965 resultados para Smart System
Resumo:
Os computadores e os jogos de consola, são um vocabulário bem comum dos jovens e das crianças de hoje. No entanto, na maior parte das escolas, o processo de ensino-aprendizagem continua a ser feito da forma tradicional através do recurso aos quadros pretos e aos cadernos. Este projecto pretende mostrar que, se as aulas forem dadas de uma forma mais interactiva, as crianças estarão mais motivadas e consequentemente a taxa de aprendizagem terá tendência a aumentar. Pretende-se então, utilizar a tecnologia – a Realidade Aumentada, acreditando que será uma mais valia para o ensino, pois permite estabelecer novas relações com o saber, ultrapassando os limites dos materiais tradicionais e contribuindo para a diminuição da distância entre os alunos e o conhecimento.
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Neuro-evolutive development from birth until the age of six years is a decisive factor in a child?s quality of life. Early detection of development disorders in early childhood can facilitate necessary diagnosis and/or treatment. Primary-care pediatricians play a key role in its detection as they can undertake the preventive and therapeutic actions requested to promote a child?s optimal development. However, the lack of time and little specific knowledge at primary-care avoid to applying continuous early-detection anomalies procedures. This research paper focuses on the deployment and evaluation of a smart system that enhances the screening of language disorders in primary care. Pediatricians get support to proceed with early referral of language disorders. The proposed model provides them with a decision-support tool for referral actions to trigger essential diagnostic and/or therapeutic actions for a comprehensive individual development. The research was conducted by starting from a sample of 60 cases of children with language disorders. Validation was carried out through two complementary steps: first, by including a team of seven experts from the fields of neonatology, pediatrics, neurology and language therapy, and, second, through the evaluation of 21 more previously diagnosed cases. The results obtained show that therapist positively accepted the system proposal in 18 cases (86%) and suggested system redesign for single referral to a speech therapist in three remaining cases.
Resumo:
This work involved the development of a smart system dedicated to surface burning detection in the grinding process through constant monitoring of the process by acoustic emission and electrical power signals. A program in Visual Basic® for Windows® was developed, which collects the signals through an analog-digital converter and further processes them using burning detection algorithms already known. Three other parameters are proposed here and a comparative study carried out. When burning occurs, the newly developed software program sends a control signal warning the operator or interrupting the process, and delivers process information via the Internet. Parallel to this, the user can also interfere in the process via Internet, changing parameters and/or monitoring the grinding process. The findings of a comparative study of the various parameters are also discussed here. Copyright © 2006 by ABCM.
DESIGN AND IMPLEMENT DYNAMIC PROGRAMMING BASED DISCRETE POWER LEVEL SMART HOME SCHEDULING USING FPGA
Resumo:
With the development and capabilities of the Smart Home system, people today are entering an era in which household appliances are no longer just controlled by people, but also operated by a Smart System. This results in a more efficient, convenient, comfortable, and environmentally friendly living environment. A critical part of the Smart Home system is Home Automation, which means that there is a Micro-Controller Unit (MCU) to control all the household appliances and schedule their operating times. This reduces electricity bills by shifting amounts of power consumption from the on-peak hour consumption to the off-peak hour consumption, in terms of different “hour price”. In this paper, we propose an algorithm for scheduling multi-user power consumption and implement it on an FPGA board, using it as the MCU. This algorithm for discrete power level tasks scheduling is based on dynamic programming, which could find a scheduling solution close to the optimal one. We chose FPGA as our system’s controller because FPGA has low complexity, parallel processing capability, a large amount of I/O interface for further development and is programmable on both software and hardware. In conclusion, it costs little time running on FPGA board and the solution obtained is good enough for the consumers.
Resumo:
There is an increasing tendency of turning the current power grid, essentially unaware of variations in electricity demand and scattered energy sources, into something capable of bringing a degree of intelligence by using tools strongly related to information and communication technologies, thus turning into the so-called Smart Grid. In fact, it could be considered that the Smart Grid is an extensive smart system that spreads throughout any area where power is required, providing a significant optimization in energy generation, storage and consumption. However, the information that must be treated to accomplish these tasks is challenging both in terms of complexity (semantic features, distributed systems, suitable hardware) and quantity (consumption data, generation data, forecasting functionalities, service reporting), since the different energy beneficiaries are prone to be heterogeneous, as the nature of their own activities is. This paper presents a proposal on how to deal with these issues by using a semantic middleware architecture that integrates different components focused on specific tasks, and how it is used to handle information at every level and satisfy end user requests.
Resumo:
I-SMART is an Internet-based client management system that allows the State of Iowa and its licensed substance abuse treatment providers to administer, manage and provide cost efficient and quality substance abuse assessment and treatment services. Implementation of the I-SMART System is a key product in meeting the federal government requirements for National Outcome Monitoring System (NOMS).
Resumo:
Le but essentiel de notre travail a été d?étudier la capacité du foie, premier organe de métabolisation des xénobiotiques, à dégrader la cocaïne en présence d?éthanol, à l?aide de deux modèles expérimentaux, à savoir un modèle cellulaire (les hépatocytes de rat en suspension) et un modèle acellulaire (modèle reconstitué in vitro à partir d?enzymes purifiées de foie humain). La première partie a pour objectifs de rechercher les voies de métabolisation de la cocaïne qui sont inhibées et / ou stimulées en présence d?éthanol, sur hépatocytes isolés de rat. Dans ce but, une méthode originale permettant de séparer et de quantifier simultanément la cocaïne, le cocaéthylène et huit de leurs métabolites respectifs a été développée par Chromatographie Phase Gazeuse couplée à la Spectrométrie de Masse (CPG / SM). Nos résultats préliminaires indiquent que l?éthanol aux trois concentrations testées (20, 40 et 80 mM) n?a aucun effet sur la cinétique de métabolisation de la cocaïne. Notre étude confirme que l?addition d?éthanol à des cellules hépatiques de rat en suspension supplémentées en cocaïne résulte en la formation précoce de benzoylecgonine et de cocaéthylène. L?apparition retardée d?ecgonine méthyl ester démontre l?activation d?une deuxième voie de détoxification. La production tardive d?ecgonine indique une dégradation de la benzoylecgonine et de l?ecgonine méthyl ester. De plus, la voie d?oxydation intervenant dans l?induction du stress oxydant en produisant de la norcocaïne est tardivement stimulée. Enfin, notre étude montre une métabolisation complète de la concentration initiale en éthanol par les hépatocytes de rat en suspension. La deuxième partie a pour but de déterminer s?il existe d?autres enzymes que les carboxylesterases formes 1 et 2 humaines ayant une capacité à métaboliser la cocaïne seule ou associée à de l?éthanol. Pour ce faire, une méthode de micropurification par chromatographie liquide (Smart System®) a été mise au point. Dans le cadre de nos dosages in situ de la cocaïne, du cocaéthylène, de la benzoylecgonine, de l?acide benzoïque et de la lidocaïne, une technique par Chromatographie Liquide Haute Performance couplée à une Détection par Barrette de Diode (CLHP / DBD) et une méthode de dosage de l?éthanol par Chromatographie Phase Gazeuse couplée à une Détection par Ionisation de Flamme équipée d?un injecteur à espace de tête (espace de tête CPG / DIF) ont été développées. La procédure de purification nous a permis de suspecter la présence d?autres enzymes que les carboxylesterases formes 1 et 2 de foie humain impliquées dans le métabolisme de la cocaïne et déjà isolées. A partir d?un modèle enzymatique reconstitué in vitro, nos résultats préliminaires indiquent que d?autres esterases que les formes 1 et 2 de foie humain sont impliquées dans l?élimination de la cocaïne, produisant benzoylecgonine et ecgonine méthyl ester. De plus, nous avons montré que les sensibilités de ces enzymes à l?éthanol sont variables.<br/><br/>The main purpose of our work was to study the ability of the liver, as the first organ to metabolise xenobiotic substances, to degrade cocaine in the presence of ethanol. In order to do this, we used two experimental models, namely a cellular model (rat liver cells in suspension) and an a-cellular model (model reconstructed in vitro from purified human liver enzymes). The purpose of the first part of our study was to look for cocaine metabolising processes which were inhibited and / or stimulated by the presence of ethanol, in isolated rat liver cells. With this aim in mind, an original method for simultaneously separating and quantifying cocaine, cocaethylene and eight of their respective metabolites was developed by Vapour Phase Chromatography coupled with Mass Spectrometry (VPC / MS). Our preliminary results point out that ethanol at three tested concentrations (20, 40 et 80 mM) have no effect on the kinetic of metabolisation of cocaine. Our study confirms that the addition of alcohol to rat liver cells in suspension, supplemented with cocaine, results in the premature formation of ecgonine benzoyl ester and cocaethylene. The delayed appearance of ecgonine methyl ester shows that a second detoxification process is activated. The delayed production of ecgonine indicates a degradation of the ecgonine benzoyl ester and the ecgonine methyl ester. Moreover, the oxidising process which occurs during the induction of the oxidising stress, producing norcocaine, is stimulated at a late stage. Finally, our study shows the complete metabolisation of the initial alcohol concentration by the rat liver cells in suspension. The second part consisted in determining if enzymes other than human carboxylesterases 1 and 2, able to metabolise cocaine on its own or with alcohol, existed. To do this, a micropurification method us ing liquid phase chromatography (Smart System®) was developed. A technique based on High Performance Liquid Chromatography coupled with a Diode Array Detection (HPLC / DAD) in the in situ proportioning of cocaine, cocaethylene, ecgonine benzoyl ester, benzoic acid and lidocaine, and a method for proportioning alcohol by quantifying the head space using Vapour Phase Chromatography coupled with a Flame Ionisation Detection (head space VPC / FID) were used. The purification procedure pointed to the presence of enzymes other than the human liver carboxylesterases, forms 1 and 2, involved in the metabolism of cocaine and already isolated. The preliminary results drawn from an enzymatic model reconstructed in vitro indicate that human liver carboxylesterases, other than forms 1 and 2, are involved in the elimination of cocaine, producing ecgonine benzoyl ester and ecgonine methyl ester. Moreover, we have shown that the sensitivity of these enzymes to alcohol is variable.
Resumo:
The objective of reservoir engineering is to manage fields of oil production in order to maximize the production of hydrocarbons according to economic and physical restrictions. The deciding of a production strategy is a complex activity involving several variables in the process. Thus, a smart system, which assists in the optimization of the options for developing of the field, is very useful in day-to-day of reservoir engineers. This paper proposes the development of an intelligent system to aid decision making, regarding the optimization of strategies of production in oil fields. The intelligence of this system will be implemented through the use of the technique of reinforcement learning, which is presented as a powerful tool in problems of multi-stage decision. The proposed system will allow the specialist to obtain, in time, a great alternative (or near-optimal) for the development of an oil field known
Resumo:
The public sector performance has received much attention in the literature and due to that the purpose of this work is to develop a proposal for a model of performance measurement for a higher education institution unit. First, we performed a theoretical research on public organizations and private institutions of higher education, followed by a literature review on performance measurement and evaluation. This review presents some performance models that are quite frequent in the literature: Total Quality Management (Total Quality Management) - TQM and the PDCA cycle, SMART System, Balanced Scorecard and Môdef Ouanturn. In order to verify the possibility of implementing a performance measurement model for Higher Education Institutions, it was conducted a case study in a support unit of a University, located in the city of Natal, RN, Brazil. The study attempted to identify the key processes of the unit and proposed by the use of Quantum model in order to improve the management and operation of the same. The work aims to contribute to the advancement of knowledge in measurement and performance evaluation in higher education institutions that where still lacks scientific production of this subject compared to other areas. This study also identifies better practices and opportunities for improvement in processes to determine the expected performance indicators to aid a decision-making unit.
Resumo:
This work introduces an innovative urinal for public convenience, that promotes at the same time water reuse and personal higiene, in a safe and economical way . Furthermore it demonstrates the latest technology and its technical and economical viabillity of utilization in new and already existing buildings facilities. This new model of personal higiene equipment offers as main benefits the improved economy with subsequent decrease in drinkable water consumption, sanitary safety, low cost and easy installation due to its simplicity and to the fact that it can be installed in already existing facilities. The proposal is constituted by a higienic, ecological and smart system for flushing of public urinals. It is a conjugated system of lavatory and urinal that reuses hands higienization water from the lavatory for flushing purpose. The proposed urinal can be operated manually or automatically by means of a presential sensor. The system promotes drinkable water economy by a rational utilization by avoiding the use of waste water from hand washing in place of clean water for flushing. The proposed equipment increases the economy of clean water in a simple and economical way and it can be installed in any type of public lavatory facilitie such as schools, public buildings, hospitals, commercial buildings, bus terminals, airports, stadiums, parking buildings and shopping centers. Additional benefits of the proposed system is the suggestion of hands washing before and after the use of the urinal without contamination risks from focet handling.and render more attractive the installation for a rational use of clean water in commercial and industrial buildings. Pay-back has shown to be very attractive for a number of internal return rates and also very attractive from the point of view of environmental protection.
Resumo:
The objective of reservoir engineering is to manage fields of oil production in order to maximize the production of hydrocarbons according to economic and physical restrictions. The deciding of a production strategy is a complex activity involving several variables in the process. Thus, a smart system, which assists in the optimization of the options for developing of the field, is very useful in day-to-day of reservoir engineers. This paper proposes the development of an intelligent system to aid decision making, regarding the optimization of strategies of production in oil fields. The intelligence of this system will be implemented through the use of the technique of reinforcement learning, which is presented as a powerful tool in problems of multi-stage decision. The proposed system will allow the specialist to obtain, in time, a great alternative (or near-optimal) for the development of an oil field known
Resumo:
In this work is proposed the design of a system to create and handle Electric Vehicles (EV) charging procedures, based on intelligent process. Due to the electrical power distribution network limitation and absence of smart meter devices, Electric Vehicles charging should be performed in a balanced way, taking into account past experience, weather information based on data mining, and simulation approaches. In order to allow information exchange and to help user mobility, it was also created a mobile application to assist the EV driver on these processes. This proposed Smart ElectricVehicle Charging System uses Vehicle-to-Grid (V2G) technology, in order to connect Electric Vehicles and also renewable energy sources to Smart Grids (SG). This system also explores the new paradigm of Electrical Markets (EM), with deregulation of electricity production and use, in order to obtain the best conditions for commercializing electrical energy.
Resumo:
The large increase of distributed energy resources, including distributed generation, storage systems and demand response, especially in distribution networks, makes the management of the available resources a more complex and crucial process. With wind based generation gaining relevance, in terms of the generation mix, the fact that wind forecasting accuracy rapidly drops with the increase of the forecast anticipation time requires to undertake short-term and very short-term re-scheduling so the final implemented solution enables the lowest possible operation costs. This paper proposes a methodology for energy resource scheduling in smart grids, considering day ahead, hour ahead and five minutes ahead scheduling. The short-term scheduling, undertaken five minutes ahead, takes advantage of the high accuracy of the very-short term wind forecasting providing the user with more efficient scheduling solutions. The proposed method uses a Genetic Algorithm based approach for optimization that is able to cope with the hard execution time constraint of short-term scheduling. Realistic power system simulation, based on PSCAD , is used to validate the obtained solutions. The paper includes a case study with a 33 bus distribution network with high penetration of distributed energy resources implemented in PSCAD .
Resumo:
This paper develops an energy management system with integration of smart meters for electricity consumers in a smart grid context. The integration of two types of smart meters (SM) are developed: (i) consumer owned SM and (ii) distributor owned SM. The consumer owned SM runs over a wireless platform - ZigBee protocol and the distributor owned SM uses the wired environment - ModBus protocol. The SM are connected to a SCADA system (Supervisory Control And Data Acquisition) that supervises a network of Programmable Logic Controllers (PLC). The SCADA system/PLC network integrates different types of information coming from several technologies present in modern buildings. The developed control strategy implements a hierarchical cascade controller where inner loops are performed by local PLCs, and the outer loop is managed by a centralized SCADA system, which interacts with the entire local PLC network. In order to implement advanced controllers, a communication channel was developed to allow the communication between the SCADA system and the MATLAB software. (C) 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Resumo:
A distributed, agent-based intelligent system models and simulates a smart grid using physical players and computationally simulated agents. The proposed system can assess the impact of demand response programs.