5,122 research outputs found

    Event-Cloud Platform to Support Decision- Making in Emergency Management

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    The challenge of this paper is to underline the capability of an Event-Cloud Platform to support efficiently an emergency situation. We chose to focus on a nuclear crisis use case. The proposed approach consists in modeling the business processes of crisis response on the one hand, and in supporting the orchestration and execution of these processes by using an Event-Cloud Platform on the other hand. This paper shows how the use of Event-Cloud techniques can support crisis management stakeholders by automatizing non-value added tasks and by directing decision- makers on what really requires their capabilities of choice. If Event-Cloud technology is a very interesting and topical subject, very few research works have considered this to improve emergency management. This paper tries to fill this gap by considering and applying these technologies on a nuclear crisis use-case

    One-operator two-machine flow shop scheduling with setup times for machines and total completion time objective

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    In a manufacturing environment, when a worker or a machine switches from one type of operation to another, a setup time may be required. I propose a scheduling model with one operator and two machines. In this problem, a single operator completes a set of jobs requiring operations in a two-machine flow shop. The operator can perform only one operation at a time. When one machine is in use, the other is idle. Whenever the operator changes machine, a setup time is required. We consider the objective of total completion time. I formulate the problem as a linear integer programming with \u27 O\u27(\u27n\u273) 0-1 variables and \u27 O\u27(\u27n\u272) constraints. I also introduce some classes of valid inequalities. To obtain the exact solutions, Branch-and-Bound, Cut-and-Branch, Branch-and-Cut algorithms are used. For larger size problems, some heuristic procedures are proposed and the computational results are compared

    Microstructural effects on the mechanical properties of carburized low-alloy steels

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    This study examined the effects of composition and initial microstructure on the physical, metallurgical, and mechanical properties of carburized SAE 8620 and PS-18 steels. Testing was performed on 8620 and PS-18 steels in the as-received and normalized conditions. Hardenability testing was conducted prior to additional heat treatments. Size and shape distortion, residual stress, retained austenite, and effective case depth measurements were obtained for specimens subjected to a carburizing heat treatment. Specimens subjected to a core thermal cycle heat treatment were tested to determine the tensile and Charpy impact properties of the core material of carburized components. Despite differences between the as-received and normalized materials prior to carburizing, testing revealed that normalizing did not have a significant effect on the properties of the carburized or core thermal cycle heat treated materials. PS-18 had a higher hardenability, effective case depth, and ultimate tensile strength and a lowerCharpy impact toughness than 8620

    Using sensor ontologies to create reasoning-ready sensor data for real-time hazard monitoring in a spatial decision support system

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    In order to protect at-risk communities and critical infrastructure, hazard managers use sensor networks to monitor the landscapes and phenomena associated with potential hazards. This strategy can produce large amounts of data, but when investigating an often unstructured problem such as hazard detection it can be beneficial to apply automated analysis routines and artificial intelligence techniques such as reasoning. Current sensor web infrastructure, however, is not designed to support this information-centric monitoring perspective. A generalized methodology to transform typical sensor data representations into a form that enables these analysis techniques has been created and is demonstrated through an implementation that bridges geospatial standards for sensor data and descriptions with an ontology-based monitoring environment. An ontology that describes sensors and measurements so they may be understood by an SDSS has also been developed. These tools have been integrated into a monitoring environment, allowing the hazard manager to thoroughly investigate potential hazards

    Mechanisms Driving Digital New Venture Creation & Performance: An Insider Action Research Study of Pure Digital Entrepreneurship in EdTech

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    Digitisation has ushered in a new era of value creation where cross border data flows generate more economic value than traditional flows of goods. The powerful new combination of digital and traditional forms of innovation has seen several new industries branded with a ‘tech’ suffix. In the education technology sector (EdTech), which is the industry context of this research, digitisation is driving double-digit growth into a projected $240 billion industry by 2021. Yet, despite its contemporary significance, the field of entrepreneurship has paid little attention to the phenomenon of digital entrepreneurship. As several scholars observe, digitisation challenges core organising axioms of entrepreneurship, with significant implications for the new venture creation process in new sectors such as EdTech. New venture creation no longer appears to follow discrete and linear models of innovation, as spatial and temporal boundaries get compressed. Given the paradigmatic shift, this study investigates three interrelated themes. Firstly, it seeks to determine how a Pure Digital Entrepreneurship (PDE) process develops over time; and more importantly, how the journey challenges extant assumptions of the entrepreneurial process. Secondly, it strives to identify and theorise the deep structures which underlie the PDE process through mechanism-based explanations. Consequently, the study also seeks to determine the causal pathways and enablers which overtly or covertly interrelate to power new venture emergence and performance. Thirdly, it aims to offer practical guidelines for nurturing the growth of PDE ventures, and for the development of supportive ecosystems. To meet the stated objectives, this study utilises an Insider Action Research (IAR) approach to inquiry, which incorporates reflective practice, collaborative inquiry and design research for third-person knowledge production. This three-pronged approach to inquiry allows for the enactment of a PDE journey in real-time, while acquiring a holistic narrative in the ‘swampy lowlands’ of new venture creation. The findings indicate that the PDE process is differentiated by the centrality of digital artifacts in new venture ideas, which in turn result in less-bounded processes that deliver temporal efficiencies – hence, the shorter new venture creation processes than in traditional forms of entrepreneurship. Further, PDE action is defined by two interrelated events – digital product development and digital growth marketing. These events are characterised by the constant forking, merging and termination of diverse activities. Secondly, concurrent enactment and piecemeal co-creation were found to be consequential mechanisms driving temporal efficiencies in digital product development. Meanwhile, data-driven operation and flexibility combine in digital growth marketing, to form higher order mechanisms which considerably reduce the levels of task-specific and outcome uncertainties. Finally, the study finds that digital growth marketing is differentiated from traditional marketing by the critical role of algorithmic agencies in their capacity as gatekeepers. Thus, unlike traditional marketing, which emphasises customer sovereignty, digital growth marketing involves a dual focus on the needs of human and algorithmic stakeholders. Based on the findings, this research develops a pragmatic model of pure digital new venture creation and suggests critical policy guidelines for nurturing the growth of PDE ventures and ecosystems

    Sampo-UI: A Full Stack JavaScript Framework for Developing Semantic Portal User Interfaces

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    This paper presents a new software framework, SAMPO-UI, for developing user interfaces for semantic portals. The goal is to provide the end-user with multiple application perspectives to Linked Data knowledge graphs, and a two-step usage cycle based on faceted search combined with ready-to-use tooling for data analysis. For the software developer, the SAMPO-UI framework makes it possible to create highly customizable, user-friendly, and responsive user interfaces using current state-of-the-art JavaScript libraries and data from SPARQL endpoints, while saving substantial coding effort. SAMPO-UI is published on GitHub under the open MIT License and has been utilized in several internal and external projects. The framework has been used thus far in creating six published and five forth-coming portals, mostly related to the Cultural Heritage domain, that have had tens of thousands of end-users on the Web.Peer reviewe

    A web-based GML to stRDF / GeoSPARQL conversion tool

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    Ο κύριος στόχος αυτής της διπλωματικής εργασίας είναι η ανάπτυξη ενός εύχρηστου διαδικτυακού εργαλείου για μετατροπές GML αρχείων σε stRDF / GeoSPARQL. Στη εργασία θα αναφερθούμε στα ανοικτά και διασυνδεδεμένα ανοικτά δεδομένα, τα εργαλεία τα οποία είναι διαθέσιμα στους επιστήμονες δεδομένων για την εκμετάλλευση διαθέσιμων διασυνδεδεμένων δεδομένων και ειδικότερα γεοχωρικών διασυνδεδεμένων δεδομένων. Επιπλέον θα παρουσιαστούν οι λόγοι για τους οποίους είναι απαραίτητη η δημιουργία ενός νέου εργαλείου που θα μετατρέπει GML δεδομένα σε RDF. Εργαλεία που πραγματοποιούν αντίστοιχες μετατροπές υπάρχουν ήδη, αλλά στις περισσότερες περιπτώσεις είτε δεν ακολουθούν τα πρότυπα ή δε προσφέρουν δυνατότητες επέκτασης τους. Θα εξηγηθούν οι σχεδιαστικές επιλογές βάσει των απαιτήσεων και των περιορισμών που υπάρχουν. Επίσης θα παρουσιαστεί η αρχιτεκτονική του εργαλείου και ο τρόπος που υλοποιήθηκε χρησιμοποιώντας τις πιο σύγχρονες τεχνολογίες. Στο τέλος θα παρουσιαστούν τα οφέλη από τη χρήση του εργαλείου μέσα από τη χρήση του σε εφαρμογές του πραγματικού κόσμου.The main goal of this master’s thesis is the development of a user-friendly web based tool for GML to stRDF / GeoSPARQL transformations. In this thesis we will talk about open and linked open data, the tools that are available to data scientists for the exploitation of the available linked data and especially geospatial linked data. Furthermore we will present the motivation for the development of a new tool that is able to transform GML data into RDF. Tools performing similar transformation already exist but in most cases either they do not follow the standards or offer no integration - extension capabilities. The design decisions will be explained based on the requirements and limitations of the project. The system architecture of the tool will be presented and also the way it was implemented using the latest technologies. Finally the benefits from its use will be demonstrated by its evaluation in real-world applications

    NEGOTIATING THE SACRED: UNDERSTANDING IMPACTS TO IKS AND ITEK FROM USE OF REMOTE SENSING AND GIS TECHNOLOGIES WITHIN TRIBAL LANDSCAPES

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    How we see the world and ourselves in relation to it is largely achieved by the lens we are looking through and associated experiences within this relationship. This is additionally true when considering the acknowledged fact that Indigenous Knowledges are derived from natural and cultural sources and these assist in constituting the cultural identities of those Peoples associated with these sources. Presently there is a hunger for access and use of Indigenous Knowledges (IK) as never before seen in public ways, through a national Call for collaborative means to apply these knowledges to such as the issues we globally face as a result of Climate Change. What are Indigenous Knowledges? How are they created? Who holds these and can utilize them in public ways? These questions are an embedded aspect of this Call that requires attention. Further, what impacts exist that benefit, but also challenge, the endeavor to utilize Indigenous Knowledges outside local areas where they are derived? What of these sacred ways of knowing are being negotiated to attain their use? Five areas of concern were identified in response to these questions through application of An Indigenous Research Way (AIRW), a novel continuous improvement model for implementing Indigenous Research Methodologies and Methods, within research design and practice. Synthesizing these concerns into three themes, Education, Technology, and Tribal Leader Decision-Making, awareness was revealed of these as first level and gateway impacts. Indigenous ways of knowing, being, and doing operationalizes Indigenous worldviews about relationality and this as central to how Indigenous Knowledges Systems (IKS) are created and in turn create Indigenous Traditional Ecological Knowledges (ITEK). Understanding how we “see” ourselves in relation to this process is imperative. A burgeoning method for seeing landscapes, and they as sources of IK, is through use of remote sensing and Geographical Information Systems (GIS). This Phase I study, through a Kin-based Case Study and mixed-methods approach, sought to understand impacts to IKS and ITEK from use of these technologies within tribal landscapes through review and assessment of 73 ESRI tribal GIS public StoryMap projects, led by tribal practitioners, accomplished in 2017 - 2021. Assessment provides there exists an assumption that identifying as being Indigenous includes being a holder of cultural knowledges and that these are utilized at will and regularly. The data troubles this assumption with respect to tribal individuals trained as practitioners of these technologies and their use of ITEK then provided through public digital media. Impacts to IKS and ITEK reveal enhancements and also replacement of the “seeing” accomplished by Indigenous People through technological means and the public perceptions of their cultural lifeways and persona of being Holders of Indigenous Knowledges. These impacts are broad in their implications as they attend to not only understandings of past and present access to ITEK but also future applications that brings the conversation into the realms of understanding being Indigenous off-earth

    En busca de un horizonte común para la Biblioteca digital de arqueología náutica (NADL). Reflexiones sobre ciencia, método, teoría y plantillas

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    [EN] Data sharing is a fundamental process for the advancement of both natural and social sciences. Starting from the idea that computers and the internet have drastically changed the world in the last decades, this paper advocates for the creation of a space where archaeologists from around the world can share information about maritime history and exchange data with colleagues. Following the principles of open access, we argue that raw data publication is necessary and significant for the development and democratization of the discipline. This study explains the fundamental aspects of the Nautical Archaeology Digital Library (NADL) and its efforts to standardize information collection for shipwrecks and related sites, so that scholars can create a community to disseminate both raw data and complete information in the field of maritime archaeology. To achieve this, our purpose is to facilitate the development of common-ground methodology and terminology that promotes an intelligible dialogue within the global community of nautical archaeologists. This paper addresses some considerations on terminology and systematization in scientific disciplines and discusses the theoretical and methodological issues linked to the process of making a template for recording shipwrecks. Furthermore, this article analyses some of the problems related to the standardization of description processes and the necessity to create a flexible system that accounts for data diversity. The third section discusses how science is greatly enhanced by publishing information in open access platforms.Highlights:Standardization of data allows robust comparative and inter-subjective analysis of coastal and maritime projects, shipwrecks and nautical technology.Research is strongly benefited by sharing information underlying publications and raw data generated within a project in open source platforms.Digital databases such as NADL enhance cooperative research, as well as teaching and outreach strategies.[ES] Compartir información es un proceso fundamental para el desarrollo de las ciencias naturales y sociales. Partiendo de la idea de que las computadoras e Internet han cambiado drásticamente el mundo en las últimas décadas, este trabajo aboga por la creación de un espacio en el que arqueólogos de alrededor del mundo puedan compartir información sobre historia marítima e intercambiar datos con otros colegas. Siguiendo los principios del libre acceso, sostenemos que la publicación de datos en bruto es necesaria y significativa para el desarrollo y democratización de la disciplina. Este artículo explica los fundamentos de la Biblioteca Digital de Arqueología Náutica (NADL: https://nadl.tamu.edu/) y sus esfuerzos por estandarizar el registro de la información sobre naufragios y sitios relacionados, para que los investigadores puedan crear una comunidad de divulgación, tanto de datos primarios como de información completa en el campo de la arqueología marítima. Para lograrlo, nuestro propósito es contribuir al desarrollo de una metodología y terminología común que promueva un diálogo inteligible entre la comunidad global de arqueólogos náuticos. En este artículo presentamos algunas consideraciones sobre la terminología y la sistematización en las disciplinas científicas y discutimos los problemas teóricos y metodológicos vinculados al proceso de creación de una plantilla para el registro de naufragios. Además, reflexionamos sobre algunos de los problemas relacionados con la estandarización de los procesos descriptivos y la necesidad de crear un sistema flexible que refleje la diversidad de los datos. Finalmente, discutimos cómo la ciencia se ve enormemente favorecida por la publicación de información en plataformas de libre acceso.This paper is a result of a T3 Texas A&M University grant. We want to thank the NADL community for their input. This paper is based on extensive discussions among the community. 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