940 resultados para Data base management.


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Various modern aquaculture practices applied in fish production especially in Asia are reviewed. The vast Nigerian aquatic medium of numerous water bodies like rivers, streams, lakes reservoirs, flood plains, irrigation canals, coastal swamps offer great potentials for aquaculture production, if optimally utilized. Constraints to modernization of aquaculture in Nigeria among other factors are: 1) a serious shortage of trained manpower; 2) lack of knowledge on profitability of aquaculture as an industry; 3) limited availability of fund (or capital); 4) non-recognition of indigenous trained aquaculture personnel; 5) inadequate data base on the biology and ecological requirements of endemic fish species with aquaculture potentials; 6) insufficient data on production and management techniques; and 7) lack of rational aquaculture development planning. Recommendations are made towards combating these constraints

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Although there is a growing awareness of the value of temporary ponds in Europe, there is still remarkably little information available to help guide their conservation and management. General principles which can be used to guide the management of temporary ponds as a whole have yet to be established. The aim of this article, therefore, is to give a broader overview of the main principles of temporary pond conservation, particularly by building on a number of general principles for managing ponds previously described by Biggs et al. (1994) and Williams et al. The authors emphasise the importance of surveys in order to get data on which to base management strategies. The main principles of temporary pond management are described, and examples of three case studies of ponds in England are given.

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Published and unpublished research findings regarding charter and headboat fishing customers from 11 studies were reviewed to provide a marketing data base for operators and to guide further research efforts. Generally, charter/headboat fishing is a male-oriented activity. Customers were between 30 and 55 years of age. Although both groups of anglers considered themselves to be experienced, charterboat anglers had fished for more years. Charter anglers fished more often with their families and headboat anglers more often with their friends. Charterboat anglers reported higher incomes than headboat anglers. Relaxation, having fun, and escaping from daily pressures were generally more important to both groups of anglers than motives relative to catching fish. Most anglers indicated that the skills and performance of the captain and crew contributed heavily to the overall evaluation of their fishing experience. Anglers were more heavily influenced to choose a particular captain or boat by informal advertising methods (i.e., word-of-mouth recommendations, reputation, and visits to the marina) than formal methods (i.e., advertisements, brochures, radio, and television). Charter anglers relied more on word-of-mouth recommendations and headboat customers were more influenced by previous experiences. Implications for further research are discussed.

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O crescimento da população e dos núcleos urbanos durante o século XX, sobretudo nos países em desenvolvimento, contribuiu para o aumento das áreas impermeáveis das bacias hidrográficas, com impactos importantes nos sistemas de drenagem urbana e na ocorrência de enchentes associadas. As enchentes trazem prejuízos materiais, na saúde e sociais. Recentemente, têm sido propostas práticas conservacionistas e medidas compensatórias, que buscam contribuir para o controle das enchentes urbanas, através do retardo do pico e amortecimento dos hidrogramas. Modelos matemáticos hidrológicos-hidráulicos permitem a simulação da adoção destas medidas de controle, demonstrando e otimizando sua localização. Esta dissertação apresenta os resultados da aplicação do modelo hidrológico Storm Water Management Model (SWMM) à bacia hidrográfica de estudo e representativa do rio Morto localizada em área peri-urbana em Jacarepaguá na cidade do Rio de Janeiro, com área de 9,41 km. O processamento do modelo SWMM foi realizado com o apoio da interface Storm and Sanitary Analysis (SSA), integrada ao sistema AutoCAD Civil 3D. Além da verificação da adequabilidade do modelo à representação dos sistemas hidrológico e hidráulico na bacia, foram desenvolvidos estudos para dois cenários como medidas de controle de enchentes: cenário 1, envolvendo implantação de um reservatório de detenção e, cenário 2, considerando a implantação de reservatórios de águas pluviais nos lotes. Os hidrogramas resultantes foram comparados ao hidrograma resultante da simulação nas condições atuais. Além disso, foram avaliados os custos associados a cada um dos cenários usando o sistema de orçamento da Empresa Rio Águas da PCRJ. Nas simulações foram adotadas a base cartográfica, e os dados climatológicos e hidrológicos previamente observados no contexto do projeto HIDROCIDADES, Rede de Pesquisa BRUM/FINEP, na qual este estudo se insere. Foram representados os processos de geração e propagação do escoamento superficial e de base. Durante o processo de calibração, realizou-se a análise de sensibilidade dos parâmetros, resultando como parâmetros mais sensíveis os relativos às áreas impermeáveis, especialmente o percentual de área impermeável da bacia (Ai). A calibração foi realizada através do ajuste manual de sete parâmetros do escoamento superficial e cinco do escoamento de base para três eventos. Foram obtidos coeficientes de determinação entre 0,52 e 0,64, e a diferença entre os volumes escoados e observados entre 0,60% e 4,96%. Para a validação do modelo foi adotado um evento pluviométrico excepcional observado na cidade em abril de 2010, que à época causou enchentes e grandes transtornos na cidade. Neste caso, o coeficiente de determinação foi igual a 0,78 e a diferença entre volumes foi de 15%. As principais distorções entre hidrogramas observados e simulados foram verificados para as vazões máximas. Em ambos os cenários as enchentes foram controladas. A partir destes estudos, pôde-se concluir que o melhor custo-benefício foi o cenário 2. Para este cenário, foi observado maiores amortecimento e retardo da vazão de pico do hidrograma, igual a 21,51% da vazão simulada para as condições atuais da bacia. Os custos de implantação orçados para os reservatórios de lote ficaram 52% a menos do que o do reservatório de detenção.

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It is a common knowledge that illegal fishing which includes use of wrong gears, explosives, excessive exploitation of choice stocks, enhancement and stocking of water body and pollution has devastating effects on the critical biomass of fish biodiversity and livelihood activities associated with fishing. Efforts worldwide to arrest these menace are significant because it has been found that illegal fishing has made fishing non sustainable, resulted in poor fishermen catches, and exacerbated the use of illegal gears in an effort to a must catch. Conflict between fisher folk and policies has continued to generate different strategies in the control of illegal fishing. Some of these strategies at regional and National levels include creation and implementation of fisheries laws, fishing edicts, code of conduct for responsible fisheries, policing of inland water bodies, capacity building and capability through training of fishermen, creating necessary awareness, arrest and punishment of offenders. There are also other initiative on conservation and management of freshwater ecosystems which have interrelation with illegal fishing. This paper examines efforts in promoting and boosting the fisheries of Lake Kainji, through creating necessary awareness, campaign visits, radio programmes, gear control, reward systems, integration and diversification of livelihood activities, community based management and policing. It further analyses what is working, problems, and prospect of fisheries laws, the need to integrate factors of political policies, other global initiative on water management for people and nature. Recommendations on strategies including protection of fishing grounds, establishment of catch data base, integration of other intervention as alternative source of income to enhance livelihood, reduce fishing pressure, and capacity building of fisher folks, development of rules and regulations that is community based are highlighted.

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As a typical geological and environmental hazard, landslide has been causing more and more property and life losses. However, to predict its accurate occurring time is very difficult or even impossible due to landslide's complex nature. It has been realized that it is not a good solution to spend a lot of money to treat with and prevent landslide. The research trend is to study landslide's spatial distribution and predict its potential hazard zone under certain region and certain conditions. GIS(Geographical Information System) is a power tools for data management, spatial analysis based on reasonable spatial models and visualization. It is new and potential study field to do landslide hazard analysis and prediction based on GIS. This paper systematically studies the theory and methods for GIS based landslide hazard analysis. On the basis of project "Mountainous hazard study-landslide and debris flows" supported by Chinese Academy of Sciences and the former study foundation, this paper carries out model research, application, verification and model result analysis. The occurrence of landslide has its triggering factors. Landslide has its special landform and topographical feature which can be identify from field work and remote sensing image (aerial photo). Historical record of landslide is the key to predict the future behaviors of landslide. These are bases for landslide spatial data base construction. Based on the plenty of literatures reviews, the concept framework of model integration and unit combinations is formed. Two types of model, CF multiple regression model and landslide stability and hydrological distribution coupled model are bought forward. CF multiple regression model comes form statistics and possibility theory based on data. Data itself contains the uncertainty and random nature of landslide hazard, so it can be seen as a good method to study and understand landslide's complex feature and mechanics. CF multiple regression model integrates CF (landslide Certainty Factor) and multiple regression prediction model. CF can easily treat with the problems of data quantifying and combination of heteroecious data types. The combination of CF can assist to determine key landslide triggering factors which are then inputted into multiple regression model. CF regression model can provide better prediction results than traditional model. The process of landslide can be described and modeled by suitable physical and mechanical model. Landslide stability and hydrological distribution coupled model is such a physical deterministic model that can be easily used for landslide hazard analysis and prediction. It couples the general limit equilibrium method and hydrological distribution model based on DEM, and can be used as a effective approach to predict the occurrence of landslide under different precipitation conditions as well as landslide mechanics research. It can not only explain pre-existed landslides, but also predict the potential hazard region with environmental conditions changes. Finally, this paper carries out landslide hazard analysis and prediction in Yunnan Xiaojiang watershed, including landslide hazard sensitivity analysis and regression prediction model based on selected key factors, determining the relationship between landslide occurrence possibility and triggering factors. The result of landslide hazard analysis and prediction by coupled model is discussed in details. On the basis of model verification and validation, the modeling results are showing high accuracy and good applying potential in landslide research.

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2000

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Technology-supported citizen science has created huge volumes of data with increasing potential to facilitate scientific progress, however, verifying data quality is still a substantial hurdle due to the limitations of existing data quality mechanisms. In this study, we adopted a mixed methods approach to investigate community-based data validation practices and the characteristics of records of wildlife species observations that affected the outcomes of collaborative data quality management in an online community where people record what they see in the nature. The findings describe the processes that both relied upon and added to information provenance through information stewardship behaviors, which led to improved reliability and informativity. The likelihood of community-based validation interactions were predicted by several factors, including the types of organisms observed and whether the data were submitted from a mobile device. We conclude with implications for technology design, citizen science practices, and research.

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The X-ray crystal structures of (I), the base 4030W92, 5-(2,3-dichlorophenyl)-2,4-diamino-6-fluoromethyl-pyrimidine, C11H9Cl2FN4, and (II) 227C89, the methanesulphonic acid salt of 5-(2,6-dichlorophenyl)-1-H-2,4-diamino-6-methyl-pyrimidine, C11H11Cl2N4 center dot CH3O3S, have been carried out at low temperature. A detailed comparison of the two structures is given. Structure (I) is non-centrosymmetric, crystallizing in space group P2(1) with unit cell a = 10.821(3), b = 8.290(3), c = 13.819(4) angstrom, beta = 105.980(6)degrees, V = 1191.8(6) angstrom(3), Z = 4 (two molecules per asymmetric unit) and density (calculated) = 1.600 mg/m(3). Structure (II) crystallizes in the triclinic space group P (1) over bar with unit cell a = 7.686(2), b = 8.233(2), c = 12.234(2) angstrom, alpha = 78.379(4), beta = 87.195(4), gamma = 86.811(4)degrees, V = 756.6(2) angstrom(3), Z = 2, density (calculated) = 1.603 mg/m(3). Final R indices [I > 2sigma(I)] are R1 = 0.0572, wR2 = 0.1003 for (I) and R1 = 0.0558, wR2 = 0.0982 for (II). R indices (all data) are R1 = 0.0983, wR2 = 0.1116 for (I) and R1 = 0.1009, wR2 = 0.1117 for (II). 5- Phenyl-2,4 diaminopyrimidine and 6-phenyl-1,2,4 triazine derivatives, which include lamotrigine (3,5-diamino-6-(2,3-dichlorophenyl)-1,2,4-triazine), have been investigated for some time for their effects on the central nervous system. The three dimensional structures reported here form part of a newly developed data base for the detailed investigation of members of this structural series and their biological activities.

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This paper explores the performance of sliding-window based training, termed as semi batch, using multilayer perceptron (MLP) neural network in the presence of correlated data. The sliding window training is a form of higher order instantaneous learning strategy without the need of covariance matrix, usually employed for modeling and tracking purposes. Sliding-window framework is implemented to combine the robustness of offline learning algorithms with the ability to track online the underlying process of a function. This paper adopted sliding window training with recent advances in conjugate gradient direction with application of data store management e.g. simple distance measure, angle evaluation and the novel prediction error test. The simulation results show the best convergence performance is gained by using store management techniques. © 2012 Springer-Verlag.

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Dissertação de Mestrado, Gestão da Água e da Costa, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2010

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This paper presents a methodology supported on the data base knowledge discovery process (KDD), in order to find out the failure probability of electrical equipments’, which belong to a real electrical high voltage network. Data Mining (DM) techniques are used to discover a set of outcome failure probability and, therefore, to extract knowledge concerning to the unavailability of the electrical equipments such us power transformers and high-voltages power lines. The framework includes several steps, following the analysis of the real data base, the pre-processing data, the application of DM algorithms, and finally, the interpretation of the discovered knowledge. To validate the proposed methodology, a case study which includes real databases is used. This data have a heavy uncertainty due to climate conditions for this reason it was used fuzzy logic to determine the set of the electrical components failure probabilities in order to reestablish the service. The results reflect an interesting potential of this approach and encourage further research on the topic.

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A methodology based on data mining techniques to support the analysis of zonal prices in real transmission networks is proposed in this paper. The mentioned methodology uses clustering algorithms to group the buses in typical classes that include a set of buses with similar LMP values. Two different clustering algorithms have been used to determine the LMP clusters: the two-step and K-means algorithms. In order to evaluate the quality of the partition as well as the best performance algorithm adequacy measurements indices are used. The paper includes a case study using a Locational Marginal Prices (LMP) data base from the California ISO (CAISO) in order to identify zonal prices.

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Trabalho Final de Mestrado para obtenção de grau de Mestre em Engenharia Mecânica na Especialidade de Manutenção e Produção

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Dissertação para obtenção do grau de Mestre em Engenharia Civil na Área de Especialização em Vias de Comunicação e Transportes