The main objective of this research was to evaluate the performance of the sewage treatment plant (stp) of Santa Fe do Sul in the different climatic seasons. A bathymetric survey of the anaerobic and facultative lagoons was carried out to determine the sludge accumulation profiles and estimate the hydraulic retention time of the units; Three-stage monitoring of the raw sewage and the ponds’ effluents for 3-months long each was carried out. The average removal of the biochemical oxygen demand (bod) was 78.6 %, lower than the minimum efficiency allowed by the current Brazilian legislation; the amount of fecal coliforms (fc) and the settleable solids volume exceeded the permitted values by the regulation. The stp needs maintenance on the anaerobic lagoon and a post-treatment system to guarantee additional bod, fc and solids removal on the final effluent.

The objective of this investigation is to propose a model using dynamic systems about determinants of the construction sector in Colombia assuming that such behavior is cyclical. The indicators used to track the cyclical behavior includes: interest rate for housing loans, number of building permits requested, number of houses built and number of credits approved by the banking system, among others. From these data and statistical analysis, the housing deficit and the growth in the share of construction activity in the gross domestic product (gdp) of Colombia is quantified.

Wireless sensor networks (wsn) are widely used to monitor variables of interest in phenomena such as crop fields. In such a context the inclusion of a wsn strengthens the task of precision agriculture. For networks used in precision agriculture design challenges have emerged, like the need to achieve longevity for sensor nodes (serving as a data source), of not less than six months, corresponding to the cultivation periods. Previous works say that the routing technique used in wireless sensor networks is a high incidence factor in its longevity. In this paper, mor4wsn, a routing proposal coming from the adaptation of a multi-objective genetic algorithm (moga) approach is presented. mor4wsn creates tree structures from wsn deployment for proper routing to preserve the longevity in a wsn. Preliminary evaluation shows promising results.

Precision agriculture is a farming management concept, based on the crop variability in the field; it comprises several stages: data collection, information processing and decision-making. After an extensive review of the literature, it appears that data quality control is an important process in precision agriculture and can be considered in the data collection process. This paper makes an approach to data architecture quality control by applying the contextual information of the acquisition system (sad) and environment context information. This approach can provide the sad the capability to understand the situations of their environment in order to improve the quality of data for decision-making.

In this research paper, we propose a methodology to measure the financial risk in non-financial companies exposed to variables such as mortality and morbidity rates. The developed methodology includes elements from actuarial literature, financial economics and copulation theory. The methodology focuses on the measurement of the underlying risk to demographic factors and allows to simplify the information needed for its calculation. Finally, the methodology is validated by applying the financial risk measurement on a funeral insurance company.

The efficient use of spectrum has become an active research area, due to its scarcity and underutilization. In a spectrum sharing scenario as Cognitive Radio (CR), the vacancy of licensed frequency bands could be detected by a secondary user through spectrum sensing techniques. Usually, this sensing approaches are performed with a priori knowledge of the channel features. In the present work, a blind spectrum sensing approach based on Independent Component Analysis and Singular Spectrum Analysis is proposed. The approach is tested and compared with other outcomes. Results show that the proposed scheme is capable of detect most of the sources with low time consumption, which is a remarkable aspect for online applications with demanding time issues.

Traditional Model Driven Software Development (mdsd) approaches have traditionally been based on the functional view and have yielded positive results in recent years; however, they present support restrictions for generation in multiple platforms. This article proposes a multi-view approach for mdsd that allows to model the platform (views, logics and physics of a software system) in such way that software architectures may be expressed and reused by using models.

The Model-Driven Engineering (mde) paradigm promotes the usage of conceptual models in information systems (is) engineering and research. As engineering products, conceptual models must have quality, which applies on both conceptual models and modeling language employed to build them. This paper presents a modeling language quality evaluation framework. This framework uses the principles from the popular Zachman framework for information systems as a taxonomic tool applied over modeling rtifacts used in an information system development. The purpose of this taxonomic tool is to perform analytic procedures that are aligned with an is reference architecture and ontological reasoning. Throughout this work, we describe how the Zachman framework supports analytics over modeling languages for quality purposes by its native management of semantics.