Estudo de caso acerva da utilização de métricas de gestão baseada em valor na análise da viabilidade econômico financeira de projetos de investimento

O presente estudo de caso investiga a possibilidade de utilização de métricas de gestão de valor na análise econômica de projetos de investimento e, por consequência, objetiva auxiliar no processo de tomada de decisões acerca de investimentos. Para tal, o arcabouço teórico fundamenta-se na teoria de gestão baseada em valor e análises tradicionais de avaliação de projetos de investimentos. O objetivo é verificar a aderência entre as ferramentas tradicionais (VPL – valor presente líquido) e as novas, baseadas em valor (EVA - valor econômico agregado, CVA - valor adicionado base caixa), amplamente utilizadas para medir o desempenho empresarial.

O impacto da utilização de design patterns nas métricas e estimativas de projetos de software: a utilização de padrões tem alguma influência nas estimativas?

VALENTIM, R. A. M. ; SOUZA NETO, Plácido Antônio de. O impacto da utilização de design patterns nas métricas e estimativas de projetos de software: a utilização de padrões tem alguma influência nas estimativas?. Revista da FARN, Natal, v. 4, p. 63-74, 2006

Contribuições aos Processos de Clustering com Base em Métricas não-Euclidianas

In this work we present a new clustering method that groups up points of a data set in classes. The method is based in a algorithm to link auxiliary clusters that are obtained using traditional vector quantization techniques. It is described some approaches during the development of the work that are based in measures of distances or dissimilarities (divergence) between the auxiliary clusters. This new method uses only two a priori information, the number of auxiliary clusters Na and a threshold distance dt that will be used to decide about the linkage or not of the auxiliary clusters. The number os classes could be automatically found by the method, that do it based in the chosen threshold distance dt, or it is given as additional information to help in the choice of the correct threshold. Some analysis are made and the results are compared with traditional clustering methods. In this work different dissimilarities metrics are analyzed and a new one is proposed based on the concept of negentropy. Besides grouping points of a set in classes, it is proposed a method to statistical modeling the classes aiming to obtain a expression to the probability of a point to belong to one of the classes. Experiments with several values of Na e dt are made in tests sets and the results are analyzed aiming to study the robustness of the method and to consider heuristics to the choice of the correct threshold. During this work it is explored the aspects of information theory applied to the calculation of the divergences. It will be explored specifically the different measures of information and divergence using the Rényi entropy. The results using the different metrics are compared and commented. The work also has appendix where are exposed real applications using the proposed method

Métricas de desempenho para sistema de alarmes de processos industriais

The evolution of automation in recent years made possible the continuous monitoring of the processes of industrial plants. With this advance, the amount of information that automation systems are subjected to increased significantly. The alarms generated by the monitoring equipment are a major contributor to this increase, and the equipments are usually deployed in industrial plants without a formal methodology, which entails an increase in the number of alarms generated, thus overloading the alarm system and therefore the operators of such plants. In this context, the works of alarm management comes up with the objective of defining a formal methodology for installation of new equipment and detect problems in existing settings. This thesis aims to propose a set of metrics for the evaluation of alarm systems already deployed, so that you can identify the health of this system by analyzing the proposed indices and comparing them with parameters defined in the technical norms of alarm management. In addition, the metrics will track the work of alarm management, verifying if it is improving the quality of the alarm system. To validate the proposed metrics, data from actual process plants of the petrochemical industry were used

Estudo Comparativo de Métricas de Pontuação para Aprendizagem Estrutural de Redes Bayesianas

Bayesian networks are powerful tools as they represent probability distributions as graphs. They work with uncertainties of real systems. Since last decade there is a special interest in learning network structures from data. However learning the best network structure is a NP-Hard problem, so many heuristics algorithms to generate network structures from data were created. Many of these algorithms use score metrics to generate the network model. This thesis compare three of most used score metrics. The K-2 algorithm and two pattern benchmarks, ASIA and ALARM, were used to carry out the comparison. Results show that score metrics with hyperparameters that strength the tendency to select simpler network structures are better than score metrics with weaker tendency to select simpler network structures for both metrics (Heckerman-Geiger and modified MDL). Heckerman-Geiger Bayesian score metric works better than MDL with large datasets and MDL works better than Heckerman-Geiger with small datasets. The modified MDL gives similar results to Heckerman-Geiger for large datasets and close results to MDL for small datasets with stronger tendency to select simpler network structures

Métricas de sistemas de middleware orientado a aspectos e Aplicação em um sistema de monitoramento de Poços de Petróleo

Nowadays, there are many aspect-oriented middleware implementations that take advantage of the modularity provided by the aspect oriented paradigm. Although the works always present an assessment of the middleware according to some quality attribute, there is not a specific set of metrics to assess them in a comprehensive way, following various quality attributes. This work aims to propose a suite of metrics for the assessment of aspect-oriented middleware systems at different development stages: design, refactoring, implementation and runtime. The work presents the metrics and how they are applied at each development stage. The suite is composed of metrics associated to static properties (modularity, maintainability, reusability, exibility, complexity, stability, and size) and dynamic properties (performance and memory consumption). Such metrics are based on existing assessment approaches of object-oriented and aspect-oriented systems. The proposed metrics are used in the context of OiL (Orb in Lua), a middleware based on CORBA and implemented in Lua, and AO-OiL, the refactoring of OIL that follows a reference architecture for aspect-oriented middleware systems. The case study performed in OiL and AO-OiL is a system for monitoring of oil wells. This work also presents the CoMeTA-Lua tool to automate the collection of coupling and size metrics in Lua source code

Monitoramento de hosts em redes tcp/ip sobre base georreferenciada com métricas de qualidade

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Sílabas métricas em Terenciano Mauro, De Syllabis, 997-1299

This monograph addresses to the study of Latin metrical notions and concepts as showed in the volume VI of Heinrich Keil’s work, entitled Grammatici Latini (GL): Scriptores Artis Metricae. From that book, it was chosen Terentianus Maurus’s work for corpus, particularly the excerpt between verses 997 and 1299 of De Syllabis, a part of Terentianus’s De Litteris, De Syllabis, De Metris, which is a metric manual written in verses. Until now, there are only three translations of that text into modern languages: two in Italian (one of them was used for comparison with the translation prepared for this monograph) and a French one. That work still contains many reference notes whenever Terentianus Maurus uses ancient authors to demonstrate his explanations on Metrics. Thus this research intends to join in other analysis made on Latin metrical manuals that have already been translated or are still going to be, as well as to notice the importance and the specific value of meter in ancient poetry

Otimização de portfólio utilizando como métricas de retorno medidas de posição central

This paper consists in applying the Modern Theory of Portfolio (MPT) using central position measurements for modeling the return on investment fund of a renowned financial institution and compare with the Medium- CVaR model. The measurement of risks and returns becomes increasingly important for investors to minimize their losses to maximize thus their possibilities of earnings, taking into account sudden change scenarios. We present concepts of investment funds used as data and research on central position measurements to determine which measure was more suitable. To assemble the Efficient Frontier of assets considering the method proposed measure of central position-CVaR position is used MatLab. Then, after getting the Frontier, it was possible to compare it with the Medium-CVaR model, already proven effective. Finally, we analyze the viability of the proposed model in portfolio management

Identidade das Ciências Humanas e métricas de avaliação: qualis periódicos e classificação de livros

This article aims to discuss the evaluation metrics adopted by Capes in the evaluation process of national graduate programs in the field of the Human Sciences, especially with respect to the classifications of scientific journals and books.

Em busca de novas métricas de avaliação da produção científica em ciências da comunicação

A busca da comunidade científica por melhores posições e maiores reconhecimentos, junto a sociedade científica e agências de fomento nacionais e internacionais, sempre esteve atrelada ao sistema de avaliação de sua produção. Portanto, conhecer os fluxos da comunicação científica, desvendar os mecanismos existentes para a qualificação da ciência e implementar mecanismos e ferramentas para a obtenção de indicadores e parâmetros que possibilitem o mapeamento por áreas específicas do conhecimento, tem sido foco de estudos já há muito tempo. Como resultados surgem dois movimentos internacionais: Open Archives Initiative (OAI) e Open Access (OA), ambos oferecendo maiores e distintas oportunidades de se revisar os atuais critérios de qualidade. Observando-se especificamente a área das ciências da comunicação brasileira, várias indagações se tornam relevantes: Qual o impacto da produção científica brasileira da área de Ciências da Comunicação? Quais mecanismos de medição estão disponíveis nesta área e como tem sido feita a avaliação desta produção brasileira pela comunidade científica nacional e internacional? O que tem sido feito para melhoria da área em termos nacionais? Como garantir a visibilidade e a acessibilidade desta produção e ainda possibilitar a produção de novos indicadores bibliométricos e infométricos? Quais serviços se encontram disponíveis hoje e como se apresentam seus resultados? Este artigo visa trazer uma discussão epistemológica sobre o modelo internacional de avaliação da produção científica adotado pelo Brasil, de modo a contextualizar e problematizar a situação específica de uma subárea das ciências sociais aplicadas, qual seja a ciências da comunicação, e buscar novas opções em relação a indicadores e métricas de avaliação da produção científica da área. Para tanto, sumariza as principais idéias e pontos relevantes para responder cada uma das questões básicas enunciadas anteriormente, evidencia algumas das possibilidades e iniciativas disponíveis hoje em distintos países e aponta iniciativas brasileiras que buscam incluir a área de ciências da comunicação brasileira no contexto científico nacional e internacional.

Repositorios institucionales de acceso abierto : Tendencias y perspectivas en métricas de uso, visibilidad e impacto de la producción académica

Fil: González, Claudia. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación. Instituto de Investigaciones en Humanidades y Ciencias Sociales (UNLP-CONICET); Argentina.

Aplicaciones métricas de Google Scholar para la evaluación del impacto científico.

La aparición de Google Scholar en 2004 supuso una revolución tanto en los procesos de búsqueda de información académica como en los de evaluación científica (especialmente en las áreas de las Ciencias sociales y humanas) gracias a su ingente base de datos, basada en la recopilación de cualquier documento académico online, a pesar de los errores e imprecisiones existentes en la correcta vinculación de citas. Este trabajo presenta la elaboración de diferentes productos métricos de información elaborados a partir de Google Scholar (H Index Scholar, Publishers Scholar Metrics, Journal Scholar Metrics, La Biblioteconomía Española según Google Scholar Citations) con el propósito de mostrar la potencialidad y utilidad de esta base de datos a la hora de ser utilizada por los diferentes actores involucrados en la creación, difusión y evaluación de la actividad científica.