}, pages = {101742}, journal = {Transportation Research Interdisciplinary Perspectives}, number = {34}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2590-1982}, doi = {https://doi.org/10.1016/j.trip.2025.101742}, year = {2025}, abstract = {As automated vehicle technology advances, explainable AI has emerged as a critical tool to enable users to understand and predict the behavior of AI systems, particularly in safety-critical applications such as automated driving. However, increased transparency in AI explanations may inadvertently contribute to an "illusion of control", a cognitive bias in which drivers overestimate their influence or understanding of the AI's actions. We aim to better understand how the level of detail in AI explanations affects users of automated vehicles. In a virtual reality study, N = 44 participants experienced different explanation levels (low, medium, high) in an automated ride (SAE L4) compared to a baseline condition with no explanations. The results show a significant improvement in participants' user experience, acceptance, and explanation satisfaction, with more detailed explanations. Our findings also indicate that as AI explanations become more detailed, users' perceived level of control increases significantly, although this perception does not correlate with actual control capabilities. At the same time, it decreased their desire to take control, indicating users' susceptibility to the 'illusion of control' bias in the context of automated driving. Overall, this suggests that the design of explanation interfaces should strive for a balanced level of detail that promotes AI transparency without causing cognitive overload. At the same time, explainable AI can be utilized to decrease users' desire to intervene in the AI's actions.}, language = {en} } @inproceedings{MichlHofKatzenbeisser2025, author = {Michl, Marco and Hof, Hans-Joachim and Katzenbeisser, Stefan}, title = {From Access to Trust: Policy-Based Automotive Trust Management With XACML}, pages = {6}, booktitle = {Proceedings of the 2nd Cyber Security in CarS Workshop (CSCS'25)}, publisher = {ACM}, address = {New York}, isbn = {979-8-4007-1928-8}, doi = {https://doi.org/10.1145/3736130.3764511}, year = {2025}, abstract = {Trust is a fundamental requirement in vehicular systems, particularly in the context of autonomous and cooperative driving, where decisions often depend on data received from other vehicles or infrastructure. This paper presents a novel approach to integrating trust-based reasoning—specifically, decision-making based on subjective logic—into Attribute-Based Access Control (ABAC) systems, using the XACML policy language. We draw a parallel between trust management and access control, showing that trust assessments can be modeled as access decisions and expressed through standard access control policies. This integration allows for the reuse of mature ABAC infrastructure to represent and enforce trust-based decisions. Furthermore, we demonstrate how trust discounting mechanisms, which combine node-based and data-based trust, can be implemented within XACML policies. To evaluate this approach, we introduce a Rust-based XACML engine capable of interpreting trust-enhanced policies. Its integration in both inter- and intra-vehicle scenarios is discussed, assuming a modern zone-based architecture. Our results suggest that policy-based trust management can be efficiently implemented, enabling flexible and standardized trust reasoning in automotive environments.}, language = {en} } @inproceedings{LavesHutzelmannMayeretal.2025, author = {Laves, Claudius and Hutzelmann, Thomas and Mayer, Kevin and Hof, Hans-Joachim}, title = {Driving Down Premiums: A Security and Forensic Analysis of the DriveWell Insurance System}, pages = {9}, booktitle = {Proceedings of the 2nd Cyber Security in CarS Workshop (CSCS'25)}, publisher = {ACM}, address = {New York}, isbn = {979-8-4007-1928-8}, doi = {https://doi.org/10.1145/3736130.3762688}, year = {2025}, abstract = {Modern car insurance companies can dynamically adjust premiums with mobile sensor units that constantly record, analyze, and grade driving behavior. However, attackers can tamper with these systems to cheat the insurance company and reduce their premiums. We developed an attacker model for this threat in conjunction with a risk assessment using the ISO/SAE 21434 Risk Rating Methodology, a widely accepted standard for evaluating and managing risks in automotive systems. To support and showcase our model, we examined the static IT security of the mobile sensor unit DriveWell and its companion Android application HUK Mein Auto. In particular, we utilized digital forensic tools to analyze the stored data in the sensor's internal storage and the app's smartphone storage, with a focus on encryption mechanisms for locally stored data and internet communication. During this analysis, we spotted a critical vulnerability that enables attackers to manipulate their insurance scores and potentially reduce premiums by up to 30\%. Our model and real-world analysis provide a solid foundation for reducing the risk of such manipulation of insurance premiums.}, language = {en} } @article{WanZhaoWiedholzetal.2025, author = {Wan, Lei and Zhao, Jianxin and Wiedholz, Andreas and Bied, Manuel and Martinez de Lucena, Mateus and Jagtap, Abhishek Dinkar and Festag, Andreas and Fr{\"o}hlich, Ant{\^o}nio and Keen, Hannan Ejaz and Vinel, Alexey}, title = {A Systematic Literature Review on Vehicular Collaborative Perception—A Computer Vision Perspective}, volume = {27}, journal = {IEEE Transactions on Intelligent Transportation Systems}, number = {1}, publisher = {IEEE}, address = {New York}, issn = {1558-0016}, doi = {https://doi.org/10.1109/TITS.2025.3631141}, pages = {81 -- 118}, year = {2025}, abstract = {The effectiveness of autonomous vehicles relies on reliable perception capabilities. Despite significant advancements in artificial intelligence and sensor fusion technologies, current single-vehicle perception systems continue to encounter limitations, notably visual occlusions and limited long-range detection capabilities. Collaborative Perception (CP), enabled by Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication, has emerged as a promising solution to mitigate these issues and enhance the reliability of autonomous systems. Beyond advancements in communication, the computer vision community is increasingly focusing on improving vehicular perception through collaborative approaches. However, a systematic literature review that thoroughly examines existing work and reduces subjective bias is still lacking. Such a systematic approach helps identify research gaps, recognize common trends across studies, and inform future research directions. In response, this study follows the PRISMA 2020 guidelines and includes 106 peer-reviewed articles. These publications are analyzed based on modalities, collaboration schemes, and key perception tasks. Through a comparative analysis, this review illustrates how different methods address practical issues such as pose errors, temporal latency, communication constraints, domain shifts, heterogeneity, and adversarial attacks. Furthermore, it critically examines evaluation methodologies, highlighting a misalignment between current metrics and CP's fundamental objectives. By delving into all relevant topics in-depth, this review offers valuable insights into challenges, opportunities, and risks, serving as a reference for advancing research in vehicular collaborative perception.}, language = {en} } @inproceedings{UllrichBayerlHutzelmannetal.2025, author = {Ullrich, Henning and Bayerl, Dominik and Hutzelmann, Thomas and Hof, Hans-Joachim}, title = {Application of Quantum Key Distribution in Intelligent Transport Systems}, pages = {5}, booktitle = {Proceedings of the 2nd Cyber Security in CarS Workshop (CSCS'25)}, publisher = {ACM}, address = {New York}, isbn = {979-8-4007-1928-8}, doi = {https://doi.org/10.1145/3736130.3762692}, year = {2025}, abstract = {Quantum Key Distribution (QKD) enables two parties to generate a secret key, based on quantum physical properties. The secrecy of the exchanged key is guaranteed by these quantum physical properties, even against an attacker using a quantum computer. QKD therefore offers an Quantum Information Theoretically Secure (Q-ITS) alternative to Post Quantum Cryptography (PQC) schemes. This paper discusses advantages and challenges of deploying a QKD system in an Intelligent Transport System (ITS), by examining two exemplary use cases. Approaches to effectively implement QKD in these use cases are proposed, with a short discussion of advantages over the use of classical and PQC schemes.}, language = {en} } @article{AgostinelliAsatianiAxmannetal.2025, author = {Agostinelli, Simone and Asatiani, Aleksandre and Axmann, Bernhard and Hannibal, Glenda and Modlinski, Artur}, title = {Trust Calibration for RPA}, volume = {14}, journal = {Dagstuhl Reports}, number = {7}, publisher = {Schloss Dagstuhl}, address = {Dagstuhl}, issn = {2192-5283}, doi = {https://doi.org/10.4230/DagRep.14.7.52}, pages = {61 -- 64}, year = {2025}, abstract = {This working group focused on foundational issues of trust in RPA: How we can conceptualize trust between users and software robots and specify it in a way that, eventually, we can measure that trust empirically.}, language = {en} } @article{GleissnerKotonski2025, author = {Gleißner, Christian and Kotonski, Julia}, title = {The classification of rigid torus quotients with canonical singularities in dimension three}, volume = {36}, journal = {Rendiconti Lincei: Matematica e Applicazioni}, number = {2}, publisher = {EMS Press}, address = {Berlin}, issn = {1720-0768}, doi = {https://doi.org/10.4171/RLM/1070}, pages = {315 -- 352}, year = {2025}, abstract = {We provide a fine classification of rigid 3-dimensional torus quotients with isolated canonical singularities, up to biholomorphism and diffeomorphism. This complements the classification of Calabi-Yau 3-folds of type III0​, which are those quotients with Gorenstein singularities.}, language = {en} } @unpublished{IvanHirlingGrexaetal.2025, author = {Ivan, Zsanett Zsofia and Hirling, Dominik and Grexa, Istvan and Ammeling, Jonas and Micsik, Tamas and Dobra, Katalin and Kuthi, Levente and Sukosd, Farkas and Aubreville, Marc and Miczan, Vivien and Horvath, Peter}, title = {Subphase-Labeled Mitotic Dataset for AI-powered Cell Division Analysis}, publisher = {bioRxiv}, address = {Cold Spring Harbor}, doi = {https://doi.org/10.1101/2025.07.17.665280}, year = {2025}, abstract = {Mitosis detection represents a critical task in the field of digital pathology, as determination of the mitotic index (MI) plays an important role in the tumor grading and prognostic assessment of patients. Manual determination of MI is a labor-intensive and time-consuming task for practitioners with rather high interobserver variability, thus, automation has become a priority. There has been substantial progress towards creating robust mitosis detection algorithms in recent years, primarily driven by the Mitosis Domain Generalization (MIDOG) challenges. In parallel, there has been growing interest in the molecular characterization of mitosis with the goal of achieving a more comprehensive understanding of its underlying mechanisms in a subphase-specific manner. Here, we introduce a new mitotic figure dataset annotated with subphase information based on the MIDOG++ dataset as well as a previously unrepresented tumor domain to enhance the diversity and applicability of the dataset. We envision a new perspective for domain generalization by improving the performance of models with subtyping mitotic cells into the 5 main stages of normal mitosis, complemented with an atypical mitotic class. We believe that our work broadens the horizon in digital pathology: subtyping information could provide useful help for mitosis detection, while also providing promising new directions in answering biological questions, such as molecular analysis of the subphases on a single cell level.}, language = {en} } @inproceedings{PawlowskyRischkeWick2025, author = {Pawlowsky, Raik and Rischke, Roman and Wick, Michael}, title = {Handreichung zur Lehre mit (mathematischen) Concept Maps}, booktitle = {Tagungsband zum 6. Mint Symposium: Zukunft MINT Lehre: Was bleibt? Was kommt? Was wirkt?}, editor = {D{\"o}lling, Hanna and Sch{\"a}fle, Claudia}, publisher = {BayZiel}, address = {M{\"u}nchen}, doi = {10.57825/repo_in-6447}, pages = {395 -- 402}, year = {2025}, abstract = {Dieser Artikel stellt Ihnen mathematische Concept Maps (CMs) als Lehr- und Lernwerkzeug vor und grenzt sie von klassischen, sprachbasierten CMs ab. Mathematische CMs dienen speziell der Darstellung mathematischer Zusammenh{\"a}nge unter Verwendung von Formeln. Ihr Potenzial f{\"u}r die Lehre liegt insbesondere in der Verbesserung der Klarheit und Verst{\"a}ndlichkeit mathematischer Zusammenh{\"a}nge sowie in der F{\"o}rderung sozialer Interaktion. Dar{\"u}ber hinaus bieten sie Lernenden Unterst{\"u}tzung bei der Einsch{\"a}tzung des eigenen Lernbedarfs und -fortschritts. Diese Handreichung richtet sich an Lehrende, die CMs im Vortrag oder interaktiv einsetzen m{\"o}chten. Auch Studierende, die CMs zum eigenst{\"a}ndigen Lernen nutzen m{\"o}chten, erhalten hier Anregungen. Neben den theoretischen Grundlagen wird der Nutzen von CMs zur Vertiefung des fachlichen Verst{\"a}ndnisses diskutiert und Sie erhalten praxisnahe Tipps, wie CMs in der Mathematik oder in verwandten Fachgebieten zum Lehren und Lernen eingesetzt werden k{\"o}nnen.}, language = {de} } @inproceedings{BittnerEnglHauseretal.2025, author = {Bittner, Dominik and Engl, Fabian and Hauser, Florian and Mottok, J{\"u}rgen and Saßmannshausen, Sean Patrick}, title = {Eye Movement Modeling Examples zu Usability-Heuristiken}, booktitle = {Tagungsband zum 6. Mint Symposium: Zukunft MINT Lehre: Was bleibt? Was kommt? Was wirkt?}, editor = {D{\"o}lling, Hanna and Sch{\"a}fle, Claudia}, publisher = {BayZiel}, address = {M{\"u}nchen}, doi = {10.57825/repo_in-6448}, pages = {403 -- 412}, year = {2025}, abstract = {UI/UX-Gestaltung ist f{\"u}r die Mensch-Computer-Interaktion bei Webanwendungen entscheidend. Hohe Nutzererwartungen und starker Wettbewerb erfordern Usability-Messungen, um Nutzer langfristig zu binden. Die Heuristic Evaluation (HE) stellt diesbez{\"u}glich eine effiziente Messmethode dar, ihr Erfolg h{\"a}ngt jedoch stark von der Erfahrung der Evaluatoren ab - Experten finden bis zu 50 \% mehr Probleme als Novizen. Um diese Performanzl{\"u}cke bei der Anwendung der HE zu schließen, werden in diesem Paper Eye Movement Modeling Examples (EMMEs) hinsichtlich ihrer Wirksamkeit untersucht. Dabei werden die Blickbewegungen und Kommentare von Usability-Experten aufgezeichnet, w{\"a}hrend sie eine Website anhand von Jakob Nielsens zehn Heuristiken bewerten. Dies visualisiert Expertenstrategien und kognitive Prozesse und macht die Heuristiken didaktisch nutzbar und f{\"u}r Novizen nachvollziehbar. Fragebogenbefunde zu den EMMEs best{\"a}tigen, dass diese als hilfreich und lernf{\"o}rdernd wahrgenommen werden, was ein tieferes Verst{\"a}ndnis erm{\"o}glicht und den Einsatz in anderen Dom{\"a}nen unterst{\"u}tzen k{\"o}nnte.}, language = {de} } @book{OPUS4-6449, title = {Tagungsband zum 6. Mint Symposium}, subtitle = {Zukunft MINT Lehre: Was bleibt? Was kommt? Was wirkt?}, editor = {D{\"o}lling, Hanna and Sch{\"a}fle, Claudia}, publisher = {BayZiel}, address = {M{\"u}nchen}, doi = {10.57825/repo_in-6449}, pages = {415}, year = {2025}, language = {de} } @inproceedings{Mueller2025, author = {M{\"u}ller, Ute Carina}, title = {Ergebnisse einer Evaluationsstudie des Onlineangebots zur Studienvorbereitung von MINTFIT Hamburg}, booktitle = {Tagungsband zum 6. Mint Symposium: Zukunft MINT Lehre: Was bleibt? Was kommt? Was wirkt?}, editor = {D{\"o}lling, Hanna and Sch{\"a}fle, Claudia}, publisher = {BayZiel}, address = {M{\"u}nchen}, doi = {10.57825/repo_in-6351}, pages = {39 -- 48}, year = {2025}, abstract = {Um den hohen Studienabbruchquoten im MINT-Bereich entgegenzuwirken, bietet MINTFIT Hamburg studienvorbereitende Onlinetests und -kurse in MINT-F{\"a}chern an. Die Teilnahme ist unabh{\"a}ngig von einer Hochschuleinschreibung, freiwillig und kann anonym erfolgen. Hierdurch wird eine niederschwellige und fr{\"u}hzeitige Teilnahme erm{\"o}glicht, eine Untersuchung zum Einfluss des Angebots auf die Studieneingangsphase jedoch erschwert. Daher wurde zum Wintersemester 2021/22 mit einer Fragebogenstudie begonnen, die j{\"a}hrliche Kohorten bis zum Abschluss ihres vierten Semesters begleitet. Es wurden pers{\"o}nliche Angaben zu den bisher 355 Teilnehmenden, Informationen zu ihrer Studienvorbereitung und Selbsteinsch{\"a}tzung hinsichtlich des Vorbereitungsstands, Klausurnoten der ersten vier Semester sowie eine Einsch{\"a}tzung zu MINTFIT erfasst und ausgewertet. Auf Grundlage der Ergebnisse soll das Unterst{\"u}tzungsangebot von MINTFIT auf seine Passgenauigkeit hin {\"u}berpr{\"u}ft, optimiert und zukunftsf{\"a}hig gestaltet werden.}, language = {de} } @inproceedings{SchuetterKerndlGroosRettenmeieretal.2025, author = {Sch{\"u}tter-Kerndl, Britta and Groos, Lisa and Rettenmeier, Eveline and Beirau, Michelle and Soueidan, Jasmin and Dehm, Annika and Rothe, Linus and Sivakumar, Anja and Malitzke, Patricia and Schmidt, Holger and Bucher, Jan}, title = {Mathe lernen und Lernen lernen: Ein zentraler Vorkurs, nicht nur gegen Matheangst}, booktitle = {Tagungsband zum 6. Mint Symposium: Zukunft MINT Lehre: Was bleibt? Was kommt? Was wirkt?}, editor = {D{\"o}lling, Hanna and Sch{\"a}fle, Claudia}, publisher = {BayZiel}, address = {M{\"u}nchen}, doi = {10.57825/repo_in-6350}, pages = {31 -- 38}, year = {2025}, abstract = {Der zentrale Vorkurs der Hochschule Aalen ist ein Spiegel der Hochschule und des Studiums. Waren es fr{\"u}her vor allem Fachinhalte in Mathematik, werden mittlerweile umfangreichere Unterst{\"u}tzungsangebote auch {\"u}ber den Vorkurs hinaus angeboten. Statt nur „Mathe lernen" und dem Kennenlernen, findet so auch „Lernen lernen" den Eingang ins Curriculum des zentralen Vorkurses. M{\"o}glich wird dies auch durch die selbst entwickelte digitale Plattform mathe.studien.cloud, die den notwendigen curricularen Raum schafft und im Vorkurs und der Studieneingangsphase erprobt wird. Der Artikel diskutiert diese Weiterentwicklung als Intervention zu Matheangst, auch Math Anxiety genannt. Anhand dieses umfangreichen und komplexen Problemfelds kann gezeigt werden, wie die verschiedenen inhaltlichen und technischen Innovationen ineinandergreifen, um auch f{\"u}r zuk{\"u}nftige Herausforderungen bei der Unterst{\"u}tzung der Studierenden gewappnet zu sein.}, language = {de} } @inproceedings{GatermannWeissingerGramschetal.2025, author = {Gatermann, Carsten Thomas and Weißinger, Nils and Gramsch, Jenny and Fincke, Sabine}, title = {MINT-Tutoren f{\"u}r Th{\"u}ringer Facharbeitsprojekte}, booktitle = {Tagungsband zum 6. Mint Symposium: Zukunft MINT Lehre: Was bleibt? Was kommt? Was wirkt?}, editor = {D{\"o}lling, Hanna and Sch{\"a}fle, Claudia}, publisher = {BayZiel}, address = {M{\"u}nchen}, doi = {10.57825/repo_in-6349}, pages = {24 -- 30}, year = {2025}, abstract = {In der gymnasialen Oberstufe in Th{\"u}ringen ist die Erstellung einer (Seminar-)Facharbeit ein verpflichtendes Element. An der TU Ilmenau wird seit einem Jahr ein kollaborativer Ansatz erprobt, der die Betreuung der Sch{\"u}ler kompetenzorientiert und basierend auf zeitlich abgestimmten Wissenspaketen gestaltet. Ein wesentliches Element dieses Ansatzes ist die Einbindung von studentischen Tutoren, die in diesem Beitrag vorgestellt wird. Die Tutoren, vornehmlich mit eigenen Erfahrungen aus den praxisorientierten Angeboten der Studieneingangsphase der TU Ilmenau, {\"u}bernehmen Betreuungsaufgaben im Rahmen der Facharbeiten und haben in ihrem Aufgabenbereich Expertenstatus. Durch die Betreuung erleben die Sch{\"u}ler Teamarbeit in heterogenen Teams und lernen wissenschaftliche Arbeitstechniken in einem außerschulischen Umfeld kennen. Die Tutoren k{\"o}nnen w{\"a}hrend der Betreuung ihr (Fach-)Wissen vertiefen und durch Impulse von Lehrenden didaktische Kompetenzen ausbauen.}, language = {de} } @unpublished{SuciuBock2025, author = {Suciu, Tobias and Bock, J{\"u}rgen}, title = {A Practical Approach to Multivariate Time Series Anomaly Detection in Automotive Bus Systems Testing}, titleParent = {Research Square}, publisher = {Research Square}, address = {Durham}, doi = {https://doi.org/10.21203/rs.3.rs-7778102/v1}, year = {2025}, abstract = {The increasing complexity of modern vehicles and their testing procedures generates vast amounts of multivariate time series data, making manual anomaly detection during automotive testing increasingly challenging. This article investigates the application of deep learning algorithms for automated anomaly detection in automotive bus data collected during dynamic driving scenarios. Three distinct architectures are implemented and compared: a CNN-based forecasting approach (DeepAnT), an LSTM-based model (LSTM-AD), and a Convolutional Autoencoder (CAE). Real-world driving data collected across various scenarios, ranging from normal operation to extreme maneuvers, is employed. Through evaluation across seven distinct test scenarios, findings reveal that while each architecture demonstrates specific strengths, their effectiveness varies significantly based on anomaly type and driving context. DeepAnT shows the most consistent performance across different scenarios, while LSTM-AD achieves superior detection capability for complex temporal patterns, particularly in scenarios involving coordinated changes across multiple features. The CAE excels at identifying pronounced deviations but shows limitations in detecting subtle anomalies. This study demonstrates that while deep learning models effectively detect anomalies in automotive time series data, their practical implementation requires careful consideration of specific use cases, emphasizing the critical role of data preprocessing and threshold calculation in ensuring reliable anomaly detection.}, language = {en} } @article{JamadarSekharYadaetal.2025, author = {Jamadar, Mohammad I. and Sekhar, Ravi and Yada, Vijay Ramarao and Rairikar, Sandeep D. and Thipse, Sukrut}, title = {Emission Testing of Flex Fuel Vehicles up to M100/E100: Upgradation of Existing Test Facility for Vehicles below 3.5-ton GVW for Testing Methanol or Ethanol Operated Vehicles}, volume = {58}, journal = {Journal Europ{\´e}en des Syst{\`e}mes Automatis{\´e}s​}, number = {8}, publisher = {IIETA}, address = {Edmonton}, issn = {2116-7087}, doi = {https://doi.org/10.18280/jesa.580816}, pages = {1721 -- 1732}, year = {2025}, abstract = {This paper is focused on enhancing the existing dilute emission measurement system to accommodate the emission testing of vehicles operating with gasoline blends with methanol and ethanol, dedicated M100/E100 etc. India is moving towards achieving the E20 blend on the pan-country level by April 2025 with the initiations of NITI Aayog and exploring alternate fuels like 100\% methanol and ethanol. Government of India is now focused on introducing the flex fuel vehicle (FFV) technology that supports the usage of higher ethanol blends. As per CMVR guidelines for M and N category vehicles with a gross vehicle weight less than 3,500 kg; a dilute emission measurement system is used to evaluate tailpipe pollutants and fuel economy. Most of the present emission systems are compatible with testing the vehicle till M15 and E20 blends. Beyond this percentage, usage of a test facility for M100, E100, and other flex-fuel vehicles, require certain modifications in existing test facility to maintain the precision and reliability of the results considering higher water content in exhaust and effect of condensation on emission measurement due to dilution. The modifications needed, implementation and their impact are experimentally briefed in the present paper.}, language = {en} } @article{AxmannHarmoko2024, author = {Axmann, Bernhard and Harmoko, Harmoko}, title = {The Assessment Model of Robotic Process Automation (RPA) Project Using Benefit Study and Balanced Scorecard (BSC) Approach}, volume = {18}, journal = {Tehnički glasnik}, number = {2}, publisher = {University North}, address = {Koprivnica}, issn = {1848-5588}, doi = {https://doi.org/10.31803/tg-20240416111054}, pages = {246 -- 253}, year = {2024}, abstract = {Assessing Robotic Process Automation (RPA) projects is challenging, especially for small and medium-sized enterprises (SMEs) with limited resources. The most common approach, cost-benefit analysis, measures the financial success of a project, but it does not capture all RPA benefits, which can lead to erroneous decisions about starting, continuing, delaying, or stopping an RPA project. This research presents a novel RPA project assessment model that combines a benefits approach with the balanced scorecard (BSC) framework. The model identifies RPA benefits from the scientific literature and classifies them into four BSC indicators: financial, business process improvement, customer satisfaction, and learning and development. SMEs can easily use the model by comparing expected and actual benefits to make quick and holistic decisions. The model's simplicity, ease of use, and ability to reveal both monetary and non-monetary RPA benefits make it a valuable tool for SMEs.}, language = {en} } @article{SchuhmacherGassmannKwisdaetal.2025, author = {Schuhmacher, Alexander and Gassmann, Oliver and Kwisda, Sebastian and Kremer, Malte and Hinder, Markus and Hartl, Dominik}, title = {The R\&D productivity challenge: transforming the pharmaceutical ecosystem}, volume = {30}, pages = {104494}, journal = {Drug Discovery Today}, number = {11}, publisher = {Elsevier}, address = {Amsterdam}, issn = {1878-5832}, doi = {https://doi.org/10.1016/j.drudis.2025.104494}, year = {2025}, abstract = {The persistent decline in pharmaceutical R\&D productivity has been extensively analyzed and debated for over two decades, with profound implications for the structure and strategy of the pharmaceutical industry. This systemic challenge forced many leading companies to adapt their R\&D models, influencing internal capabilities and external innovation strategies. In response, the industry has evolved into a complex, interdependent biopharmaceutical ecosystem encompassing large pharmaceutical corporations, biotech innovators and specialized service providers. Although R\&D productivity affects all research-driven companies, its consequences are particularly pronounced for large pharmaceutical firms, because the scale and capital intensity of their R\&D activities make productivity a crucial determinant of long-term competitiveness and sustainability. By contrast, other stakeholders are only partially adversely affected, whereas some can even obtain value from it.}, language = {en} }