Universiteit Twente Repository

University of Twente

Universiteit Twente Repository
Not a member yet
    154092 research outputs found

    Digitalisering van talentmanagement:De invloed van geavanceerde technologie op het managen van talenten in voetbal

    Get PDF
    Talentmanagement (TM) wordt steeds belangrijker voor organisaties om succesvol te zijn op de lange termijn, waarbij technologie in toenemende mate wordt gebruikt voor talentidentificatie en ontwikkeling. Er is echter nog beperkte kennis over hoe geavanceerde technologieën talentmanagementactiviteiten veranderen. Dit onderzoek gaat daarom in op de vraag op welke manieren deze technologieënworden ingezet en hoe dit talentmanagementpraktijken vormgeeft. Deze vragen worden beantwoord op basis van een verkennende casestudie bij voetbalclub Heracles Almelo, een topsportorganisatie actief in de Nederlandse Eredivisie. Op basis van interviews, observaties en nieuwsartikelen analyseerden we de activiteiten en de inzet van technologie bij de instroom, doorstroom, en uitstroom van talent. Deresultaten laten zien dat talentmanagementactiviteiten veranderen in samenhang met materiële en sociale aspecten: door uitgebreide verzameling van prestatiedata worden deze technologieën gebruikt ter ondersteuning van de identificatie en ontwikkeling van talent - waarbij rollen van medewerkers en de organisatiecontext co-evolueren. Op basis van deze inzichten bediscussiëren we implicaties voor talentmanagement en beschrijven we lessen voor de HR-praktijk

    Deciphering Muscular Dynamics:A Dual-Attention Framework for Predicting Muscle Contraction from Activation Patterns

    Get PDF
    Quantitatively deciphering the relationship between muscle activation and thickness deformation is essential for diagnosing muscle-related diseases and monitoring muscle health (e.g., Facioscapulohumeral Dystrophy). Despite the potential of ultrasound (US) imaging and sensing to measure changes in muscle thickness during movements, it remains challenging to make a fully portable device, considering the wiring and data collection. On the other hand, surface electromyography (sEMG) can record muscle bioelectrical signals and measure muscle activations, offering a unique perspective that correlates with underlying changes in muscle thickness. This paper introduces a deep-learning-based approach that used sEMG signals to infer muscle deformation. Using a hierarchical combination of self-attention and cross-attention mechanisms, this method predicted muscle deformation directly from sEMG data, eliminating the dependency on applying ultrasound imaging techniques. The experimental results on six healthy subjects indicated that our approach could accurately predict muscle excursion with an average precision of 0.923±0.900mm, showing benefits in measuring muscle deformation only with a sEMG device. This technique facilitates real-time portable muscle health monitoring by sEMG to provide bioelectrical signals and biomechanical information. It indicates the great potential of using this technique in clinical diagnostics, sports science, and rehabilitation.</p

    Mutual Coupling Correction Factor for Optimized Multiaxis Shielded Loop Antenna Magnetic Field Measurements

    Get PDF
    Standard measurement procedures CISPR 36 for magnetic field measurements below 30 MHz is time consuming. To maintain realistic measurement time, standards limit the amount of the measurement positions and antennas orientations as well as evaluation of the operational modes of the electric vehicle being tested. This article introduces a multiaxis shielded loop antenna (MSLA) for magnetic field measurements below 30 MHz, proposing a new measurement approach that evaluates all three orientations simultaneously, significantly reducing the required time. The proposed methodology employs multichannel time-domain measurements, providing access to all three axes simultaneously. The article thoroughly analyses the effects of the MSLA construction on the measurement results under the influence of the mutual coupling (MC) effect between the antennas. The available phase information from each measurement axis due to the proposed measurement method is used to utilize the MC correction factor. Altogether, the novel multiaxis measurement setup with the provided MC correction factor can greatly improve measurement accuracy of the MSLA and drastically reduce standard measurement time

    Time Modulated Array and Time Variant Filter Techniques to Reduce Receiver Hardware Complexity and Power Consumption

    Get PDF
    Sustainability is a key goal for 6G, which focuses on minimizing the environmental impact of network operations through energy-efficient designs, agile architectures, and renewable energy sources. While traditional hardware is designed to optimize its performance with maximum functionalities to cover all possible scenarios, this often results in high system complexity. Therefore, scalable system performance with good power efficiency and moderate hardware complexity is key to 6G sustainability. This paper explores power reduction and performance/functionalities trade-offs combining two recently proposed time-variant CMOS radio receiver techniques: 1) a Time Modulated Array (TMA) technique that re-uses a single 4-element phased array to concurrently receive data streams from 5 different beam directions; 2) a time-interleaved Analog Finite Impulse Response Filter (AFIR) with embedded frequency translation realizing the selectivity to separate the 5 data streams. The aim of the paper is to assess the realistically achievable power and hardware complexity savings and relevant trade-offs with radio performance

    Optimization research to minimize fuel consumption/ NOx emission of a two-stroke low speed marine diesel engine

    No full text
    This paper has proposed a single objective optimization approach using particle swarm optimization (PSO) algorithm to minimize fuel consumption (CO2 emission) or NOx emissions. The proposed optimization approach is conducted based on a zero-dimensional engine model, which is validated with engine experiment data. The compression ratio (CR), start of injection timing (SOI) and exhaust valve closing timing (EC) are selected as optimization variables based on single-parameter sensitivity analysis, as they have significant impact on engine specific fuel oil consumption (SFOC) and NOx emissions. A diesel engine performance optimization program is established, with the minimum SFOC or NOx emissions as the optimization objective, respectively. During the optimization process, constraints on the maximum combustion pressure (Pmax) and the maximum pressure rise rate are considered. A two-stroke diesel engine MAN’s 7G80ME-C is used for case analysis. The optimization results show that a maximum fuel reduction of 2.26% can be achieved at 100% load when SFOC is selected as objective. On the other hand, NOx emissions can be reduced up to 24.61% when minimizing NOx is selected as the objective.</p

    Quantifying soil resistance to sheet and lateral erosion across different habitats on a managed sandy back-barrier island

    Get PDF
    Back-barrier islands are understudied, dynamic, soft-sediment coastal landscapes located in fetch-limited environments. They are of key ecological importance; however, they are threatened by global change impacts including increasing storm surges and sea level rise. This study aimed to investigate the soil erosion resistance to hydraulic forces of different habitats across a sandy back-barrier island with characteristic sandy subsoils that has been managed &gt;100 years to prevent its complete erosion and submergence. We quantified sheet and lateral soil erosion resistance in flumes, investigated their correlations with sediment and belowground vegetation characteristics, and discussed how these characteristics may relate to the island's past management and development. Soil cores were collected from the barrier dune ridge, back-barrier marshes and unvegetated sandflats and were exposed laterally to waves (lateral erosion) and horizontally to water flow (sheet erosion). Resistance to sheet and lateral erosion was not correlated. Resistance to lateral erosion depended on the thickness of the cohesive topsoil layer accreted by the marsh vegetation on top of a sandy subsoil. For instance, marsh soils with thin cohesive topsoils were resistant to sheet erosion (&lt;0.5 cm erosion in 3 hr) but not to lateral erosion (collapsed within the first 10 min), which could make them vulnerable to wave attacks if they get laterally exposed during island erosion. Topsoil thickness was related to marsh elevation and age. In turn, the development of the cohesive layer may be related to the past management of the island, as soft engineering measures such as beach nourishments can create sheltered conditions for marsh development.</p

    Performance of the First 80-kA HTS CICC for High-Field Application in Future Fusion Reactors

    Get PDF
    A promising way to realize controlled nuclear fusion involves the use of magnetic fields to control and confine the hot plasma configuration. This approach requires superconductor magnets operating above 15 T for the next generation of fusion devices. Due to their high in-field transport current capacity, rare-Earth barium copper oxide (REBCO) coated conductors are promising materials for manufacturing of cable-in-conduit conductors (CICCs) for fusion. However, the high-aspect-ratio geometry makes it difficult to find a multi-tape CICC configuration that fulfills the high engineering current density requirements while retaining enough flexibility for winding large-scale magnets. Moreover, the multilayer structure and inherent brittleness make the REBCO tapes susceptible to degradation during CICC manufacturing and operation. For more than a decade, the development of a reliable REBCO-based CICC that can sustain the huge combined mechanical, thermal, and Lorentz loads without degradation has been ongoing, albeit with limited progress. In this paper, we report on a prototype REBCO CICC that can withstand an applied cyclic Lorentz load of at least 830 kN·m−1, corresponding to a transport current of 80 kA at 10.85 T and 4.5 K. To our knowledge, this is the highest load achieved to date. The CICC uses 288 tapes wound into six strengthened sub-cables, making it capable of having a current sharing temperature, Tcs, of around 39 and 20 K when operated under 10.85 T with a current of 40 and 80 kA, respectively. Scaled to a 20-T peak field and 46.5-kA transport current, this provides a temperature margin of over 10 K with respect to an operating temperature of 4.5 K. In addition, no perceptible transport current performance degradation was observed after cyclic Lorentz loading, cyclic warm-up/cool-down (WUCD), and quench campaigns. The proposed REBCO CICC is a milestone in the development of high-temperature superconductors for large-scale and high-field magnet applications.</p

    Optimizing Memory Access Patterns through Automatic Data Layout Transformation (Work in Progress Paper)

    Get PDF
    In many programming languages, memory access patterns exhibited by an application are dictated by the data structures defined by the programmer, which, in turn, dictate how the data are ordered in memory. Exploring access pattern optimizations is essential for performance: we demonstrate, through several benchmarks, the effects of Array of Structures (AoS) and Structure of Arrays (SoA) layouts on cache utilization, auto-vectorization, and false sharing. Despite these benefits, exploration remains a time-consuming task because it requires rewriting data structure definitions and, very often, computing kernel code to accommodate these changes. We argue that such changes could and should be automated. In this work, we propose the design of a C++ framework for automatically redefining data structures to modify the data layout and access patterns. Leveraging experimental C++26 reflection and token injection features, we can modify the structure while preserving the original C++ syntax for accessing data. Our framework enables rapid prototyping of access pattern optimizations, potentially unlocking significant performance gains.</p

    Reporting fraud victimization to the police:factors that affect whether victims report

    Get PDF
    Fraud against individuals is a growing problem with a major impact on victims and society. For victims, the police are an important actor to turn to. The police can provide help and police reports are a crucial source of information in the fight against fraud. However, victims often do not report to the police. The current study aims to uncover why victims do (not) report to the police. A sample was drawn from a state-of-the-art population panel, comprising 608 fraud victimization events. We modeled the decision to report using 1) fraud characteristics, including severity (amount of money lost, impact on life), self-blame, the event being offline/online, and victims’ relation to the offender, and 2) victim characteristics, including demographic variables, internet use, trust in the police, Big Five personality traits, appreciation of national security, self-control, optimism, and loneliness. Results indicate that only 11.8% of victims report to the police and that only two concepts were consistently related to police reporting: 1) fraud severity, as more impactful crimes were reported more often, and 2) urbanization, as citizens from urbanized areas reported significantly less often. We discuss the implications of our findings and offer recommendations for policymakers.</p

    85,874

    full texts

    154,092

    metadata records
    Updated in last 30 days.
    Universiteit Twente Repository is based in Netherlands
    Access Repository Dashboard
    Do you manage Universiteit Twente Repository? Access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard!