Decision Tree Classification Model In Water Supply Network

With the service life of water supply network (WSN) growth, the growing phenomenon of aging pipe network has become exceedingly serious. As urban water supply network is hidden underground asset, it is difficult for monitoring staff to make a direct classification towards the faults of pipe network by means of the modern detecting technology. In this paper, based on the basic property data (e.g. diameter, material, pressure, distance to pump, distance to tank, load, etc.) of water supply network, decision tree algorithm (C4.5) has been carried out to classify the specific situation of water supply pipeline. Part of the historical data was used to establish a decision tree classification model, and the remaining historical data was used to validate this established model. Adopting statistical methods were used to access the decision tree model including basic statistical method, Receiver Operating Characteristic (ROC) and Recall-Precision Curves (RPC). These methods has been successfully used to assess the accuracy of this established classification model of water pipe network. The purpose of classification model was to classify the specific condition of water pipe network. It is important to maintain the pipeline according to the classification results including asset unserviceable (AU), near perfect condition (NPC) and serious deterioration (SD). Finally, this research focused on pipe classification which plays a significant role in maintaining water supply networks in the future.

Corporate social responsibility and environmental sustainability: classification of the initiatives of the FMCG companies operating in Brazil

Este trabalho tem como objetivo fornecer uma análise detalhada do cenário da sustentabilidade ambiental e iniciativas de responsabilidade social corporativa nas empresas que operam no mercado de bens de consumo brasileiro. Para alcançar este objetivo as dez maiores empresas do mercado-alvo presente no Brasil foram analisadas por meio da classificação das suas iniciativas em três perspectivas amplas. Com esta classificação o cenário do mercado pode ser visto. As perspectivas utilizadas para a elaboração do trabalho são: (1) iniciativa ambiental ou social; (2) o foco interno ou externo e (3) a marca ou o custo como motivador. Depois de classificar todas as iniciativas, foi possível ver que as empresas similares, que operam em mercados semelhantes, têm estratégias que são muito parecidos entre si. Além disso, ficou claro que a estratégia de negócios da empresa influencia as suas políticas ambientais e sociais, em particular os objetivos que estas políticas procuram obter.Embora este trabalho apresente um panorama abrangente do setor de bens de consumo em relação a políticas de comportamento responsável das empresas, ele tem algumas limitações. A limitação mais significativa diz respeito a metodologia. As iniciativas foram avaliadas pela quantidade e a abrangência dos benefícios do impacto positivo não foram avaliados, impossibilitando assim a comparação do tamanho do impacto de cada empresa. Uma vez que pode haver um projeto de uma empresa que tem maior impacto do que vários outros feitos por alguma outra empresa. A metodologia foi baseada em clusters de categorias, no entanto, as iniciativas não são completamente uma coisa ou outra, ou seja, uma iniciativa pode ter diferentes impactos, drivers ou foco, nesses casos, os aspectos mais relevantes foram a escolhidos para classificá-los.

Multivariate analysis for the classification and differentiation of Madeira wines according to main grape varieties

In order to differentiate and characterize Madeira wines according to main grape varieties, the volatile composition (higher alcohols, fatty acids, ethyl esters and carbonyl compounds) was determined for 36 monovarietal Madeira wine samples elaborated from Boal, Malvazia, Sercial and Verdelho white grape varieties. The study was carried out by headspace solid-phase microextraction technique (HS-SPME), in dynamic mode, coupled with gas chromatography–mass spectrometry (GC–MS). Corrected peak area data for 42 analytes from the above mentioned chemical groups was used for statistical purposes. Principal component analysis (PCA) was applied in order to determine the main sources of variability present in the data sets and to establish the relation between samples (objects) and volatile compounds (variables). The data obtained by GC–MS shows that the most important contributions to the differentiation of Boal wines are benzyl alcohol and (E)-hex-3-en-1-ol. Ethyl octadecanoate, (Z)-hex-3-en-1-ol and benzoic acid are the major contributions in Malvazia wines and 2-methylpropan-1-ol is associated to Sercial wines. Verdelho wines are most correlated with 5-(ethoxymethyl)-furfural, nonanone and cis-9-ethyldecenoate. A 96.4% of prediction ability was obtained by the application of stepwise linear discriminant analysis (SLDA) using the 19 variables that maximise the variance of the initial data set.

Classification of Boal, Malvazia, Sercial and Verdelho wines based on terpenoid patterns

Thirty-six Madeira wine samples from Boal, Malvazia, Sercial and Verdelho white grape varieties were analyzed in order to estimate the free fraction of monoterpenols and C13 norisoprenoids (terpenoid compounds) using dynamic headspace solid phase micro-extraction (HS-SPME) technique coupled with gas chromatography–mass spectrometry (GC–MS). The average values from three vintages (1998–2000) show that these wines have characteristic profiles of terpenoid compounds. Malvazia wines exhibits the highest values of total free monoterpenols, contrary to Verdelho wines which had the lowest levels of terpenoids but produced the highest concentration of farnesol. The use of multivariate analysis techniques allows establishing relations between the compounds and the varieties under investigation. Principal component analysis (PCA) and linear discriminant analysis (LDA) were applied to the obtained matrix data. A good separation and classification power between the four groups as a function of their varietal origin was observed.

Influence of stocking densities in the nursery phase on the growth of Macrobrachium amazonicum reared in net pens

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

The Predation of Artemia Nauplii by the Larvae of the Amazon River Prawn, Macrobrachium amazonicum (Heller, 1862), is Affected by Prey Density, Time of Day, and Ontogenetic Development

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Efeito da intensidade luminosa no desenvolvimento larval do camarão-da-amazônia, Macrobrachium amazonicum

The effects of four light intensities (0; 2.8 +/- 0.9; 5,5 +/- 1,8 e 7,8 +/- 2,5 mu mol s(-1) m(-2), about 136.5 +/- 87.5; 273 +/- 43.8 e 390 +/- 125 lux, respectively) on survival, productivity, weight gain and larval development of Macrobrachium amazonicum were investigated. Four treatments with three replicate tanks were evaluated. Newly hatched larvae were held in black tanks (80.2 +/- 0.6 larvae L(-1)) filled with 50-L-brackish water (salinity of 10), in a recirculating system. Tanks were covered with shadow cloth allowing 35% and 70% light, respectively, to reach light intensities of 2.8 +/- 0.9 and 5.5 +/- 1.8 mu mol s(-1) m(-2) at the water surface. Complete absence of light (0 mu mol s(-1) m(-2)) was obtained covering the tanks with opaque black plastic, and full-light condition used no covering (7.8 +/- 2.5 mu mol s(-1) m(-2)). Observations showed that the survival rate was not affected by light intensity. Productivity and weight gain were higher under 7.8 +/- 2.5 mu mol s(-1) m(-2) light intensity than under 0 and 2.8 +/- 0.9 1 mu mol s(-1) m(-2) intensities (P<0.05). The larval development index was similar among the treatments under the different light intensities. However, from stage VII this index was increased slightly in the treatment under 7.8 +/- 2.5 mu mol s(-1) m(-2) light intensity. In conclusion, light intensity affects larval development of M. amazonicum. Values as high as 7.8 mu mol s(-1) m(-2) (about 390 lux) improve the larval performance by enhancing development, productivity and weight gain compared to lower values.

Food intake of Macrobrachium rosenbergii during larval development

This work investigates the acceptance of different food types and sizes by Macrobrachium rosenbergii during each larval stage. Food intake of dry and wet formulated diets of four different size classes (250-425, 425-710, 710-1000 and 1000-1190 mum), as well as Artemia nauplii, was determined. Larvae of each zoeal stage were stocked in beakers and fed ad libitum. After 30-45 min, the digestive tract of each larva was observed under a stereomicroscope. Acceptance was evaluated by food intake frequency (FFI). There was no significant interaction (P<0.05) between inert diet size and FFI for each larval stage. Therefore, food intake during larval development is independent of food particle size. The ingestion of Artemia nauplii, was significantly higher by larvae between stages II and VI. Between stages VII and XI, FFI for Artemia nauplii and wet diet was similar, while the FFI of the dry diet was similar to live food between stages IX and XI. The wet diet was ingested by more than 50% of the larvae only from stage VII onwards, while the dry diet from stage VIII onwards. These results indicate that larvae could be fed Artemia nauplii only until stage VI. Diet supplementation should start from stage VII onwards, using food particles varying from 250 to 1190 mum. (C) 2003 Elsevier B.V. B.V. All rights reserved.

Ingestion rates of Artemia nauplii for different larval stages of Macrobrachium rosenbergii

The functional response between ingestion rate and food concentration was determined for each larval stage of Macrobrachium rosenbergii. Artemia franciscana nauplii were supplied at 2,4, 6, 8, 10 and 12 per milliliter. The nauplii were counted by sight using a Pasteur pipette and transferred to Petri dishes containing 40 ml of brackish water (12 parts per thousand) lying on the top of black plastic. One larva at each stage was individually placed into each Petri dish containing different food density. After 24 h, each larva was removed from the Petri dish and the leftover nauplii were counted. The amount consumed was determined by the difference between the initial and final number of nauplii. Ingestion rate (I) increased as food density (P) increased and was defined by the model I=I-m(1-e(-kP)). The results suggest four levels of ingestion during larval development. The first level includes stages II, III and IV, with average maximum consumption of about 40 nauplii/day; the second level includes stages V and VI, with consumption of approximately 55 nauplii/day; the third level includes stages VII and VIII, with consumption of 80-100 nauplii/day. The fourth level includes stages IX, X and XI, in which the high values for maximum ingestion (Im) exceed the load capacity of the medium. The low values for constant k (that may correspond to the adaptability of the food to prey characteristics, such as, size, mobility, etc.) obtained for stages IX, X and XI indicated that Artemia is not an adequate prey and there is necessity of a supplementary diet. The best relationship between predator and prey seemed to occur during stage IV Results obtained in the present work may subsidize future researches and serve as a guideline for practical considerations of feeding rates. (C) 2003 Elsevier B.V. B.V. All rights reserved.