Effective Data Management Enables Intelligent Utility Management

Instrumentation and automation plays a vital role to managing the water industry. These systems generate vast amounts of data that must be effectively managed in order to enable intelligent decision making. Time series data management software, commonly known as data historians are used for collecting and managing real-time (time series) information. More advanced software solutions provide a data infrastructure or utility wide Operations Data Management System (ODMS) that stores, manages, calculates, displays, shares, and integrates data from multiple disparate automation and business systems that are used daily in water utilities. These ODMS solutions are proven and have the ability to manage data from smart water meters to the collaboration of data across third party corporations. This paper focuses on practical, utility successes in the water industry where utility managers are leveraging instantaneous access to data from proven, commercial off-the-shelf ODMS solutions to enable better real-time decision making. Successes include saving $650,000 / year in water loss control, safeguarding water quality, saving millions of dollars in energy management and asset management. Immediate opportunities exist to integrate the research being done in academia with these ODMS solutions in the field and to leverage these successes to utilities around the world.

Optimized Water Demand Management Through Intelligent Sensing And Analytics: The WISDOM Approach

New business and technology platforms are required to sustainably manage urban water resources [1,2]. However, any proposed solutions must be cognisant of security, privacy and other factors that may inhibit adoption and hence impact. The FP7 WISDOM project (funded by the European Commission - GA 619795) aims to achieve a step change in water and energy savings via the integration of innovative Information and Communication Technologies (ICT) frameworks to optimize water distribution networks and to enable change in consumer behavior through innovative demand management and adaptive pricing schemes [1,2,3]. The WISDOM concept centres on the integration of water distribution, sensor monitoring and communication systems coupled with semantic modelling (using ontologies, potentially connected to BIM, to serve as intelligent linkages throughout the entire framework) and control capabilities to provide for near real-time management of urban water resources. Fundamental to this framework are the needs and operational requirements of users and stakeholders at domestic, corporate and city levels and this requires the interoperability of a number of demand and operational models, fed with data from diverse sources such as sensor networks and crowsourced information. This has implications regarding the provenance and trustworthiness of such data and how it can be used in not only the understanding of system and user behaviours, but more importantly in the real-time control of such systems. Adaptive and intelligent analytics will be used to produce decision support systems that will drive the ability to increase the variability of both supply and consumption [3]. This in turn paves the way for adaptive pricing incentives and a greater understanding of the water-energy nexus. This integration is complex and uncertain yet being typical of a cyber-physical system, and its relevance transcends the water resource management domain. The WISDOM framework will be modeled and simulated with initial testing at an experimental facility in France (AQUASIM – a full-scale test-bed facility to study sustainable water management), then deployed and evaluated in in two pilots in Cardiff (UK) and La Spezia (Italy). These demonstrators will evaluate the integrated concept providing insight for wider adoption.

The Apple of His Ire: For monologist Mike Daisey, the death of Steve Jobs was another defining moment in a remarkable career

Monologist Mike Daisey ’96 had been targeting Apple and Steve Jobs for a year. Then Jobs died and Daisey’s show was changed once again.

Next-Generation Advising: Elevating Practice for Degree Completion and Career Success

As competition for applicants, legislative focus on graduation rates, and questions about the lifetime value of a degree intensify, many institutions are blurring boundaries between academic advising and co-curricular and career advising to promote student success and differentiate brand. This report examines how leaders break the trade-off between high-touch service and budget realities, identifying breakthrough practices, as well as the models and technologies required to deliver them in a cost-effective manner.

Career concerns: a human capital perspective

We introduce human capital accumulation, in the form of learning by doing, in a life cycle model of career concerns and analyze how human capital acquisition a ects implicit incentives for performance. We show that standard results from the career concerns literature can be reversed in the presence of human capital accumulation. Namely, implicit incentives need not decrease over time and may decrease with the degree of uncertainty about an individual's talent. Furthermore, increasing the pre-cision of output measurement can weaken rather than strengthen implicit incentives. Overall, our results contribute to shed new light on the ability of markets to discipline moral hazard in the absence of explicit contracts linking pay to performance.

Dreaming up the right career: an exploratory study of the career aspirations of low-income adolescents living in urban São Paulo

No Brasil, os jovens de baixa renda estão propensos ao desemprego, o que é particularmente problemático em uma economia emergente onde a desigualdade de renda é relativamente alta, e onde o desenvolvimento socioeconômico futuro pode depender do crescimento e da estabilidade de uma classe média já vulnerável. Além disso, o desemprego entre os jovens, especialmente em cidades urbanas, está associado a elevada incidência de violência, comportamento ilegal, aumento da desigualdade e instabilidade sociopolítica. Este estudo complementa tentativas existentes de promover as perspectivas de emprego da juventude brasileira, investigando as aspirações profissionais de 25 adolescentes que vivem em comunidades de baixa renda na zona urbana de São Paulo. A pesquisa foi realizada através de grupos de foco durante o período de quatro encontros nas comunidades paulistanas de Vila Albertina, Heliópolis, Vila Prudente e Vila Nova Esperança. Os resultados da pesquisa repetem, em grande parte, o conhecimento existente que diz respeito a adolescentes; eles confirmam o papel importante que o mérito individual, o microambiente e os modelos exemplares (isto é, familiares, colegas e educadores locais) têm de moldar e possibilitar (ou impedir) os planos de carreira de jovens adultos, e destacam a flexibilidade e a diversidade de interesses profissionais nesta faixa etária. Ademais, os resultados revelam atitudes paradoxais face às comunidades de baixa renda em São Paulo. Todos os participantes pareciam empoderados por elementos dentro de seu microambiente, exibiam sentimentos de orgulho e que faziam parte de sua comunidade; porém, muitos pareciam perturbados pela maneira como pessoas de fora estereotipam ou estigmatizam os moradores da "favela". Ao todo, o estudo destaca tendências que sustentam razões para maiores investimentos no desenvolvimento profissional dos jovens de baixa renda. Na qualidade de um ecossistema com potencial para desenvolvimento socioeconômico, as comunidades de baixa renda podem constituir uma fonte rica não apenas de recursos humanos, mas também de oportunidades comerciais e empregos.

General (in-house) counsels in Brazil: career, professional profile and a new role

This paper discusses who the legal directors are in private companies in Brazil, emphasizing their profile, career, and performance, focusing on the period of 2008- 2013, investigating changes which have occurred to legal departments in those companies, and to legal directors’ careers. Our argument is that since the expansion of legal departments in Brazil in the 1990s, with expanding privatizing of companies and further opening of the Brazilian market to foreign capital, the profiles and careers of legal directors have undergone several transformations, culminating in more value and prestige being given to those professionals inside companies. This paper explores these transformations and the a series of implications generated for the corporate legal market in the country, ranging from changing the criteria for hiring professionals, to creating new demands for more sophisticated legal services.

An Intelligent System for Petroleum Well Drilling Cutting Analysis

Cutting analysis is a important and crucial task task to detect and prevent problems during the petroleum well drilling process. Several studies have been developed for drilling inspection, but none of them takes care about analysing the generated cutting at the vibrating shale shakers. Here we proposed a system to analyse the cutting's concentration at the vibrating shale shakers, which can indicate problems during the petroleum well drilling process, such that the collapse of the well borehole walls. Cutting's images are acquired and sent to the data analysis module, which has as the main goal to extract features and to classify frames according to one of three previously classes of cutting's volume. A collection of supervised classifiers were applied in order to allow comparisons about their accuracy and efficiency. We used the Optimum-Path Forest (OPF), Artificial Neural Network using Multi layer Perceptrons (ANN-MLP), Support Vector Machines (SVM) and a Bayesian Classifier (BC) for this task. The first one outperformed all the remaining classifiers. Recall that we are also the first to introduce the OPF classifier in this field of knowledge. Very good results show the robustness of the proposed system, which can be also integrated with other commonly system (Mud-Logging) in order to improve the last one's efficiency.

Application of intelligent systems for specification of automotive equipments using LEDs

The advantages offered by the electronic component light emitting diode ( LED) have caused a quick and wide application of this device in replacement of incandescent lights. However, in its combined application, the relationship between the design variables and the desired effect or result is very complex and it becomes difficult to model by conventional techniques. This work consists of the development of a technique, through artificial neural networks, to make possible to obtain the luminous intensity values of brake lights using LEDs from design data. (C) 2005 Elsevier B.V. All rights reserved.

A novel intelligent system to nitrogen content prediction in plants using indirect chlorophyll measurements

The accurate identification of the nitrogen content in plants is extremely important since it involves economic aspects and environmental impacts, Several experimental tests have been carried out to obtain characteristics and parameters associated with the health of plants and its growing. The nitrogen content identification in plants involves a lot of non-linear parameters and complexes mathematical models. This paper describes a novel approach for identification of nitrogen content thought SPAD index using artificial neural networks (ANN). The network acts as identifier of relationships among, crop varieties, fertilizer treatments, type of leaf and nitrogen content in the plants (target). So, nitrogen content can be generalized and estimated and from an input parameter set. This approach can form the basis for development of an accurate real time system to predict nitrogen content in plants.

Design of a reconfigurable pseudorandom number generator for use in intelligent systems

This paper deals with the design of a network-on-chip reconfigurable pseudorandom number generation unit that can map and execute meta-heuristic algorithms in hardware. The unit can be configured to implement one of the following five linear generator algorithms: a multiplicative congruential, a mixed congruential, a standard multiple recursive, a mixed multiple recursive, and a multiply-with-carry. The generation unit can be used both as a pseudorandom and a message passing-based server, which is able to produce pseudorandom numbers on demand, sending them to the network-on-chip blocks that originate the service request. The generator architecture has been mapped to a field programmable gate array, and showed that millions of numbers in 32-, 64-, 96-, or 128-bit formats can be produced in tens of milliseconds. (C) 2011 Elsevier B.V. All rights reserved.