2,200 research outputs found
Self-archiving practice and the influence of publisher policies in the social sciences
No full textAuthors in different disciplines exhibit very different behaviours on the so-called ‘green’ road to open access, i.e. self-archiving. This study looks at the self-archiving behaviour of authors publishing in leading journals in six social science disciplines. It tests the hypothesis that authors are self-archiving according to the norms of their respective disciplines rather than following self-archiving policies of publishers, and that, as a result, they are self-archiving significant numbers of publisher PDF versions. It finds significant levels of
self-archiving, as well as significant self-archiving of
the publisher PDF version, in all the disciplines
investigated. Publishers’ self-archiving policies have
no influence on author self-archiving practice
A design-based study of data-driven asset management for Storm Surge Barriers: Implementing predictive maintenance, digital twins and realizing data governance for the current asset management at Rijkswaterstaat
No full textRijkswaterstaat’s Storm Surge Barriers are expensive assets providing economic value with the expectation of future returns. The maintenance is executed by the asset management department, which aims at maximizing operability without sacrificing safety and reliability. However, regular maintenance becomes more stringent as circumstances change, and a budget shortfall is expected in the same timeframe. These operational and economical interferences urge the asset management department to adapt using more data-driven approaches replacing (some) physical inspections and only conducting maintenance when needed. This so-called data-driven asset management has the potential to reduce costs and ensure reliability. Despite the promise, there is no guidance for developing data-driven asset management. In this thesis, design principles are developed to assist in better decision-making using data-driven technologies, resulting in effective maintenance. These new design principles integrate three different areas into the current asset management: Digital Twins (DT), providing a virtual environment for safely testing in various scenarios, Predictive Maintenance (PdM) for confidently predicting a future asset failure and Data Governance (DG), ensuring the data quality for appropriate decision-making for the mentioned data-driven technologies. In other words, the goal of this research is to develop design principles that overcome real-world asset data-related problems during the implementation of DT, PdM and DG within the asset management context.The qualitative design-based research methodology consists of the following steps: Identifying real-world problems, developing appropriate solutions, and then finalizing by prescribing actionable sentences, also known as design principles. This research design was demonstrated in a real-life case for the Storm Surge Barriers asset class at Rijkswaterstaat (RWS). Two data-collecting research methods were utilized. The first data collecting method was the literature study, which acquired information from 25+ scientific papers from three developing fields in the scientific literature: PdM, DT and DG. The second was a series of semi-structured interviews held with 33 RWS interviewees in different parts of the organization, collecting real-life asset data problems and the associated best practices. To guide the interviews across the data-driven developments and the current status of data governance within RWS, an interview protocol was constructed. The interviews results revealed contrasting views on (1) the SSB openness to new technology, (2) the alignment between asset management priorities and the data-driven technology, and (3) data access by third parties. These contrasting viewpoints unknowingly construct invisible (almost) impermeable walls between different layers in the RWS organization, which prevents knowledge spillovers, resulting in departments maturing at different rates and impeding the understanding and communication between them. As part of the research design, four types of design principles were formulated. The first was the interview-derived design principles. The second type was the literature derived design principles acquired by the results from the literature study. After that, the interview and the literature-derived principles were combined into 'the refined design principles’. The last type is the data governance design principles, for which the problems were inspired by semi-structured interviews and are solely solved by the current data governance literature. Thereafter, the refined and data governance design principles were tested within the context of the DT and the PdM by using data flow diagrams. The benefit of using the data flow diagrams is to test if the selected design principles improve the practices of asset management. Consequently, 33 design principles were developed across the four types of design principles that prescribe guidance on how PdM, DT and DG contribute to developing data-driven asset management. From these, 4 were data governance design principles, and 12 were refined design principles. The refined design principles were not found in prior literature and could be further grouped into short-term and long-term relevance for asset management.The novelty that these refined design principles bring is twofold, filling in two gaps in the literature. Firstly, It brings clear guidelines which were previously scattered and unclearly presented across the scientific literature. Secondly, these design principles are approached in a novel manner by combining the core insights from the literature and the inclusion of empirical best practices in a real-life case. The results of implementing the relevant data governance and refined design principles into the AM are twofold. Firstly, the DeP’s enhanced the DT from primarily visualization into a more multifunctional usable digital asset for various asset management purposes. Secondly, implementing the same set of principles enhanced the PdM by including the most important factors to produce reliable automatic predictions to better manage the maintenance schedule.The managerial recommendation is that the digital twins and predictive maintenance development need to develop hand in hand with data governance aspects and utilize a system to centralize the knowledge across all storm surge barriers, like periodic communities of practices. A lack of these two crucial developments will inhibit RWS long-term vision of transitioning from a pure civil organization to a hybrid organization: A synergy between civil engineering discipline and data-driven technologies.Management of Technology (MoT
Digital twin application in heritage facilities management: systematic literature review and future development directions
No full textThis paper aims to investigate the theoretical and practical links between digital twin (DT) application in heritage facilities management (HFM) from a life cycle management perspective and to signpost the future development directions of DT in HFM.This state-of-the-art review was conducted using a systematic literature review method. Inclusive and exclusive criteria were identified and used to retrieve relevant literature from renowned literature databases. Shortlisted publications were analysed using the VOSviewer software and then critically reviewed to reveal the status quo of research in the subject area.The review results show that DT has been mainly adopted to support decision-making on conservation approach and method selection, performance monitoring and prediction, maintenance strategies design and development, and energy evaluation and management. Although many researchers attempted to develop DT models for part of a heritage building at component or system level and test the models using real-life cases, their works were constrained by availability of empirical data. Furthermore, data capture approaches, data acquisition methods and modelling with multi-source data are found to be the existing challenges of DT application in HFM.In a broader sense, this study contributes to the field of engineering, construction and architectural management by providing an overview of how DT has been applied to support management activities throughout the building life cycle. For the HFM practice, a DT-cum-heritage building information modelling (HBIM) framework was developed to illustrate how DT can be integrated with HBIM to facilitate future DT application in HFM. The overall implication of this study is that it reveals the potential of heritage DT in facilitating HFM in the urban development context.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Design & Construction Managemen
Managing HKU author reputations, enhancing HKU's reputation
No full textThe HKU "Knowledge Exchange" initiative has launched many separate projects that aim to make HKU researchers and their research highly visible. One of these projects is the creation of HKU ResearcherPages in HKU's institutional repository, that highlight the research and achievements of each professoriate staff at HKU, including their authored publications which are freely available in open access. These pages show download counts of these publications, and paper and citations metrics from Scopus and Thomson Reuter's ResearcherID These pages also allow the HKU author to manage, control, and take charge of how his or her digital presence, or reputation, is shown to the world. Newly aware of their digital presence, HKU authors now have the incentive and tools to correct errors, add missing publications, and otherwise burnish their reputation as shown in these HKU ResearcherPages, Scopus, and ResearcherID. The renown of their sponsoring university correspondingly shines brighter; as HKU paper and citation counts are positively amended, offers of contract research and research collaboration increase, and, invitations to speak and consult, appear as if by.., magic.published_or_final_versionThe World 100 Conference: Managing University Reputation in a Competitive World, Hong Kong, 22-23 June 2010
Relationships' sustainability: the case of German wheat-to-bread chain
No full textIn recent years there has been a shift in emphasis from transaction-based to more co-operative relationships, as chain members have recognised the need to invest in their supply chain relationships in order to protect their businesses. These non-arm’s-length relationships are capable of generating relational rents for chain partners. The main aim of this paper is to investigate why, in spite of the advantages of the non-arm’s-length relationships, some relationships do not continue. To enhance the understanding of the termination process, we identify and analyse the factors inducing relationship sustainability (continuation) as well as termination in the case of the German wheat-to-bread chain. The study built on the findings of relationship marketing approach that stresses the importance of building longer-term relationships with customers rather than carrying out individual transactions. In addition, the findings of modern microeconomic theories including transaction costs theory and industrial theory are taken into consideration. The empirical analysis is based on two data sets: First, a quantitative questionnaire survey and second, interviews with stakeholders of the wheat-to-bread chain were conducted, aiming at identifying the role of economic and behavioral dimensions of relationships for their termination. The questionnaire survey provides that businesses assess the relationships in the wheat-to-bread chain, being of high quality and long term duration. The results show that trust, satisfaction and commitment - the behavioural dimensions of relationships quality - are very high in the considered chain. Competitive price, competitive quality and supply continuity were identified as determinants mostly important for buyers’ satisfaction as directly influencing relationships’ performance. In addition, the results demonstrate that lack of trust is the reason why relationships do not develop or are terminated in the early phases of the relationship. In the long lasting relationships on the other hand, the reasons for termination are mostly of economic nature. The paper shows why sustainable relationships may enhance business’ competitiveness and analyses why in spite of it the relationships terminate. As the result of the research we understand the sustainable relationships as those relationships in that the costs for starting the relationship are exceeded by returns gained from the cooperation in time.economic relationships, sustainability, termination, Agribusiness,
Investigation of Mihp Codes over Free Space Optical Communication
No full textBreast cancer has become the greatest frequent cancer among worldwide. Machine learning techniques contribute much to cancer prognosis. The prime focus of the work is to enhance the prognosis of breast cancer at an earlier stage using an ensemble of machine learning classifiers. Next generation genetic sequences of homo sapiens, BRCA1 and BRCA2 from National Centre for Biotechnology Information were derived for prediction of breast cancer. The proposed ensembled classifiers by hard voting and soft voting, combined models like Decision Tree technique, SVM algorithm, LR statistical model, Linear Discriminant analysis model, Naive Bayes classifier and k-nearest neighbours’ algorithm. Five ensembled models from 6 machine learning classifiers were concatenated for the prediction purpose. Classification accuracy of ensemble hard voting and soft voting classifiers were evaluated statistically. Soft voting classifier for model 1(DT & SVM) and model 2(DT, SVM &LR) achieved greatest value for classification performance metrics. Among all ensembled models, model 1 as well as model 2 achieved maximum classification precision of 94%. 
Improvement of personnel assessment methods in company "DT Mobile"
No full textBakalaura darbā „Personāla novērtēšanas metožu pilnveidošana uzņēmumā „DT Mobile” autors pēta un izstrādā savus priekšlikumus personāla novērtēšanas metožu pilnveidošanai. Uzņēmums ir noteicis jaunus mērķus klientu apkalpošanas līmeņa paaugstināšanai, līdz ar to ir nepieciešams izstrādāt atbilstošas izmaiņas līdzšinējās novērtēšanas metodēs.
Bakalaura darbs veido 3 nodaļas. Pirmajā daļā ir apskatītas personāla novērtēšanas veidi un to definīcijas, mērķi un tiek aprakstītas personāla darbības novērtēšanā izmantojamas metodes, un pielietošanas iespējas, kā arī to trūkumi. Darba otrajā un trešajā nodaļā tiek izpētīta uzņēmumā esošās personāla novērtēšanas sistēmas un analizēti novērtēšanas rādītāji un problēmas novērtēšanas sistēmās. Noslēgumā autors ir apkopojis secinājumus un izstrādājis savus priekšlikumus personāla novērtēšanas metožu pilnveidošanai uzņēmumā „DT Mobile”.
Bakalaura darba apjoms ir 64 lapas, tajās izvietotas 3 nodaļas un 16 attēli, pievienoti 2 pielikumi.In the thesis work “Improvement of personnel assessment methods in company “DT Mobile” the author explores and develops proposals for personnel assessment methods improvement. The company has set the new goals for increasing the level of customer service, so it is necessary to develop appropriate changes in current assessment methods.
The thesis consists of three chapters. The first chapter examines personnel assessment methods and definitions, goals and describes uses and weaknesses. The second and third chapter examines the existing personnel assessment methods and analyzes the evaluation indicators and problems of appraisal systems. In conclusion, the author has summarized the conclusions and proposals for development of personnel assessment methods in company “DT Mobile”.
The thesis work consists of 64 pages, three chapters, 16 images, has been added two attachments
Fourier transform infrared spectroscopic study of intercalation of ethidium bromide in calf thymus DNA and poly(da dt), 1992
No full textAn 8 mole (base pair)/liter aqueous solution of DNA, and a 4 mmole (base pair) aqueous solution of Poly(dA dT) were prepared for the study of the physical mechanism of complexation with an ethidium bromide solution. A 4 mmole ethidium bromide solution was added to a 1 mL DNA solution in lOO/uL increments and was analyzed via Fourier Transform Infrared (FT IR) Spectroscopy. An infrared spectrum of the mixture after each incremental addition was obtained. The ratios of the ethidium bromide to DNA base pairs for the resulting solutions were as follows: 1/20, 1/10, 1/6.7, 1/5, 1/3.3, 1/2.9, 1/2.5, 1/2.2, and 1/2. The resulting infrared spectra of these solutions indicated that the interaction of ethidium bromide with DNA in aqueous media exhibits two different modes at different relative concentrations of DNA and ethidium bromide. The first type of interaction which is most prominent for the lower ratio mixtures (< 1/5) is intercalation. This interaction is characterized by a shift (Acm1) in the phosphate bands of DNA. The second type of interaction is groove binding of the ethidium bromide to DNA which is indicated by the growth of a new feature at 1260 wavenumber (cm1). A 2 mmole ethidium bromide solution was utilized for the preparation of Poly(dA dT)/ethidium bromide solutions resulting in solutions with the same ratios of ethidium bromide to Poly(dA dT) as those for the ethidium to DNA solutions. The spectra of the Poly(dA dT) solutions showed the shifting of the phosphate infrared bands just as the DNA complexes, but there was distinct splitting of the 1214 cm'1 band and the 1050 cm1. This splitting is due to the two different phosphate environments and phosphodiester environments of dA and dT
On Learning Discrete-Time Fractional-Order Dynamical Systems
No full textDiscrete-time fractional-order dynamical systems (DT-FODS) have found innumerable applications in the context of modeling spatiotemporal behaviors associated with long-term memory. Applications include neurophysiological signals such as electroencephalogram (EEG) and electrocorticogram (ECoG). Although learning the spatiotemporal parameters of DT-FODS is not a new problem, when dealing with neurophysiological signals we need to guarantee performance standards. Therefore, we need to understand the trade-offs between sample complexity and estimation accuracy of the system parameters. Simply speaking, we need to address the question of how many measurements we need to collect to identify the system parameters up to an uncertainty level. In this paper, we address the problem of identifying the spatial and temporal parameters of DT-FODS. The main result is the first result on non-asymptotic finite-sample complexity guarantees of identifying DT-FODS. Finally, we provide evidence of the efficacy of our method in the context of forecasting real-life intracranial EEG time series collected from patients undergoing epileptic seizures.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Team Sergio Pequit
Digital Twin of the Mooring Line Tension for Floating Offshore Wind Turbines
No full textThe number of installed Floating Offshore Wind Turbines (FOWTs) has doubled since 2017, quadrupling the total installed capacity, and is expected to increase significantly over the next decade. Consequently, there is a growing consideration towards the main challenges for FOWT projects: monitoring the system's integrity, extending the lifespan of the components, and maintaining FOWTs safely at scale. Effectively and efficiently addressing these challenges would unlock the wide-scale deployment of FOWTs. In this work, we focus on one of the most critical components of the FOWTs, the Mooring Lines (MoLs), which are responsible for fixing the structure to the seabed. The primary mechanical failure mechanisms in MoLs are extreme load and fatigue, both of which are functions of the axial tension. An effective solution to detect long term drifts in the mechanical response of the MoLs is to develop a Digital Twin (DT) able to accurately predict the behaviour of the healthy system to compare with the actual one. Authors will leverage operational data collected from the world's first commercial floating wind farm (Hywind Pilot Park1) in 2018, to investigate the effectiveness of the DT for the prediction of the MoL axial tension. The DT will be developed using state-of-the-art data-driven methods, and results based on real operational data will support our proposal. Accepted Author ManuscriptShip Design, Production and Operation
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