973 resultados para Ferramenta de monitoramento
Resumo:
Cloud Computing is a paradigm that enables the access, in a simple and pervasive way, through the network, to shared and configurable computing resources. Such resources can be offered on demand to users in a pay-per-use model. With the advance of this paradigm, a single service offered by a cloud platform might not be enough to meet all the requirements of clients. Ergo, it is needed to compose services provided by different cloud platforms. However, current cloud platforms are not implemented using common standards, each one has its own APIs and development tools, which is a barrier for composing different services. In this context, the Cloud Integrator, a service-oriented middleware platform, provides an environment to facilitate the development and execution of multi-cloud applications. The applications are compositions of services, from different cloud platforms and, represented by abstract workflows. However, Cloud Integrator has some limitations, such as: (i) applications are locally executed; (ii) users cannot specify the application in terms of its inputs and outputs, and; (iii) experienced users cannot directly determine the concrete Web services that will perform the workflow. In order to deal with such limitations, this work proposes Cloud Stratus, a middleware platform that extends Cloud Integrator and offers different ways to specify an application: as an abstract workflow or a complete/partial execution flow. The platform enables the application deployment in cloud virtual machines, so that several users can access it through the Internet. It also supports the access and management of virtual machines in different cloud platforms and provides services monitoring mechanisms and assessment of QoS parameters. Cloud Stratus was validated through a case study that consists of an application that uses different services provided by different cloud platforms. Cloud Stratus was also evaluated through computing experiments that analyze the performance of its processes.
Resumo:
Nowadays wireless communication has emerged as a tendency in industry environments. In part this interest is due to the ease of deployment and maintenance, which dispenses sophisticated designs and wired infrastructure (which in industrial environment often prohibitively expensive) besides enabling the addition of new applications when compared to their wired counterparts. Despite its high degree of applicability, an industrial wireless sensor network faces some challenges. One of the most challenging problems are its reliability, energy consumption and the environment interference. In this dissertation will discuss the problem of asset analysis in wireless industrial networks for the WirelessHART standard by implementing a monitoring system. The system allows to carry out various activities of independent asset management manufacturers, such as prediction of battery life, maintenance, reliability data, topology, and the possibility of creating new metrics from open and standardized development libraries. Through the implementation of this tool is intended to contribute to integration of wireless technologies in industrial environments.
Resumo:
Heavy metals are present in industrial waste. These metals can generate a large environmental impact contaminating water, soil and plants. The chemical action of heavy metals has attracted environmental interest. In this context, this study aimed to test t he performance of electrochemical technologies for removing and quantifying heavy metals. First ly , the electroanalytical technique of stripping voltammetry with glassy carbon electrode (GC) was standardized in order to use this method for the quantificatio n of metals during their removal by electrocoagulation process (EC). A nalytical curves were evaluated to obtain reliability of the determin ation and quantification of Cd 2+ and Pb 2+ separately or in a mixture. Meanwhile , EC process was developed using an el ectrochemical cell in a continuous flow (EFC) for removing Pb 2+ and Cd 2+ . The se experiments were performed using Al parallel plates with 10 cm of diameter ( 63.5 cm 2 ) . The optimization of conditions for removing Pb 2+ and Cd 2+ , dissolved in 2 L of solution at 151 L h - 1 , were studied by applying different values of current for 30 min. Cd 2+ and Pb 2+ concentrations were monitored during electrolysis using stripping voltammetry. The results showed that the removal of Pb 2 + was effective when the EC pro cess is used, obtaining removals of 98% in 30 min. This behavior is dependent on the applied current, which implies an increase in power consumption. From the results also verified that the stripping voltammetry technique is quite reliable deter mining Pb 2+ concentration , when compared with the measurements obtained by atomic absorption method (AA). In view of this, t he second objective of this study was to evaluate the removal of Cd 2+ and Pb 2+ (mixture solution) by EC . Removal efficiency increasing current was confirmed when 93% and 100% of Cd 2+ and Pb 2+ was removed after 30 min . The increase in the current promotes the oxidation of sacrificial electrodes, and consequently increased amount of coagulant, which influences the removal of heavy metals in solution. Adsortive voltammetry is a fast, reliable, economical and simple way to determine Cd 2+ and Pb 2+ during their removal. I t is more economical than those normally used, which require the use of toxic and expensive reagents. Our results demonstrated the potential use of electroanalytical techniques to monitor the course of environmental interventions. Thus, the application of the two techniques associated can be a reliable way to monitor environmental impacts due to the pollution of aquatic ecosystems by heavy metals.
Resumo:
Actually, Brazil is one of the larger fruit producer worldwide, with most of its production being consumed in nature way or either as juice or pulp. It is important to highlig ht in the fruit productive chain there are a lot lose due mainly to climate reasons, as well as storage, transportation, season, market, etc. It is known that in the pulp and fruit processing industy a yield of 50% (in mass) is usually obtained, with the other part discarded as waste. However, since most this waste has a high nutrient content it can be used to generate added - value products. In this case, drying plays an important role as an alternative process in order to improve these wastes generated by the fruit industry. However, despite the advantage of using this technique in order to improve such wastes, issues as a higher power demand as well as the thermal efficiency limitation should be addressed. Therefore, the control of the main variables in t his drying process is quite important in order to obtain operational conditions to produce a final product with the target specification as well as with a lower power cost. M athematical models can be applied to this process as a tool in order to optimize t he best conditions. The main aim of this work was to evaluate the drying behaviour of a guava industrial pulp waste using a batch system with a convective - tray dryer both experimentally and using mathematical modeling. In the experimental study , the dryin g carried out using a group of trays as well as the power consume were assayed as response to the effects of operational conditions (temperature, drying air flow rate and solid mass). Obtained results allowed observing the most significant variables in the process. On the other hand, the phenomenological mathematical model was validated and allowed to follow the moisture profile as well as the temperature in the solid and gas phases in every tray. Simulation results showed the most favorable procedure to o btain the minimum processing time as well as the lower power demand.
Resumo:
Wireless sensor networks (WSN) have gained ground in the industrial environment, due to the possibility of connecting points of information that were inaccessible to wired networks. However, there are several challenges in the implementation and acceptance of this technology in the industrial environment, one of them the guaranteed availability of information, which can be influenced by various parameters, such as path stability and power consumption of the field device. As such, in this work was developed a tool to evaluate and infer parameters of wireless industrial networks based on the WirelessHART and ISA 100.11a protocols. The tool allows quantitative evaluation, qualitative evaluation and evaluation by inference during a given time of the operating network. The quantitative and qualitative evaluation are based on own definitions of parameters, such as the parameter of stability, or based on descriptive statistics, such as mean, standard deviation and box plots. In the evaluation by inference uses the intelligent technique artificial neural networks to infer some network parameters such as battery life. Finally, it displays the results of use the tool in different scenarios networks, as topologies star and mesh, in order to attest to the importance of tool in evaluation of the behavior of these networks, but also support possible changes or maintenance of the system.
Resumo:
In order to qualify Primary Health Care in Brazil, the Ministry of Health implemented the Brazilian Telehealth Program to provide health support (telecare) and permanent health education (tele-education). In this respect, one of the primary services offered is teleconsultation. As part of the national expansion of the program, a local Telehealth Center, called Telehealth/RN, was created in Rio Grande do Norte state. The aim of this study was to describe the implementation of cardiological teleconsultations at Telehealth/RN, and analyze the characteristics of the teleconsultations in cardiology requested. Formative Second Opinions in cardiology, available at the web site of the Brazilian Telehealth Program, were also examined. This is a quantitative study with a descriptive, observational design. A total of 56 Formative Second Opinions in cardiology were identified, a majority related to hypertension (29%), focused on treatment support (30%), and requested by doctors (59%). At Telehealth/RN, 47 teleconsultations in cardiology were carried out, a majority also related to hypertension (50%), requested by community health workers (45%) and focused directly on treatment (52%). Cardiological teleconsultation, implemented at the Telehealth/RN in April 2014, is a practical and efficient strategy capable of ensuring health services and reaching those who live in remote areas. Knowing the demand for teleconsultations is extremely important, given that they provide the information needed to correct existing inadequacies related to care, management and/or education, as well as providing the basis for public policies that meet the demands of teleconsultation.
Resumo:
The teaching-learning process requires a constant search on the part of educators for didatic innovations aimed at improving learning. Among these are technological innovations our students are familiar with. In human anatomy teaching, these innovations are increasingly important, since the need for “mechanizing” many structures may make learning tiresome and nonstimulating for students. The search for new technologies may make this process simpler. Another important issue is the need to constantly emphasize applying the knowledge in question, in order for students to better understand the meaning of learning. Accordingly, this project aims to develop an interactive tablet application for neck anatomy. This application will function as a guide to dissection, containing text, photographs, drawings and videos, distributed systematically, with a script emphasizing the clinical and surgical importance of neck anatomy.
Resumo:
The maned wolf (Chrysocyon brachyurus Illiger 1815) is the biggest canid in South America and it is considered a “near threatened” species by IUCN. Because of its nocturnal, territorial and solitary habits, there are still many understudied aspects of their behavior in natural environments, including acoustic communication. In its vocal repertoire, the wolf presents a longdistance call named “roar-bark” which, according to literature, functions for spacing maintenance between individuals and/or communication between members of the reproductive pair inside the territory. In this context, this study aimed: 1) to compare four methods for detecting maned wolf’s roar-barks in recordings made in a natural environment, in order to elect the most efficient one for our project; 2) to understand the night emission pattern of these vocalizations, verifying possible weather and moon phases influences in roarbark’s emission rates; and 3) to test Passive Acoustic Monitoring as a tool to identify the presence of maned wolves in a natural environment. The study area was the Serra da Canastra National Park (Minas Gerais, Brazil), where autonomous recorders were used for sound acquisition, recording all night (from 06pm to 06am) during five days in December/2013 and every day from April to July/2014. Roar-barks’ detection methods were tested and compared regarding time needed to analyze files, number of false positives and number of correctly identified calls. The mixed method (XBAT + manual) was the most efficient one, finding 100% of vocalizations in almost half of the time the manual method did, being chosen for our data analysis. By studying roarbarks’ temporal variation we verified that the wolves vocalize more in the early hours of the evening, suggesting an important social function for those calls at the beginning of its period of most intense activity. Average wind speed negatively influenced vocalization rate, which may indicate lower sound reception of recorders or a change in behavioral patterns of wolves in high speed wind conditions. A better understanding of seasonal variation of maned wolves’ vocal activity is required, but our study already shows that it is possible to detect behavioral patterns of wild animals only by sound, validating PAM as a tool in this species’ conservation.
Resumo:
BACKGROUND: Among the wide range of skills displayed by a medical doctor is undoubtedly the need to use cohesive and well grounded clinical reasoning in order for medical care to be indeed effective. It is in this respect that conceptual maps emerge; these are a methodological innovation that allows a comprehensive, panoramic and associative outlook of theoretical content, making it more practical and applicable to the reality of clinical observation. Promoting learning, learning resources and a feedback system between professor and students, as well as assessing and monitoring the performance of students during their academic training, are the main features of this tool. OBJETIVE: Assess the use of conceptual maps as a teaching-learning tool in the training of undergraduate medical students at Universidade Federal do Rio Grande do Norte (UFRN). METHODOLOGY: Interventional, randomized, cross-sectional study conducted with students from the 3rd and 5th periods of the medical course at UFRN, during the second semester of 2014, totaling 86 participants, divided into two groups: GI (intervention – clinical case resolution with a conceptual map) and GII (control – clinical case resolution without a conceptual map) in each period. RESULTS: The use of conceptual maps to teach liver failure syndrome resulted in a statistically significant cognitive gain for G1 students from the 5th period (GI: 6.8±1.6 and 8.0±1.5, p = 0.024; GII: 7.2±2.1 and 8.0±1.7, p = 0.125, pre and post-intermediate means, respectively), a result not observed in the period 3rd (GI: 7.7±1.3 and 8.0±1.4, p = 0.501; GII: 6.7±1.8 and 7.8±1.8; p=0.068, pre and post-intermediate means, respectively). Students in the 3 rd period gave better responses to the first clinical case, with a larger number of suitable concepts and crosslinks, when they used conceptual maps (GI: 91.3±13.15 and GII: 64.84±22.84, p=0,002). Students in the 5th period exhibited better clinical reasoning and more complete responses using the tool (p=0,01). Most of the students were not aware of the tool (53.8% from the 3rd period and 65.3% from the 5th period). Among those who knew about conceptual maps, most (59.3%) had only used them during high school, 14.8% had never used them and only seven students (25.9%) used them during the medical course. Analysis of open responses, obtained in process assessment showed clear satisfaction and enthusiasm with learning about the new tool, and frequent suggestions to use it at other moments in the course. Assessment of learning profile, using the VARK questionnaire, showed that most students from both periods exhibited a multimodal style. CONCLUSION: Despite their scant knowledge regarding the tool, good acceptability and understanding was observed in the study participants. The conceptual maps allowed cognitive gains, better responses and clinical reasoning in teaching liver failure syndrome to 5th period students.
Resumo:
We propose a mechatronic system for monitoring water quality in rivers, lakes, dams and sea, able to perform the acquisition, processing and presentation of data via the web in real time, in order to facilitate analysis quickly and needs by interested communities. The hardware architecture and software monitoring system has been developed so that it can be generic, that is, supporting different applications. Nevertheless, as a validation of the proposed system, we built a prototype that operates embarked on an autonomous robotic sailboat, a responsible platform for collecting the data in multiple predefined points from a ground station with a planning system navigation. This final application combines the advantages of autonomy of a robotic sailboat with the need for fast and accurate monitoring of water quality, in addition to the use of an autonomous robotic sailboat unmanned facilitate the development of other research in this area.
Resumo:
National surveys are important tools for public health surveillance and thus key elements in monitoring health conditions and system performance. In the field of oral health, such surveys began with the oral health survey in 1986 and later in 1996 and with the SBBrasil Project in 2003. The 2010 edition of SBBrasil is the principal oral health surveillance strategy for the production of primary data. In order to contribute to this discussion, this article proposes: (a) to present and discuss the Brazilian experience with nationwide oral health surveys and (b) to discuss the use of data in health surveillance models. One can conclude that oral health surveys in Brazil have great possibilities as a tool for health services and academia. Such surveys have shown evident potential for verifying trends in the oral health profile, as well as for producing valid indicators for use in health services.
Resumo:
The Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease characterized by progressive muscle weakness that leads the patient to death, usually due to respiratory complications. Thus, as the disease progresses the patient will require noninvasive ventilation (NIV) and constant monitoring. This paper presents a distributed architecture for homecare monitoring of nocturnal NIV in patients with ALS. The implementation of this architecture used single board computers and mobile devices placed in patient’s homes, to display alert messages for caregivers and a web server for remote monitoring by the healthcare staff. The architecture used a software based on fuzzy logic and computer vision to capture data from a mechanical ventilator screen and generate alert messages with instructions for caregivers. The monitoring was performed on 29 patients for 7 con-tinuous hours daily during 5 days generating a total of 126000 samples for each variable monitored at a sampling rate of one sample per second. The system was evaluated regarding the rate of hits for character recognition and its correction through an algorithm for the detection and correction of errors. Furthermore, a healthcare team evaluated regarding the time intervals at which the alert messages were generated and the correctness of such messages. Thus, the system showed an average hit rate of 98.72%, and in the worst case 98.39%. As for the message to be generated, the system also agreed 100% to the overall assessment, and there was disagreement in only 2 cases with one of the physician evaluators.
Resumo:
The Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease characterized by progressive muscle weakness that leads the patient to death, usually due to respiratory complications. Thus, as the disease progresses the patient will require noninvasive ventilation (NIV) and constant monitoring. This paper presents a distributed architecture for homecare monitoring of nocturnal NIV in patients with ALS. The implementation of this architecture used single board computers and mobile devices placed in patient’s homes, to display alert messages for caregivers and a web server for remote monitoring by the healthcare staff. The architecture used a software based on fuzzy logic and computer vision to capture data from a mechanical ventilator screen and generate alert messages with instructions for caregivers. The monitoring was performed on 29 patients for 7 con-tinuous hours daily during 5 days generating a total of 126000 samples for each variable monitored at a sampling rate of one sample per second. The system was evaluated regarding the rate of hits for character recognition and its correction through an algorithm for the detection and correction of errors. Furthermore, a healthcare team evaluated regarding the time intervals at which the alert messages were generated and the correctness of such messages. Thus, the system showed an average hit rate of 98.72%, and in the worst case 98.39%. As for the message to be generated, the system also agreed 100% to the overall assessment, and there was disagreement in only 2 cases with one of the physician evaluators.
Resumo:
The Potengi River estuary has been affected by various anthropogenic factors over the years, as periodic dredging, industrial and domestic waste, traffic and other factors, causing various environmental disasters, including the notorious ecological accident in July 2007, which covered the municipalities of São Gonçalo do Amarante, Macaíba and Natal. Foraminifera serve as viable study tools in these environments; they are able to identify ecologically stressed environments, pointing out hydrographic changes and depositional environments in estuaries. The necessity to check the differences in environmental gradients in places anthropically impacted in Potengi River and adjacent inner shelf through species of foraminifera, and, the responses of these organisms to physical, chemical and geological factors is to provide baseline in the diagnosis of environments. The results show the dominance of opportunistic Ammonia tepida, Bolivina striatula, Quinqueloculina patagonica and Q. miletti especially in regions close to shrimp farms and Baldo Channel sewage in fine grain environments; and Q. lamarckiana indicates penetration of the saline waters in Potengi River. The occurrence of low-salinity tolerant foraminiferal species typical of mangrove environments as Trochammina inflata and T. squamata in Potengi River Channel suggest they probably could have been transported from mangrove area near the Potengi river mouth to the inner shelf regions. These findings suggest Potengi River is able to export mixohaline and mangrove organisms to inner shelf. Two distinct environments were observed, the outermost area is more influenced by marine influence and the innermost area is less influenced. Calcareous and agglutinated species dominate Potengi River, while mouth and inner shelf areas are dominated by calcareous, agglutinated and porcelaneous species, which are typical of highly saline and hydrodynamic environments and the contributive factors that controls foraminiferal distribution were balance of marine and freshwater currents, grain size, availability of CaCO3 and organic matter.
Resumo:
The Potengi River estuary has been affected by various anthropogenic factors over the years, as periodic dredging, industrial and domestic waste, traffic and other factors, causing various environmental disasters, including the notorious ecological accident in July 2007, which covered the municipalities of São Gonçalo do Amarante, Macaíba and Natal. Foraminifera serve as viable study tools in these environments; they are able to identify ecologically stressed environments, pointing out hydrographic changes and depositional environments in estuaries. The necessity to check the differences in environmental gradients in places anthropically impacted in Potengi River and adjacent inner shelf through species of foraminifera, and, the responses of these organisms to physical, chemical and geological factors is to provide baseline in the diagnosis of environments. The results show the dominance of opportunistic Ammonia tepida, Bolivina striatula, Quinqueloculina patagonica and Q. miletti especially in regions close to shrimp farms and Baldo Channel sewage in fine grain environments; and Q. lamarckiana indicates penetration of the saline waters in Potengi River. The occurrence of low-salinity tolerant foraminiferal species typical of mangrove environments as Trochammina inflata and T. squamata in Potengi River Channel suggest they probably could have been transported from mangrove area near the Potengi river mouth to the inner shelf regions. These findings suggest Potengi River is able to export mixohaline and mangrove organisms to inner shelf. Two distinct environments were observed, the outermost area is more influenced by marine influence and the innermost area is less influenced. Calcareous and agglutinated species dominate Potengi River, while mouth and inner shelf areas are dominated by calcareous, agglutinated and porcelaneous species, which are typical of highly saline and hydrodynamic environments and the contributive factors that controls foraminiferal distribution were balance of marine and freshwater currents, grain size, availability of CaCO3 and organic matter.