32,396 research outputs found

    Un r├şo de nombres: La invenci├│n hidrogr├ífica y cartogr├ífica del Amazonas, 1498- 1640

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    Este tesis examina la configuraci├│n del conocimiento cartogr├ífico e hidrogr├ífico del r├şo que hoy conocemos como "Amazonas" entre 1498 y 1640. Durante este per├şodo fundacional el r├şo encarn├│ m├║ltiples identidades y nomenclaturasÔÇöMar Dulce, R├şo Grande, Mara├▒├│n, Orellana y, eventualmente, Amazonas. Este estudio plantea que esta ambivalencia fundacional de la Amazon├şa fue el resultado del uso de diferentes convenciones espaciales para la definici├│n cartogr├ífica e hidrogr├ífica de los r├şos en un contexto de disputa imperial entre agentes de Espa├▒a, Portugal, Francia e Inglaterra por la colonizaci├│n de los tr├│picos sudamericanos, lo que result├│ en la imposibilidad de nombrar un ├║nico ÔÇťAmazonasÔÇŁ durante el largo siglo XVI. Por ello, esta tesis sostiene que la cartograf├şa y la hidrograf├şa funcionaron no solo como instrumentos de conocimiento y representaci├│n de la naturaleza sino tambi├ęn como herramientas para colonizar el interior amaz├│nico del Nuevo Mundo.This thesis examines the configuration of the cartographic and hydrographic knowledge of the river that we now know as "Amazonas" between 1498 and 1640. During this foundational period the river embodied multiple identities and nomenclatures ÔÇö Mar Dulce, R├şo Grande, Mara├▒├│n, Orellana and, eventually, Amazonas. This study proposes that this foundational ambivalence of the Amazon was the result of the use of different spatial conventions for the cartographic and hydrographic definition of rivers in a context of imperial dispute between agents of Spain, Portugal, France, and England for the colonization of the South American tropics, which resulted in the impossibility of naming a single normative "Amazon" during the long 16th century. Therefore, this thesis maintains that cartography and hydrography functioned not only as instruments of knowledge and representation of nature, but also as tools to colonize the Amazonian interior of the New World

    Antidualisms in maker literacies research: process, materialities, mappings

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    This article returns to the centrality of craft-making as a push to consider ontological antidualisms and further considerations for materials, humans, nonhuman, and more-than-human bodies. The research seeks answers to the question: (where) is theory enacted when human actors craft? Part of the answer to this question resides, as exemplified in this paper, in recent methodological innovations that emphasise affective snapshots of mattering through cartography. Building on a one-year study with seasoned teachers taking a graduate studies course on maker literacies in Halifax, Nova Scotia, the author presents alternative methodologies for inquiry in maker research, speaking to relational mattering. Insights into antidualisms, and breaking with binary thinking, are explored throughout this inquiry.Le pr├ęsent article porte sur le r├┤le de la fabrication mat├ęrielle, immanente au mouvement bricoleur, comme tremplin ├á des questions dÔÇÖordre ontologique. Ces derni├Ęres mettent en lumi├Ęre la notion dÔÇÖantidualisme pour envisager les fonctions des mat├ęriaux, des humains, des non-humains, et des corps plus quÔÇÖhumains. Pour ce faire, nous r├ęfl├ęchissons ├á lÔÇÖenjeu suivant┬á: (o├╣) la th├ęorie se concr├ętise-t-elle lorsque les acteurs humains sÔÇÖadonnent ├á la fabrication mat├ęrielle┬á? Cette ├ętude sÔÇÖappuie sur des donn├ęes recueillies aupr├Ęs dÔÇÖenseignants inscrits ├á un cours sur le mouvement bricoleur du deuxi├Ęme cycle en litt├ęratie ├á Halifax en Nouvelle-├ëcosse, et propose des pistes de m├ęthodologies innovantes qui mettent en lumi├Ęre des moments mat├ęrio-discursifs gr├óce ├á des cartographies affectives. Une approche m├ęthodologique novatrice ax├ęe sur la relationalit├ę im/mat├ęrielle y est propos├ęe en vue dÔÇÖeffectuer de futures recherches sur le mouvement bricoleur. Cette ├ętude offre un aper├žu dÔÇÖune m├ęthodologie antidualiste dissidente de la pens├ęe binaire en sciences de lÔÇÖ├ęducation

    Assessment Protocol to Evaluate the Degree of Conservation of Habitats of Community Interest: A Case Study for the 5220* HCI in the Westernmost Localities of Europe

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    The westernmost European nucleus of the 5220* Habitat of Community Interest (HCI) is located in the province of M├ílaga (Andalusia). In this area, the 5220* HCI is characterized by the presence of scrublands of Gymnosporia senegalensis subsp. europaea. This is a relict species in Europe, with inhabits only in the southeast of the Iberian Peninsula. The westernmost Iberian nuclei of the 5220* HCI are constituted by three isolated nuclei (M├ílagaÔÇôRinc├│n de la Victoria; Torremolinos; and Pizarra). These nuclei have been only partially mapped. The objectives were: to map the 5220* HCI characterized by G. senegalensis subsp. europaea in detail; to evaluate its degree of conservation (DC); and to identify the chronosequences of the evolution of this habitat from 1957 to 2021, and its fragmentation. Our results have contributed to generating a 1:10,000 scale cartography of the habitat. In general, the DC obtained was from good to excellent. With an excellent DC value, one inland locality (Pizarra) was highlighted. However, the highest reduction in the value of DC was observed in the localities of Torremolinos and M├ílagaÔÇôRinc├│n de la Victoria which, in addition, have reduced the area of occupancy (AOO) and are fragmented. It is important to note that some areas of M├ílagaÔÇôRinc├│n de la Victoria reached excellent values of DC, indicating the need to carry out protection.This paper was supported by the project CEIJ-006- ÔÇťEvaluaci├│n del estado de conservaci├│n del litoral mediterr├íneo terrestre en el sureste ib├ęrico (M├ílaga-Granada, Espa├▒a) mediante el uso de flora relevante, al├│ctonas invasoras y h├íbitats 92/43UE. Propuesta de gesti├│nÔÇŁ of the Campus of International Global Excellence of the Sea. A. Picornell was supported by a postdoctoral grant financed by the Consejer├şa de Transformaci├│n Econ├│mica, Industria, Conocimiento y Universidades (Junta de Andaluc├şa, POSTDOC_21_00056). This publication has been also funded by the University of Malaga (ÔÇťI Plan Propio de Investigaci├│n, Transferencia y Divulgaci├│n Cient├şfica de la Universidad de M├ílagaÔÇŁ). Partial funding for open access charge: Universidad de M├ílag

    A Visual Modeling Method for Spatiotemporal and Multidimensional Features in Epidemiological Analysis: Applied COVID-19 Aggregated Datasets

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    The visual modeling method enables flexible interactions with rich graphical depictions of data and supports the exploration of the complexities of epidemiological analysis. However, most epidemiology visualizations do not support the combined analysis of objective factors that might influence the transmission situation, resulting in a lack of quantitative and qualitative evidence. To address this issue, we have developed a portrait-based visual modeling method called +msRNAer. This method considers the spatiotemporal features of virus transmission patterns and the multidimensional features of objective risk factors in communities, enabling portrait-based exploration and comparison in epidemiological analysis. We applied +msRNAer to aggregate COVID-19-related datasets in New South Wales, Australia, which combined COVID-19 case number trends, geo-information, intervention events, and expert-supervised risk factors extracted from LGA-based censuses. We perfected the +msRNAer workflow with collaborative views and evaluated its feasibility, effectiveness, and usefulness through one user study and three subject-driven case studies. Positive feedback from experts indicates that +msRNAer provides a general understanding of analyzing comprehension that not only compares relationships between cases in time-varying and risk factors through portraits but also supports navigation in fundamental geographical, timeline, and other factor comparisons. By adopting interactions, experts discovered functional and practical implications for potential patterns of long-standing community factors against the vulnerability faced by the pandemic. Experts confirmed that +msRNAer is expected to deliver visual modeling benefits with spatiotemporal and multidimensional features in other epidemiological analysis scenarios

    Examples of works to practice staccato technique in clarinet instrument

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    Klarnetin staccato tekni─čini g├╝├žlendirme a┼čamalar─▒ eser ├žal─▒┼čmalar─▒yla uygulanm─▒┼čt─▒r. Staccato ge├ži┼člerini h─▒zland─▒racak ritim ve n├╝ans ├žal─▒┼čmalar─▒na yer verilmi┼čtir. ├çal─▒┼čman─▒n en ├Ânemli amac─▒ sadece staccato ├žal─▒┼čmas─▒ de─čil parmak-dilin e┼č zamanl─▒ uyumunun hassasiyeti ├╝zerinde de durulmas─▒d─▒r. Staccato ├žal─▒┼čmalar─▒n─▒ daha verimli hale getirmek i├žin eser ├žal─▒┼čmas─▒n─▒n i├žinde et├╝t ├žal─▒┼čmas─▒na da yer verilmi┼čtir. ├çal─▒┼čmalar─▒n ├╝zerinde titizlikle durulmas─▒ staccato ├žal─▒┼čmas─▒n─▒n ilham verici etkisi ile m├╝zikal kimli─če yeni bir boyut kazand─▒rm─▒┼čt─▒r. Sekiz ├Âzg├╝n eser ├žal─▒┼čmas─▒n─▒n her a┼čamas─▒ anlat─▒lm─▒┼čt─▒r. Her a┼čaman─▒n bir sonraki performans ve tekni─či g├╝├žlendirmesi esas al─▒nm─▒┼čt─▒r. Bu ├žal─▒┼čmada staccato tekni─činin hangi alanlarda kullan─▒ld─▒─č─▒, nas─▒l sonu├žlar elde edildi─či bilgisine yer verilmi┼čtir. Notalar─▒n parmak ve dil uyumu ile nas─▒l ┼čekillenece─či ve nas─▒l bir ├žal─▒┼čma disiplini i├žinde ger├žekle┼čece─či planlanm─▒┼čt─▒r. Kam─▒┼č-nota-diyafram-parmak-dil-n├╝ans ve disiplin kavramlar─▒n─▒n staccato tekni─činde ayr─▒lmaz bir b├╝t├╝n oldu─ču saptanm─▒┼čt─▒r. Ara┼čt─▒rmada literat├╝r taramas─▒ yap─▒larak staccato ile ilgili ├žal─▒┼čmalar taranm─▒┼čt─▒r. Tarama sonucunda klarnet tekni─čin de kullan─▒lan staccato eser ├žal─▒┼čmas─▒n─▒n az oldu─ču tespit edilmi┼čtir. Metot taramas─▒nda da et├╝t ├žal─▒┼čmas─▒n─▒n daha ├žok oldu─ču saptanm─▒┼čt─▒r. B├Âylelikle klarnetin staccato tekni─čini h─▒zland─▒rma ve g├╝├žlendirme ├žal─▒┼čmalar─▒ sunulmu┼čtur. Staccato et├╝t ├žal─▒┼čmalar─▒ yap─▒l─▒rken, araya eser ├žal─▒┼čmas─▒n─▒n girmesi beyni rahatlatt─▒─č─▒ ve isteklili─či daha artt─▒rd─▒─č─▒ g├Âzlemlenmi┼čtir. Staccato ├žal─▒┼čmas─▒n─▒ yaparken do─čru bir kam─▒┼č se├žimi ├╝zerinde de durulmu┼čtur. Staccato tekni─čini do─čru ├žal─▒┼čmak i├žin do─čru bir kam─▒┼č─▒n dil h─▒z─▒n─▒ artt─▒rd─▒─č─▒ saptanm─▒┼čt─▒r. Do─čru bir kam─▒┼č se├žimi kam─▒┼čtan rahat ses ├ž─▒kmas─▒na ba─čl─▒d─▒r. Kam─▒┼č, dil atma g├╝c├╝n├╝ vermiyorsa daha do─čru bir kam─▒┼č se├žiminin yap─▒lmas─▒ gereklili─či vurgulanm─▒┼čt─▒r. Staccato ├žal─▒┼čmalar─▒nda ba┼čtan sona bir eseri yorumlamak zor olabilir. Bu a├ž─▒dan ├žal─▒┼čma, verilen m├╝zikal n├╝anslara uyman─▒n, dil at─▒┼č performans─▒n─▒ rahatlatt─▒─č─▒n─▒ ortaya koymu┼čtur. Gelecek nesillere edinilen bilgi ve birikimlerin aktar─▒lmas─▒ ve geli┼čtirici olmas─▒ te┼čvik edilmi┼čtir. ├ç─▒kacak eserlerin nas─▒l ├ž├Âz├╝lece─či, staccato tekni─činin nas─▒l ├╝stesinden gelinebilece─či anlat─▒lm─▒┼čt─▒r. Staccato tekni─činin daha k─▒sa s├╝rede ├ž├Âz├╝me kavu┼čturulmas─▒ ama├ž edinilmi┼čtir. Parmaklar─▒n yerlerini ├Â─čretti─čimiz kadar belle─čimize de ├žal─▒┼čmalar─▒n kaydedilmesi ├Ânemlidir. G├Âsterilen azmin ve sabr─▒n sonucu olarak ortaya ├ž─▒kan yap─▒t ba┼čar─▒y─▒ daha da yukar─▒ seviyelere ├ž─▒karacakt─▒r

    Procedural Generation of Complex Roundabouts for Autonomous Vehicle Testing

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    High-definition roads are an essential component of realistic driving scenario simulation for autonomous vehicle testing. Roundabouts are one of the key road segments that have not been thoroughly investigated. Based on the geometric constraints of the nearby road structure, this work presents a novel method for procedurally building roundabouts. The suggested method can result in roundabout lanes that are not perfectly circular and resemble real-world roundabouts by allowing approaching roadways to be connected to a roundabout at any angle. One can easily incorporate the roundabout in their HD road generation process or use the standalone roundabouts in scenario-based testing of autonomous driving

    Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

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    The robustness of 3D perception systems under natural corruptions from environments and sensors is pivotal for safety-critical applications. Existing large-scale 3D perception datasets often contain data that are meticulously cleaned. Such configurations, however, cannot reflect the reliability of perception models during the deployment stage. In this work, we present Robo3D, the first comprehensive benchmark heading toward probing the robustness of 3D detectors and segmentors under out-of-distribution scenarios against natural corruptions that occur in real-world environments. Specifically, we consider eight corruption types stemming from adversarial weather conditions, external disturbances, and internal sensor failure. We uncover that, although promising results have been progressively achieved on standard benchmarks, state-of-the-art 3D perception models are at risk of being vulnerable to corruptions. We draw key observations on the use of data representations, augmentation schemes, and training strategies, that could severely affect the model's performance. To pursue better robustness, we propose a density-insensitive training framework along with a simple flexible voxelization strategy to enhance the model resiliency. We hope our benchmark and approach could inspire future research in designing more robust and reliable 3D perception models. Our robustness benchmark suite is publicly available.Comment: 33 pages, 26 figures, 26 tables; code at https://github.com/ldkong1205/Robo3D project page at https://ldkong.com/Robo3

    Self-Supervised Scene Dynamic Recovery from Rolling Shutter Images and Events

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    Scene Dynamic Recovery (SDR) by inverting distorted Rolling Shutter (RS) images to an undistorted high frame-rate Global Shutter (GS) video is a severely ill-posed problem, particularly when prior knowledge about camera/object motions is unavailable. Commonly used artificial assumptions on motion linearity and data-specific characteristics, regarding the temporal dynamics information embedded in the RS scanlines, are prone to producing sub-optimal solutions in real-world scenarios. To address this challenge, we propose an event-based RS2GS framework within a self-supervised learning paradigm that leverages the extremely high temporal resolution of event cameras to provide accurate inter/intra-frame information. % In this paper, we propose to leverage the event camera to provide inter/intra-frame information as the emitted events have an extremely high temporal resolution and learn an event-based RS2GS network within a self-supervised learning framework, where real-world events and RS images can be exploited to alleviate the performance degradation caused by the domain gap between the synthesized and real data. Specifically, an Event-based Inter/intra-frame Compensator (E-IC) is proposed to predict the per-pixel dynamic between arbitrary time intervals, including the temporal transition and spatial translation. Exploring connections in terms of RS-RS, RS-GS, and GS-RS, we explicitly formulate mutual constraints with the proposed E-IC, resulting in supervisions without ground-truth GS images. Extensive evaluations over synthetic and real datasets demonstrate that the proposed method achieves state-of-the-art and shows remarkable performance for event-based RS2GS inversion in real-world scenarios. The dataset and code are available at https://w3un.github.io/selfunroll/
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