Short-term power generation scheduling rules for cascade hydropower stations based on hybrid algorithm

AbstractPower generation dispatching is a large complex system problem with multi-dimensional and nonlinear characteristics. A mathematical model was established based on the principle of reservoir operation. A large quantity of optimal scheduling processes were obtained by calculating the daily runoff process within three typical years, and a large number of simulated daily runoff processes were obtained using the progressive optimality algorithm (POA) in combination with the genetic algorithm (GA). After analyzing the optimal scheduling processes, the corresponding scheduling rules were determined, and the practical formulas were obtained. These rules can make full use of the rolling runoff forecast and carry out the rolling scheduling. Compared with the optimized results, the maximum relative difference of the annual power generation obtained by the scheduling rules is no more than 1%. The effectiveness and practical applicability of the scheduling rules are demonstrated by a case study. This study provides a new perspective for formulating the rules of power generation dispatching

Research Article Using a Rule-based Method for Detecting Anomalies in Software Product Line

Abstract: This study proposes a rule based method for detecting anomalies in SPL. By anomalies we mean falseoptional features and wrong cardinality. Software Product Line (SPL) is an emerging methodology for software products development. Successful software product is highly dependent on the validity of a SPL. Therefore, validation is a significant process within SPL. Anomalies are well known problems in SPL. Anomiles in SPL means dead feature, redundancy, wrong-cardinality and false-option features. In the literature, the problem of false-option features and wrong cardinality did not take the signs of attentions as a dead feature and redundancy problems. The maturity of the SPL can be enhanced by detecting and removing the false-option features. Wrong cardinality can cause problems in developing software application by preventing configuration of variants from their variation points. The contributions of this study are First Order Logic (FOL) rules for deducing false-option features and wrong-cardinality. Moreover, we provide a new classification of the wrong cardinality. As a result, all cases of falseoption features and wrong variability in the domain-engineering process are defined. Finally, experiments are conducted to prove the scalability of the proposed method

Marine Microbial Diversity as Source of Bioactive Compounds

Over 70% of the Earth’s surface is covered by oceans and seas, which are massively complex and consist of diverse assemblages of life forms. Marine bacteria, fungi, and other microorganisms develop unique metabolic and physiological capabilities that enable them to survive in extreme habitats and to produce compounds that might not be produced by their terrestrial counterparts. In the last few decades, the systematic investigations of marine/marine-derived microorganisms as sources of novel biologically active agents has exponentially increased. This Special Issue will focus on aspects relating to new bioactive metabolites from marine microorganisms including the isolation, taxonomy, and/or dereplication of microorganisms and the corresponding isolation, structure elucidation, biosynthesis, and/or biological activities of the new compounds. Comprehensive topical review articles relating to marine metabolites will also be considered

Deformable Polyurethane Joints and Fibre Grids for Resilient Seismic Performance of Reinforced Concrete Frames with Orthoblock Brick Infills

The behaviour of reinforced concrete frames with masonry wall infills is influenced a lot by the stiffness and strength difference between the frame and the infill, causing early detrimental damage to the infill or to the critical concrete columns. The paper reports the results from shake table seismic tests on a full-scale reinforced concrete (RC) frame building with modified hollow clay block (orthoblock brick) infill walls, within INMASPOL SERA Horizon 2020 project. The building received innovative resilient protection using Polyurethane Flexible Joints (PUFJs) made of polyurethane resin (PU), applied at the frame-infill interface in different schemes. Further, PUs were used for bonding of glass fibre grids to the weak masonry substrate to form Fibre Reinforced Polyurethanes (FRPUs) as an emergency repair intervention. The test results showed enhancement in the in-plane and out-of-plane infill performance under seismic excitations. The results confirmed remarkable delay of significant infill damages at very high RC frame inter-story drifts as a consequence of the use of PUFJs. Further, the PUFJ protection enabled the resilient repair of the infill even after very high inter-story drift of the structure up to 3.7%. The applied glass FRPU system efficiently protected the damaged infills against collapse under out-of-plane excitation while they restored large part of their in-plane stiffness

Um Modelo para a visualização de conhecimento baseado em imagens semânticas

Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia e Gestão do ConhecimentoOs avanços no processamento e gerenciamento eletrônico de documentos têm gerado um acúmulo grande de conhecimento que tem excedido o que os usuários comuns podem perceber. Uma quantidade considerável de conhecimento encontra-se explicitado em diversos documentos armazenados em repositórios digitais. Em muitos casos, a possibilidade de acessar de forma eficiente e reutilizar este conhecimento é limitada. Como resultado disto, a maioria do conhecimento não é suficientemente explorado nem compartilhado, e conseqüentemente é esquecido em um tempo relativamente curto. As tecnologias emergentes de visualização e o sistema perceptual humano podem ser explorados para melhorar o acesso a grandes espaços de informação facilitando a detecção de padrões. Por outro lado, o uso de elementos visuais que contenham representações do mundo real que a priori são conhecidos pelo grupo-alvo e que fazem parte da sua visão de mundo, permite que o conhecimento apresentado por meio destas representações possa facilmente ser relacionados com o conhecimento prévio dos indivíduos, facilitando assim a aprendizagem. Apesar das representações visuais terem sido usadas como suporte para a disseminação do conhecimento, não têm sido propostos modelos que integrem os métodos e técnicas da engenharia do conhecimento com o uso das imagens como meio para recuperar e visualizar conhecimento. Neste trabalho apresenta-se um modelo que visa facilitar a visualização do conhecimento armazenado em repositórios digitais usando imagens semânticas. O usuário, através das imagens semânticas, pode recuperar e visualizar o conhecimento relacionado às entidades representadas nas regiões das imagens. As imagens semânticas são representações visuais do mundo real as quais são conhecidas previamente pelo grupo alvo e possuem mecanismos que permitem identificar os conceitos do domínio representados em cada região. O modelo proposto apóia-se no framework para visualização do conhecimento proposto por Burkhard e descreve as interações dos usuários com as imagens. Um protótipo foi desenvolvido para demonstrar a viabilidade do modelo usando imagens no domínio da anatomia, a Foundational Model of Anatomy e a Unified Medical Language System como conhecimento do domínio e o banco de dados da Scientific Electronic Library Online como repositório de documento.Advances in processing and electronic document management have generated a great accumulation of knowledge that is beyond what ordinary users can understand. A considerable amount of knowledge is explained in various documents stored in digital repositories. In many cases, the ability to eficiently access and reuse this knowledge is limited. As a result, most knowledge is not exploited or shared, and therefore it is forgotten in a relatively short time. The emerging technologies of visualization and the human perceptual system can be exploited to improve access to large information spaces facilitating the patterns detection. Moreover, the use of visual elements that contain representations of the real world that are known a priori by the target group and that are part of his world view, allows that the knowledge presented by these representations can be easily related to their prior knowledge, thereby facilitating learning. Despite visual representations have been used to support knowledge dissemination, no models have been proposed to integrate knowledge engineering methods and techniques with the use of images as a medium to retrieve and display knowledge. This work presents a model that aims to facilitate the visualization of the knowledge stored in digital repositories using semantic images. Through the semantic images, the user can retrieve and visualize the knowledge related to the entities represented in the image regions. The semantic images are visual representations of the real world which are known in advance by the target group and have mechanisms to identify domain concepts represented in each region. The proposed model is based on the framework for visualization of knowledge proposed by Burkhard and describes the interactions of users with the images. A prototype was eveloped to demonstrate the feasibility of the model using archetypes in the field of anatomy, using the Foundational Model of Anatomy and the Unifiled Medical Language System as knowledge domain and the database of the Scientific Electronic Library Online as a document repository