27,094 research outputs found

    Development of a Web-based land evaluation system and its application to population carrying capacity assessment using .Net technology

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    The multi-disciplinary approach used in this study combines the state-of-the-art IT technology with an elaborated land evaluation methodology and results in a Web-based land evaluation system (WLES). The WLES is designed in such a way that the system operates both as a Web Application and as a Web Service. Implemented on top of the .NET platform, the WLES has a loosely coupled multi-layer structure which seamlessly integrates the domain knowledge of land evaluation and the soil database. The Web Service feature makes the WLES suitable to act as a building block of a larger system such as that of the population carrying capacity (PCC) assessment. As a reference application, a framework is made to assess the PCC on the basis of the production potential calculations which are available through the WLES Web Service interface

    New Embedded Representations and Evaluation Protocols for Inferring Transitive Relations

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    Beyond word embeddings, continuous representations of knowledge graph (KG) components, such as entities, types and relations, are widely used for entity mention disambiguation, relation inference and deep question answering. Great strides have been made in modeling general, asymmetric or antisymmetric KG relations using Gaussian, holographic, and complex embeddings. None of these directly enforce transitivity inherent in the is-instance-of and is-subtype-of relations. A recent proposal, called order embedding (OE), demands that the vector representing a subtype elementwise dominates the vector representing a supertype. However, the manner in which such constraints are asserted and evaluated have some limitations. In this short research note, we make three contributions specific to representing and inferring transitive relations. First, we propose and justify a significant improvement to the OE loss objective. Second, we propose a new representation of types as hyper-rectangular regions, that generalize and improve on OE. Third, we show that some current protocols to evaluate transitive relation inference can be misleading, and offer a sound alternative. Rather than use black-box deep learning modules off-the-shelf, we develop our training networks using elementary geometric considerations.Comment: Accepted at SIGIR 201

    A survey of communication protocols for internet of things and related challenges of fog and cloud computing integration

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    The fast increment in the number of IoT (Internet of Things) devices is accelerating the research on new solutions to make cloud services scalable. In this context, the novel concept of fog computing as well as the combined fog-to-cloud computing paradigm is becoming essential to decentralize the cloud, while bringing the services closer to the end-system. This article surveys e application layer communication protocols to fulfill the IoT communication requirements, and their potential for implementation in fog- and cloud-based IoT systems. To this end, the article first briefly presents potential protocol candidates, including request-reply and publish-subscribe protocols. After that, the article surveys these protocols based on their main characteristics, as well as the main performance issues, including latency, energy consumption, and network throughput. These findings are thereafter used to place the protocols in each segment of the system (IoT, fog, cloud), and thus opens up the discussion on their choice, interoperability, and wider system integration. The survey is expected to be useful to system architects and protocol designers when choosing the communication protocols in an integrated IoT-to-fog-to-cloud system architecture.Peer ReviewedPostprint (author's final draft

    TRANSLATING MEDICAL TEXTS FOR LEGAL PURPOSES: A GROWING CHALLENGE FOR COURT TRANSLATORS AND INTERPRETERS

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    Przekład tekstów medycznych obejmuje cały szereg różnego typu tekstów, takich jak wypisy szpitalne, epikryzy, artykuły naukowe w czasopismach medycznych, ulotki informacyjne dla pacjenta (PILs) czy też wskazówki dotyczące stosowania leku (IFU). Wkracza również w sferę zainteresowania zawodowego tłumaczy przysięgłych z racji takich czynników jak np. migracja obywateli lub członkostwo Polski w UE i wynikające z tego procedury implementacji prawa unijnego do polskiego oraz wprowadzania wyrobów medycznych na rynek. Tłumacze przysięgli z konieczności więc mają do czynienia z całym szeregiem tekstów z różnych dziedzin medycyny (oraz dziedzin pokrewnych, takich jak np. farmakologia czy biologia). Trudnością i jednocześnie wyzwaniem dla tłumacza w takiej sytuacji stają się: brak wiedzy medycznej, problemy ze znajomością terminologii medycznej (oraz wszechobecnych skrótów i skrótowców) czy ogólnie pojętego dyskursu medycznego. Pociąga to za sobą rozwój nowego profesjonalnego podejścia do tłumaczenia takich tekstów jak również specyficznych kompetencji (dlatego w artykule pokrótce wyjaśnione zostaną pojęcia takie jak profesjonalizm i kompetencja). Podejście zaprezentowane w artykule będzie podejściem zorientowanym na tłumacza.Medical translation has been an area of an increased growth in the demand for translation services. It is considered to cover an extensive variety of genres, starting from hospital discharge reports, epicrises, specialist articles in medical journals, patient information leaflets (PILs) or instructions for use (IFU). It also has entered the area of activity of court translators due to e.g. migration or Poland’s membership in the EU and resultant EU-law implementation procedures (i.e., implementation of the Medical Devices Directive 93/42/EEC) and commercialisation of medical devices, thus generating the need to deal with an array of texts from the entire realm of various fields of medicine, and related disciplines (pharmacy, pharmacology, biology, etc.). Court translators are therefore facing difficulties and at the same time challenges, among which most important are the lack of medical knowledge, medical terminology (including acronyms and abbreviations) or medical phraseology in general. This entails the development of a new professional approach towards proceeding with such tasks, and requires constant improvement of skills and knowledge as well as special competencies that might be of help for translators (for this reason the notions of professionalism and translation competence shall be briefly elucidated). The focus of the article is placed on translation of medical texts seen from the point of view of translators and the purpose of translation, and not from the perspective of users, thus the approach is translator-centred

    EnsNet: Ensconce Text in the Wild

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    A new method is proposed for removing text from natural images. The challenge is to first accurately localize text on the stroke-level and then replace it with a visually plausible background. Unlike previous methods that require image patches to erase scene text, our method, namely ensconce network (EnsNet), can operate end-to-end on a single image without any prior knowledge. The overall structure is an end-to-end trainable FCN-ResNet-18 network with a conditional generative adversarial network (cGAN). The feature of the former is first enhanced by a novel lateral connection structure and then refined by four carefully designed losses: multiscale regression loss and content loss, which capture the global discrepancy of different level features; texture loss and total variation loss, which primarily target filling the text region and preserving the reality of the background. The latter is a novel local-sensitive GAN, which attentively assesses the local consistency of the text erased regions. Both qualitative and quantitative sensitivity experiments on synthetic images and the ICDAR 2013 dataset demonstrate that each component of the EnsNet is essential to achieve a good performance. Moreover, our EnsNet can significantly outperform previous state-of-the-art methods in terms of all metrics. In addition, a qualitative experiment conducted on the SMBNet dataset further demonstrates that the proposed method can also preform well on general object (such as pedestrians) removal tasks. EnsNet is extremely fast, which can preform at 333 fps on an i5-8600 CPU device.Comment: 8 pages, 8 figures, 2 tables, accepted to appear in AAAI 201
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