Optimal selection of soft sensor inputs for batch distillation columns using principal component analysis

In this paper, a novel methodology based on principal component analysis (PCA) is proposed to select the most suitable secondary process variables to be used as soft sensor inputs. In the proposed approach, a matrix is defined that measures the instantaneous sensitivity of each secondary variable to the primary variables to be estimated. The most sensitive secondary variables are then extracted from this matrix by exploiting the properties of PCA, and they are used as input variables for the development of a regression model suitable for on-line implementation.This method has been evaluated by developing a soft sensor that uses temperature measurements and a process regression model to estimate on-line the product compositions for a simulated batch distillation process. The identification of the optimal soft sensor inputs for this case study has been discussed with respect to the definition of the sensitivity matrix, the data sampling interval, the presence of measurement noise, and the size of the input set. The simulation results demonstrate that the proposed approach can effectively identify the size and configuration of the input set that leads to the optimal estimation performance of the soft sensor.     

Removal of Inorganic Mercury from Polluted Water Using Structured Nanoparticles

This paper presents a process for the removal of inorganic mercury from aqueous solutions using alumina nanoparticles, which were prepared by the sol-gel method. Different amounts of mercury were added to the particles until a critical concentration was achieved, thus inducing the alumina sol flocculation. Particle growth was monitored during the process using dynamic light scattering. The amount of metal ion adsorbed on the surface of the alumina sols was determined by atomic absorption spectroscopy. Initial mercury concentrations ranging between 50 and 100 ppm decreased to below 1 ppb in a short time.     

On the Expressive Power of Temporal Concurrent Constraint Programming Languages: (invited talk)

The tcc paradigm is a formalism for timed concurrent constraint programming. Several tcc languages differing in their way of expressing infinite behavior have been proposed in the literature. In this work we study the expressive power of some of these languages. In particular, we show that: (1) recursive procedures with parameters can be encoded into parameterless recursive procedures with dynamic scoping, and viceversa. (2) replication can be encoded into parameterless recursive procedures with static scoping, and viceversa. (3) the languages from (1) are strictly more expressive than the languages from (2). Furthermore, we show that behavioral equivalence is undecidable for the languages from (1), but decidable for the languages from (2). The undecidability result holds even if the process variables take values from a fixed finite domain.(Joint work with Mogens Nielsen and Frank D. Valencia)     

Family status, family constellation, and home environmental variables as predictors of cognitive performance of Mexican American children.

Examined the relative contributions of several family status variables (child and parental language, parental schooling attainment and location, and SES), a family constellation variable (family size), and the Henderson Environmental Learning Process Scale (HELPS) to the prediction of cognitive performance among 140 Mexican-American preschool children (aged 38–71 mo) from low-income backgrounds. Ss were administered the McCarthy Scales of Childrens' Abilities (MSCA). A factor analysis of the family status and constellation variables produced 3 factors. The General Cognitive Index (GCI) of the MSCA was predicted by multiple regression procedures. The 3 status/constellation factors and HELPS served as independent variables. As hypothesized, the best predictor of GCI was HELPS. A Language/Schooling factor made an additional significant contribution to the explained variance. The theoretical and practical implications of including proximal as well as distal background variables in future research on relations between family characteristics and intellectual performance are discussed. (43 ref) (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Dietary fiber potential in Iberian-American countries: food,products and residues

The reduced intake of dietary fiber (DF) has been associated with the increase in the incidence of several non-transmissible chronic diseases. Recently many researchers from Iberian-American countries have been studying DF of food and industrial residues in order to improve technological knowledge about concentrates production as well as the development and test of enriched products originated from regional food. The present study aimed to evaluate the regional DF potential based on compilation of data about this nutrient. There is great availability of regional and traditional food with considerable DF amounts as we may find in fruits, vegetables and cereals and legumes. Concentrated sources of DF obtained from different industrial residues were characterized and evaluated making possible their utilization in food enrichment. Cookies added to corn residues (16.8% DF in integral weight) in Colombia, and pasta added to lupine fiber in Chile (11.2%) are examples of tested enriched products. Products like bread with whole wheat (12%), products for especial uses as well as pills of citric DF (55%) and food for enteral diets (1-1.9%) are already available on Cuba market. The dietary fiber contents presented in this work allow us to have an idea of the potential of such nutrient in Iberian-American countries. Such potential has been proved to be considerably representative. It is worth to inform that the complete DF database is available on the CYTED X1.6/CNPq Project Web site (http://www.fcf.usp.br/cytedxi16). It provides data on 817 regional, traditional and not conventional foods, that can be searched and utilized by professional from different areas.     

Enhancing the experience of 3D virtual worlds with a cartographic generalization approach

In this work we propose a new approach for fast visualization and exploration of virtual worlds based on the use of cartographic concepts and techniques. Versions of cartographic maps with different levels of details can be created by using a set of operations named cartographic generalization. Cartographic generalization employs twelve operators and domain-specific knowledge, being the contribution of this work their transposition to 3D virtual worlds. The architecture of a system for 3D generalization is proposed and the system is implemented. Differently from traditional cartographic processes, we use artificial intelligence for both selecting the key objects and applying the operators. As a case study, we present the simplification of the historical quarter of Recife (Brazil).     

RAYLEIGH-BÉNARD CONVECTION OF WATER IN A PERFECTLY CONDUCTING CUBICAL CAVITY: EFFECTS OF TEMPERATURE-DEPENDENT PHYSICAL PROPERTIES IN LAMINAR AND TURBULENT REGIMES

ABSTRACT

The effects of a non-Boussinesq fluid are discussed for Rayleigh-Bénard convection in a cubical cavity with perfectly conducting side walls at low and high Rayleigh numbers using water as a convecting fluid. Non-Boussinesq simulations were calculated with a variation of 62% and 40% of the thermal expansion coefficient and viscosity, respectively, between cold and hot plates. These variations are well above the 10% usually accepted to consider the Boussinesq approximation. The overall laminar and turbulent flow topologies obtained are not significantly affected by the effects of the physical properties variation with temperature.     

The impact of European bioinformatics

Europe is undergoing a political integration process, the goals of which are still under discussion. Some countries, such as Germany, France, Italy, Spain, Holland, and Belgium, have coordinated aspects of their economy, including a common currency, under the administration of the European Commission. Key countries such as the UK and Denmark are still undecided about their degree of participation, and others, including most of the former Eastern-block countries, are actively seeking integration. The EC has limited power in equilibrium with the European parliament and national and regional governments. Direct funding of the sciences was not included in the EC's mandate. It was considered a strategic responsibility of the national governments. This political concept evolved into new modes of collaboration between countries and the EC. Bioinformatics could be a key area for these developments, because, if properly coordinated, it has great potential for generating added value to the new genomics and proteomic technology. Currently, some bioinformatics-related research is funded as networks of groups from separate countries, and others are funded as basic research services, such as databases. For example, the E-Biosci project, coordinated by the European Molecular Biology Laboratory as a large research institution, includes the participation of groups from different countries and one or two medium-sized companies. Other computational science and telecommunications-related programs are rarely accessible to the bioinformatics community.