Water supply and sanitation for the poor: the achievements of the International Drinking Water Supply and Sanitation Decade in Latin America and the Caribbean = Abastecimiento de agua y saneamiento ambiental para los pobres: los logros del Decenio Internacional del Agua Potable y del Saneamiento Ambiental en América Latina y el Caribe

Incluye Bibliografía

Guía revisada para la cooperación técnica entre países en desarrollo (CTPD): oferta y directorio de instituciones = Revised guide to technical co-operation among developing countries (TCDC): supply and directory of institutions

Publicación bilingüe

ICTs and information management (IM) in commercial agriculture: contributions from an evolutionary approach

Includes bibliography

Abastecimiento de agua potable y el saneamiento ambiental para la población rural dispersa en América Latina = Drinking water supply and sanitation for the dispersed rural population in Latin America

Incluye Bibliografía

Changes in maritime transport supply and demand

This FAL bulletin reviews changes in water transport supply and demand in three markets: containers, dry bulk and liquid cargo (dirty and clean) over the past several years.

The software and information technology services industry: An opportunity for the economic autonomy of women in Latin America

The objective of this report is to understand the rationality that underpins public and business policies for promoting the IT and SIS industries and to determine whether they incorporate gender equality and/or provide incentives for women’s participation. The report also explores how this group of women is symbolically constructed within the firms, what issues are emphasized by the women themselves and what solutions or resources they propose for overcoming the problems. It then contrasts this discourse and intervention with the experiences, visions and demands of women leaders in the SIS sector. For this purpose, the policies, programmes and best practices of Europe are analysed and compared with instruments currently in place in Latin America and the Caribbean, in terms of their specific characteristics and degree of progress. Special attention is given to the cases of Argentina, Costa Rica and Colombia.

Tool Condition Monitoring of Single-Point Dresser Using Acoustic Emission and Neural Networks Models

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

Detection of trace levels of atrazine using surface-enhanced Raman scattering and information visualization

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

Automatic Indexing and Information Visualization: A Study Based on Paraconsistent Logic

This paper reports a research to evaluate the potential and the effects of use of annotated Paraconsistent logic in automatic indexing. This logic attempts to deal with contradictions, concerned with studying and developing inconsistency-tolerant systems of logic. This logic, being flexible and containing logical states that go beyond the dichotomies yes and no, permits to advance the hypothesis that the results of indexing could be better than those obtained by traditional methods. Interactions between different disciplines, as information retrieval, automatic indexing, information visualization, and nonclassical logics were considered in this research. From the methodological point of view, an algorithm for treatment of uncertainty and imprecision, developed under the Paraconsistent logic, was used to modify the values of the weights assigned to indexing terms of the text collections. The tests were performed on an information visualization system named Projection Explorer (PEx), created at Institute of Mathematics and Computer Science (ICMC - USP Sao Carlos), with available source code. PEx uses traditional vector space model to represent documents of a collection. The results were evaluated by criteria built in the information visualization system itself, and demonstrated measurable gains in the quality of the displays, confirming the hypothesis that the use of the para-analyser under the conditions of the experiment has the ability to generate more effective clusters of similar documents. This is a point that draws attention, since the constitution of more significant clusters can be used to enhance information indexing and retrieval. It can be argued that the adoption of non-dichotomous (non-exclusive) parameters provides new possibilities to relate similar information.

Complexity and information technologies: an ethical inquiry into human autonomous action

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

Entropy effect in quantum computing and information: an open-source environment simulation

The technologies are rapidly developing, but some of them present in the computers, as for instance their processing capacity, are reaching their physical limits. It is up to quantum computation offer solutions to these limitations and issues that may arise. In the field of information security, encryption is of paramount importance, being then the development of quantum methods instead of the classics, given the computational power offered by quantum computing. In the quantum world, the physical states are interrelated, thus occurring phenomenon called entanglement. This study presents both a theoretical essay on the merits of quantum mechanics, computing, information, cryptography and quantum entropy, and some simulations, implementing in C language the effects of entropy of entanglement of photons in a data transmission, using Von Neumann entropy and Tsallis entropy.

Tool condition monitoring of aluminum oxide grinding wheel in dressing operation using acoustic emission and neural networks

The grinding operation gives workpieces their final finish, minimizing surface roughness through the interaction between the abrasive grains of a tool (grinding wheel) and the workpiece. However, excessive grinding wheel wear due to friction renders the tool unsuitable for further use, thus requiring the dressing operation to remove and/or sharpen the cutting edges of the worn grains to render them reusable. The purpose of this study was to monitor the dressing operation using the acoustic emission (AE) signal and statistics derived from this signal, classifying the grinding wheel as sharp or dull by means of artificial neural networks. An aluminum oxide wheel installed on a surface grinding machine, a signal acquisition system, and a single-point dresser were used in the experiments. Tests were performed varying overlap ratios and dressing depths. The root mean square values and two additional statistics were calculated based on the raw AE data. A multilayer perceptron neural network was used with the Levenberg-Marquardt learning algorithm, whose inputs were the aforementioned statistics. The results indicate that this method was successful in classifying the conditions of the grinding wheel in the dressing process, identifying the tool as "sharp''(with cutting capacity) or "dull''(with loss of cutting capacity), thus reducing the time and cost of the operation and minimizing excessive removal of abrasive material from the grinding wheel.