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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Estudos biométricos em cana-de-açúcar nas microrregiões mata norte e litoral sul de Pernambuco

ALBUQUERQUE, Aurélia Pietrina da Costa 01 August 2011 (has links)
Submitted by (ana.araujo@ufrpe.br) on 2017-02-06T15:55:32Z No. of bitstreams: 1 Aurelia Pietrina da Costa Albuquerque.pdf: 1587397 bytes, checksum: 4d39a4318ddb3add33ed27770d7ec304 (MD5) / Made available in DSpace on 2017-02-06T15:55:32Z (GMT). No. of bitstreams: 1 Aurelia Pietrina da Costa Albuquerque.pdf: 1587397 bytes, checksum: 4d39a4318ddb3add33ed27770d7ec304 (MD5) Previous issue date: 2011-08-01 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES / In order to continually evaluate promising varieties or new clones, the experimentation become increasingly frequent behavior and to determine the feasibility of its use in commercial plantations. The objective of this study was analyze the behavior of eleven clones and fifiteen varieties in the sugarcane microrregion Mata Norte of Pernambuco. The study was conducted in the agricultural area of Sugar Mill Olho d’gua. Were used a randomized block experimental design with four replications. The variables analyzed were: pol tons per hectare, tons of cane per hectare, fiber, pol% corrected, purity, content of soluble solids and total recoverable sugar. Were conducted the variance analysis of the experiments, means were grouped by Skott& Knott test at 5% probability. In the first harvest season, stood out as more productive, RB92579, RB942991 RB867515 and in the second season RB93509, RB75126 and SP81-3250. And finally in the third cropping season stood out RB92579, RB93509 RB867515. / Com o intuito de avaliar continuamente as variedades ou novos clones, as experimentações tornam-se cada vez mais frequentes para determinar o comportamento e a viabilidade de seu aproveitamento em plantios comerciais. O objetivo deste trabalho foi analisar o comportamento de 11 clones e 15 variedades de cana-de-açúcar na microrregião canavieira da Mata Norte de Pernambuco. O experimento foi conduzido na área agrícola da Usina Olho D’água, onde foi utilizado o delineamento experimental de blocos casualizados com quatro repetições. As variáveis analisadas foram: toneladas de pol por hectare, toneladas de cana por hectare, fibra, pol % corrigida, pureza, teor de sólidos solúveis e açúcar total recuperável. Realizou-se a análise de variância conjunta dos experimentos, as médias foram agrupadas pelo teste de Skott&Knott ao nível de 5% de probabilidade. Realizou-se a estimativa de parâmetros genéticos. Na primeira época, de colheita destacaram-se como mais produtivas, RB92579, RB867515 e RB942991. Na segunda época, a RB93509, SP81-3250 e RB75126. E, finalmente, na terceira época de colheita, destacaram-se RB92579, RB867515 e RB93509.
2

An Empirical Evaluation & Comparison of Effectiveness & Efficiency of Fault Detection Testing Techniques

Natraj, Shailendra January 2013 (has links)
Context: The thesis is the analysis work of the replication of software experiment conducted by Natalia and Sira at Technical University of Madrid, SPAIN. The empirical study was conducted for the verification and validation of experimental data, and to evaluate the effectiveness and efficiency of the testing techniques. The analysis blocks, considered for the analysis were observable fault, failure visibility and observed faults. The statistical data analysis involved the ANOVA and Classification package of SPSS. Objective: To evaluate and compare the result obtained from the statistical data analysis. To establish the verification and validation of effectiveness and efficiency of testing techniques by using ANOVA and Classification tree analysis for percentage subject, percentage defect-subject and values (Yes / No) for each of the blocks. RQ1: Empirical evaluation of effectiveness of fault detection testing technique, using data analysis (ANOVA and Classification tree package). For the blocks (observable fault, failure visibility and observed faults) using ANOVA and Classification tree. RQ2: Empirical evaluation of efficiency of fault detection technique, based on time and number of test cases using ANOVA. RQ3: Comparison and inference of the obtained results for both effectiveness and efficiency. Method:The research will be focused on the statistical data analysis to empirically evaluate the effectiveness and efficiency of the fault detection technique for the experimental data collected at UPM (Technical university of Madrid, SPAIN). Empirical Strategy Used: Software Experiment. Results: Based on the planned research work. The analysis result obtained for the observable fault types were standardized (Ch5). Within the observable fault block, both the techniques, functional and structural were equally effective. In the failure visibility block, the results were partially standardized. The program types nametbl and ntree were equally effective in fault detection than cmdline. The result for observed fault block was partially standardized and diverse. The list for significant factors in this blocks were program types, fault types and techniques. In the efficiency block, the subject took less time in isolating the fault in the program type cmdline. Also the efficiency in fault detection was seen in cmdline with the help of generated test cases. Conclusion:This research will help the practitioners in the industry and academic in understanding the factors influencing the effectiveness and efficiency of testing techniques.This work also presents a comprehensive analysis and comparison of results of the blocks observable fault, failure visibility and observed faults. We discuss the factors influencing the efficiency of the fault detection techniques. / shailendra.natraj@gmail.com +4917671952062

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