Sistema avanzado de alarmas para el reactor RA6.

Los sistemas de alarmas constituyen un elemento clave en las plantas modernas de procesos industriales. A lo largo de los años, los mismos han ido evolucionando de la mano del importante desarrollo en la industria del software, para pasar de ser simples paneles de anunciación y lámparas cableadas hasta complejos sistemas inteligentes que asisten al operador en sus funciones de operación. En el desarrollo de este trabajo se planteó diseñar un Sistema Avanzado de Alarmas para el Reactor Nuclear de Investigación RA6 contemplando las nuevas tecnologías existentes para incorporar mejoras a la actual sala de control. Para ello se trabajó siguiendo la metodología propuesta por la guía de diseño de sistemas de alarmas ANSI / ISA- SP-18. Para asistir al diseño y la verificación del sistema se utilizó un modelo termohidráulico de la planta desarrollado en Matlab/Simulink. Entre las nuevas herramientas incorporadas en el prototipo final obtenido se pueden mencionar: creación de archivos históricos, asignación de prioridades, supresiones de alarmas según estado operativo, filtrado y agrupamiento de alarmas.

Sistema avanzado de alarmas para el reactor RA6.

Los sistemas de alarmas constituyen un elemento clave en las plantas modernas de procesos industriales. A lo largo de los años, los mismos han ido evolucionando de la mano del importante desarrollo en la industria del software, para pasar de ser simples paneles de anunciación y lámparas cableadas hasta complejos sistemas inteligentes que asisten al operador en sus funciones de operación. En el desarrollo de este trabajo se planteó diseñar un Sistema Avanzado de Alarmas para el Reactor Nuclear de Investigación RA6 contemplando las nuevas tecnologías existentes para incorporar mejoras a la actual sala de control. Para ello se trabajó siguiendo la metodología propuesta por la guía de diseño de sistemas de alarmas ANSI / ISA- SP-18. Para asistir al diseño y la verificación del sistema se utilizó un modelo termohidráulico de la planta desarrollado en Matlab/Simulink. Entre las nuevas herramientas incorporadas en el prototipo final obtenido se pueden mencionar: creación de archivos históricos, asignación de prioridades, supresiones de alarmas según estado operativo, filtrado y agrupamiento de alarmas.

Sistema de predição de alarmes em processos industriais por classificação não-supervisionada

Um sistema de predição de alarmes com a finalidade de auxiliar a implantação de uma política de manutenção preditiva industrial e de constituir-se em uma ferramenta gerencial de apoio à tomada de decisão é proposto neste trabalho. O sistema adquire leituras de diversos sensores instalados na planta, extrai suas características e avalia a saúde do equipamento. O diagnóstico e prognóstico implica a classificação das condições de operação da planta. Técnicas de árvores de regressão e classificação não-supervisionada são utilizadas neste artigo. Uma amostra das medições de 73 variáveis feitas por sensores instalados em uma usina hidrelétrica foi utilizada para testar e validar a proposta. As medições foram amostradas em um período de 15 meses.

Automatic Incident Detection and Driver Warning in PORTICO.

This paper focuses on the low-volume incident detection and subsequent driver warning objectives of the PORTICO project. It proposes Automatic Incident Detection (AID) which uses a multimodel approach comprised of a number of different algorithms. A set of thresholds and conditions are defined which determine which algorithm(s) need to indicate an incident under different traffic conditions in order to trigger an alarm

Fibroma uterino en una hembra canina cruzada de 12 años en Veterinaria Vida, Noviembre Managua, Nicaragua 2013

Se analizó un estudio de caso atendido en la Clínica “VIDA ” el 21 de noviembre del 2013. Inicialmente se procedió a la valoración de su estado físico y de salud considerando la edad de la paciente. A partir de la inspección clínica y anamnesis se procedió a brindar un diagnóstico de la patología que presentaba, para fundamentar las principales causas y consecuencia que gen eran las patologías reproductivas en la especie canina. El estudio de caso es una investigación cualitativa de tipo participativa, cuya base es la descripción de sucesos ocurridos en un momento determinado el cual consistía en el análisis de un estudio de caso que no pueden duplicarse por las condiciones individuales del sujeto y de su entorno en particular . El paciente era una perra de 12 años , llamada princesa que t enía completo su programa de vacunación y desparasitación. Después del último celo tuvo descargas vaginal es hemorrágicas , durante 6 días el cual alarmó a la dueña, ya que no mostró síntomas característicos de postraciones . Era alimentada con concentrado, su estro era normal . Se le brindó atención ambulatoria y s e le realizaron exámenes clínicos , realizando la anamnesis , sin mostrar dolor a la palpación, no se detectaron masas abdominales, no se realizó exploración vagina l debido a que la paciente no habí a sido incorporada para reproducción. Se determinó como piómetra en diagnostico presu ntivo, aplicándole vit. K p or tres días y al cuarto día una dosis de medroxiprogesterona para detener el sangrado. A l no haber efecto en el sangrado, se optó por la extirpación quirúrgica del útero el cual se real izó sin problemas, encontrándose: cuernos uterinos y útero hiperplásicos , endometrio con fibromas y pequeñas neoplasias. Se identificó neoplasia uterina causada por quistes ováricos, estrés, trastorno psicológico de adaptabilidad a la ausencia de la dueña, creando un desorde n en las estructuras de cascada del sistema endocrino, viéndose afectado por la relació n de la edad de la paciente. Terminada la cirugía se le entregó la mascota a su dueña junto con las indicaciones postoperatoria pero ya en su casa la paciente murió por complicaciones post quirúrgica no identificadas .

CFAR Adaptive PN Code acquisition for DSSS Systems.

Constant false alarm rate (CFAR) techniques can be used in Pseudo-Noise (PN) code acquisition in Spread Spectrum (SS) communication systems, and all the CFAR techniques perform well in homogeneous background PN code acquisition. However, in non-homogeneous background, some CFAR techniques suffer rapid degradation. GO/SO (Greatest-of/Smallest-of) CFAR and adaptive censored mean level detector (ACMLD) are two adaptive CFAR techniques, which are analyzed and compared with other CFAR techniques. The simulation results show that GO/SO CFAR is superior to other CFAR techniques, it maintains short mean acquisition time (MAT) even at environment with strong clutter noise, and ACMLD is suitable for background with strong interfering targets

Caracterización de señales sísmicas del Volcán Cotopaxi utilizando estimadores espectrales clásicos y de máxima entropía

Se presenta un estudio de detección y caracterización de eventos sísmicos del tipo volcano tectónicos y largo periodo de registros sísmicos generados por el volcán Cotopaxi. La estructura secuencial de detección propuesta permite en un registro sísmico maximizar la probabilidad de presencia de un evento y minimizar la ausencia de este. La detección se la realiza en el dominio del tiempo en cuasi tiempo real manteniendo una tasa constante de falsa alarma para posteriormente realizar un estudio del contenido espectral de los eventos mediante el uso de estimadores espectrales clásicos como el periodograma y paramétricos como el método de máxima entropía de Burg, logrando así, categorizar a los eventos detectados como volcano tectónicos, largo periodo y otros cuando no poseen características pertenecientes a los otros dos tipos como son los rayos.

Social buffering of fear in zebrafish

Tese de Doutoramento em Biologia Comportamental apresentada ao ISPA - Instituto Universitário

Clinical Practice Guideline: irritable bowel syndrome with constipation and functional constipation in the adult

In this Clinical Practice Guideline we discuss the diagnostic and therapeutic approach of adult patients with constipation and abdominal complaints at the confluence of the irritable bowel syndrome spectrum and functional constipation. Both conditions are included among the functional bowel disorders, and have a significant personal, healthcare, and social impact, affecting the quality of life of the patients who suffer from them. The first one is the irritable bowel syndrome subtype, where constipation represents the predominant complaint, in association with recurrent abdominal pain, bloating, and abdominal distension. Constipation is characterized by difficulties with or low frequency of bowel movements, often accompanied by straining during defecation or a feeling of incomplete evacuation. Most cases have no underlying medical cause, and are therefore considered as a functional bowel disorder. There are many clinical and pathophysiological similarities between both disorders, and both respond similarly to commonly used drugs, their primary difference being the presence or absence of pain, albeit not in an "all or nothing" manner. Severity depends not only upon bowel symptom intensity but also upon other biopsychosocial factors (association of gastrointestinal and extraintestinal symptoms, grade of involvement, and perception and behavior variants). Functional bowel disorders are diagnosed using the Rome criteria. This Clinical Practice Guideline has been made consistent with the Rome IV criteria, which were published late in May 2016, and discuss alarm criteria, diagnostic tests, and referral criteria between Primary Care and gastroenterology settings. Furthermore, all the available treatment options (exercise, fluid ingestion, diet with soluble fiber-rich foods, fiber supplementation, other dietary components, osmotic or stimulating laxatives, probiotics, antibiotics, spasmolytics, peppermint essence, prucalopride, linaclotide, lubiprostone, biofeedback, antidepressants, psychological therapy, acupuncture, enemas, sacral root neurostimulation, surgery) are discussed, and practical recommendations are made regarding each of them.

Robot acuático hidrostático espectral de rayos laser, para el control larvario de mosquitos de importancia médica en Salud Pública.

Diseñar y construir un robot acuático que destruya la presencia de larvas o pupas de mosquitos en contenedores de agua. Se construyó y se diseñó un robot con materiales reciclables construido con tubos de cañería PVC, lupa, sensores de luz y barrera, motor de fuente 110 v, resistencias, LCR, cargador 9 v y focos led, para que destruya larvas de mosquitos en un contenedor de agua. Como resultado hay una cero prevalencia de índice larvario porque el robot detecta presencia larvaria con sensores y rayos laser activándose automáticamente con el efecto de succión y destrucción larvas en su interior eliminándolas desechas al utilizar filtros de 10 micras y aspas metálicas, el robot se activa por cinco a diez minutos y se apaga automáticamente hasta esperar la alarma otra vez según disposición de larvas. Conclusión el uso del robot acuático en contenedores de agua no se encuentra índices larvarios, así como pupas, que puede ser utilizado como control antilarvario para el combate transmisor de Dengue, Zika, Chikungunya entre otros.
Design and build an aquatic robot to destroy the presence of larvae or pupae of mosquitoes in water containers. It was built and a robot with recyclables built with tubes pipe PVC, magnifier, light sensors and barrier, engine power 110 v, resistors, LCR, charger 9 vy spotlights led, to destroy mosquito larvae was designed in a container of water. As a result there is a zero prevalence Larval rate because the robot detects larval presence sensors and lasers automatically activated with the suction effect and larvae destruction their killing the inner cast off using filters of 10 microns and metal blades, the robot is activated by five to ten minutes to wait automatically turns off the alarm again available as larvae. Conclusion use water in water containers robot is not larval indices and pupae, which can be used as anti larval control for transmitter combat Dengue, Zika, Chikungunya among others.

Conocimiento de los signos y síntomas de alarma obstétrica en las pacientes de la consulta externa de los centros de Salud del Valle y Ricaurte. Cuenca-Ecuador. 2016

La morbilidad y mortalidad materna representa un problema de salud, social y económico. En el Ecuador unas de las principales causas de muerte materna son obstétricas directas, las cuales se pueden prevenir y controlar. OBJETIVO: Determinar los conocimientos de signos y síntomas de alarma obstétrica en una población de embarazadas de los Centros de Salud de El Valle y Ricaurte, Cuenca Enero-Abril 2016. METODOLOGIA: Se trató de un estudio descriptivo, de corte transversal con un universo de 143 mujeres embarazadas que acudieron a la Consulta Externa y a los clubes de embarazadas de los Centros de Salud de El Valle y Ricaurte. Los datos fueron recolectados en un formulario elaborado por los autores y se digitalizaron en el programa SPSS versión 20, se procedió a analizarlos mediante el uso de tablas simples junto de frecuencias relativas y porcentajes. RESULTADOS: La mayoría de las pacientes encuestadas conocían al menos un signo de alarma obstétrica en un 78.32% y un 21.68% no conocían. El 66.43% no presentaron algún signo de alarma en su embarazo actual, el 33.57% (48) si lo hicieron; refiriendo a la cefalea como síntoma predominante, el 81.48% respondió que acudiría de inmediato a un centro de salud o al Hospital en caso de presentar algún signo de alarma, el 18,52% respondió que esperaría o acudiría a una persona de confianza. La edad promedio fue de 25 años (62.94%), el 84.62% residía en áreas rurales, y el nivel de instrucción fue de mediano a alto (93%).

To eat or not to eat meat: that is the question

Meat is a well accepted food with appreciable appealing. Due to its high nutritional value it plays a central role in human development. Meat/meat derivates are important sources of proteins, minerals and vitamins. Their nutritional importance is paralleled to their economic impact. Paying attention to the social alarm originated by a recent publication of WHO about the relationship between red and/or processed meat consumption and cancer, this paper reviews the following aspects: a) the present consumption of meat/meat products in Spain; b) the contribution of their macro/micronutrients to the recommended dietary allowances; c) the obliged use of additives (e.g. nitrites and nitrates) to warrant the food safety, and their daily intake. In addition health risks derived from a high consumption, as well as the most appropriate culinary uses in order to reduce the formation of toxic products (e.g. N-nitrosocompounds) are commented. Due to the huge variety of available meat products, this paper concludes that any generalization should be avoided. We also emphasize about the advantages of consuming meat/meat products in the frame of a Mediterranean diet, rich in vegetables, fruits, and bioactive compounds.

Gerenciamento de alarmes em plataformas marítimas de produção de hidrocarbonetos: metodologia e estudo de caso

In the operational context of industrial processes, alarm, by definition, is a warning to the operator that an action with limited time to run is required, while the event is a change of state information, which does not require action by the operator, therefore should not be advertised, and only stored for analysis of maintenance, incidents and used for signaling / monitoring (EEMUA, 2007). However, alarms and events are often confused and improperly configured similarly by developers of automation systems. This practice results in a high amount of pseudo-alarms during the operation of industrial processes. The high number of alarms is a major obstacle to improving operational efficiency, making it difficult to identify problems and increasing the time to respond to abnormalities. The main consequences of this scenario are the increased risk to personal safety, facilities, environment deterioration and loss of production. The aim of this paper is to present a philosophy for setting up a system of supervision and control, developed with the aim of reducing the amount of pseudo-alarms and increase reliability of the information that the system provides. A real case study was conducted in the automation system of the offshore production of hydrocarbons from Petrobras in Rio Grande do Norte, in order to validate the application of this new methodology. The work followed the premises of the tool presented in ISA SP18.2. 2009, called "life cycle alarm . After the implementation of methodology there was a significant reduction in the number of alarms

Sistema de sensoriamento eletromagnético utilizado para detecção da contaminação do óleo isolante do motor no método de elevação artificial do tipo bombeio centrífugo submerso

In the artificial lift method by Electrical Submersible Pump (ESP), the energy is transmitted for the well´s deep through a flat electric handle, where it is converted into mechanical energy through an engine of sub-surface, which is connected to a centrifugal pump. This transmits energy to the fluid under the pressure form, bringing it to the surface In this method the subsurface equipment is basically divided into: pump, seal and motor. The main function of the seal is the protect the motor, avoiding the motor´s oil be contaminated by oil production and the consequent burning of it. Over time, the seal will be wearing and initiates a contamination of motor oil, causing it to lose its insulating characteristics. This work presents a design of a magnetic sensor capable of detecting contamination of insulating oil used in the artificial lift method of oil-type Electrical Submersible Pump (ESP). The objective of this sensor is to generate alarm signal just the moment when the contamination in the isolated oil is present, enabling the implementation of a predictive maintenance. The prototype was designed to work in harsh conditions to reach a depth of 2000m and temperatures up to 150°C. It was used a simulator software to defined the mechanical and electromagnetic variables. Results of field experiments were performed to validate the prototype. The final results performed in an ESP system with a 62HP motor showed a good reliability and fast response of the prototype.

Ensemble Stream Model for Data-Cleaning in Sensor Networks

Ensemble Stream Modeling and Data-cleaning are sensor information processing systems have different training and testing methods by which their goals are cross-validated. This research examines a mechanism, which seeks to extract novel patterns by generating ensembles from data. The main goal of label-less stream processing is to process the sensed events to eliminate the noises that are uncorrelated, and choose the most likely model without over fitting thus obtaining higher model confidence. Higher quality streams can be realized by combining many short streams into an ensemble which has the desired quality. The framework for the investigation is an existing data mining tool. First, to accommodate feature extraction such as a bush or natural forest-fire event we make an assumption of the burnt area (BA*), sensed ground truth as our target variable obtained from logs. Even though this is an obvious model choice the results are disappointing. The reasons for this are two: One, the histogram of fire activity is highly skewed. Two, the measured sensor parameters are highly correlated. Since using non descriptive features does not yield good results, we resort to temporal features. By doing so we carefully eliminate the averaging effects; the resulting histogram is more satisfactory and conceptual knowledge is learned from sensor streams. Second is the process of feature induction by cross-validating attributes with single or multi-target variables to minimize training error. We use F-measure score, which combines precision and accuracy to determine the false alarm rate of fire events. The multi-target data-cleaning trees use information purity of the target leaf-nodes to learn higher order features. A sensitive variance measure such as f-test is performed during each node’s split to select the best attribute. Ensemble stream model approach proved to improve when using complicated features with a simpler tree classifier. The ensemble framework for data-cleaning and the enhancements to quantify quality of fitness (30% spatial, 10% temporal, and 90% mobility reduction) of sensor led to the formation of streams for sensor-enabled applications. Which further motivates the novelty of stream quality labeling and its importance in solving vast amounts of real-time mobile streams generated today.