4,172 research outputs found

    Domains via approximation operators

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    In this paper, we tailor-make new approximation operators inspired by rough set theory and specially suited for domain theory. Our approximation operators offer a fresh perspective to existing concepts and results in domain theory, but also reveal ways to establishing novel domain-theoretic results. For instance, (1) the well-known interpolation property of the way-below relation on a continuous poset is equivalent to the idempotence of a certain set-operator; (2) the continuity of a poset can be characterized by the coincidence of the Scott closure operator and the upper approximation operator induced by the way below relation; (3) meet-continuity can be established from a certain property of the topological closure operator. Additionally, we show how, to each approximating relation, an associated order-compatible topology can be defined in such a way that for the case of a continuous poset the topology associated to the way-below relation is exactly the Scott topology. A preliminary investigation is carried out on this new topology.Comment: 17 pages; 1figure, Domains XII Worksho

    Correction of "Cloud Removal By Fusing Multi-Source and Multi-Temporal Images"

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    Remote sensing images often suffer from cloud cover. Cloud removal is required in many applications of remote sensing images. Multitemporal-based methods are popular and effective to cope with thick clouds. This paper contributes to a summarization and experimental comparation of the existing multitemporal-based methods. Furthermore, we propose a spatiotemporal-fusion with poisson-adjustment method to fuse multi-sensor and multi-temporal images for cloud removal. The experimental results show that the proposed method has potential to address the problem of accuracy reduction of cloud removal in multi-temporal images with significant changes.Comment: This is a correction version of the accepted IGARSS 2017 conference pape

    Chinese professionals: Negotiations with Portuguese stakeholders

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    With the increasingly closer trade and cultural exchanges between China and Portugal, more and more Chinese companies and investors have entered the Portuguese market in recent years. Chinese companies and workers in the Portuguese market need to face conflicts with Portuguese stakeholders in their work, so it is very important to master appropriate negotiation methods to resolve conflicts and improve stakeholder management. The purpose of this paper is to provide an experienced framework for Chinese companies and professionals in Portugal so as to use negotiation for resolving conflicts in their work, avoiding cultural conflicts and improving the management of relevant Portuguese stakeholders. This study is based on literature review work and also on a semi-structured interview of ten Chinese leaders and employees who hold high positions in their companies and run businesses in Portugal. This interview-based research aims to respond to five main questions, and the results of the questions can be concluded in order to draw an experienced framework of negotiation for Chinese professionals to handle the conflicts with Portuguese stakeholders and improve their management. Although there are also some limitations to this research, due to the current situation in Portugal, this thesis will contribute to establish a bridge for Chinese companies and professionals who want to enter the Portuguese market.Com as trocas comerciais e culturais mais pr√≥ximas entre China e Portugal, cada vez mais empresas e investidores chineses entraram no mercado portugu√™s nos √ļltimos anos. As empresas e trabalhadores chineses no mercado portugu√™s precisam de enfrentar conflitos com os stakeholders portugueses no seu trabalho, por isso √© muito importante dominar os m√©todos de negocia√ß√£o apropriados para resolver conflitos e melhorar a gest√£o dos stakeholders. O objetivo deste artigo √© fornecer uma estrutura experiente para empresas e profissionais chineses em Portugal usarem a negocia√ß√£o para resolver conflitos no seu trabalho, evitar conflitos culturais e melhorar a gest√£o dos stakeholders portugueses relevantes. Este estudo baseia-se num trabalho de revis√£o de literatura e tamb√©m numa pesquisa desenvolvida via uma entrevista semiestruturada a dez l√≠deres e funcion√°rios chineses que ocupam uma posi√ß√£o de destaque nas suas empresas com neg√≥cios em Portugal. As entrevistas tiveram como objetivo responder a cinco quest√Ķes principais, e os resultados das perguntas podem ser conclu√≠dos para tra√ßar uma estrutura de negocia√ß√£o experiente para profissionais chineses lidarem com os conflitos com os stakeholders portugueses e melhorar a sua gest√£o. Embora tamb√©m existam algumas limita√ß√Ķes para esta pesquisa, quanto √† situa√ß√£o atual em Portugal, esta tese contribuir√° para estabelecer uma ponte para empresas e profissionais chineses que desejem entrar no mercado portugu√™s

    Forecasting bus passenger flows by using a clustering-based support vector regression approach

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    As a significant component of the intelligent transportation system, forecasting bus passenger flows plays a key role in resource allocation, network planning, and frequency setting. However, it remains challenging to recognize high fluctuations, nonlinearity, and periodicity of bus passenger flows due to varied destinations and departure times. For this reason, a novel forecasting model named as affinity propagation-based support vector regression (AP-SVR) is proposed based on clustering and nonlinear simulation. For the addressed approach, a clustering algorithm is first used to generate clustering-based intervals. A support vector regression (SVR) is then exploited to forecast the passenger flow for each cluster, with the use of particle swarm optimization (PSO) for obtaining the optimized parameters. Finally, the prediction results of the SVR are rearranged by chronological order rearrangement. The proposed model is tested using real bus passenger data from a bus line over four months. Experimental results demonstrate that the proposed model performs better than other peer models in terms of absolute percentage error and mean absolute percentage error. It is recommended that the deterministic clustering technique with stable cluster results (AP) can improve the forecasting performance significantly.info:eu-repo/semantics/publishedVersio
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