987 resultados para manufacturing time


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The needs of reducing human error has been growing in every field of study, and medicine is one of those. Through the implementation of technologies is possible to help in the decision making process of clinics, therefore to reduce the difficulties that are typically faced. This study focuses on easing some of those difficulties by presenting real-time data mining models capable of predicting if a monitored patient, typically admitted in intensive care, will need to take vasopressors. Data Mining models were induced using clinical variables such as vital signs, laboratory analysis, among others. The best model presented a sensitivity of 94.94%. With this model it is possible reducing the misuse of vasopressors acting as prevention. At same time it is offered a better care to patients by anticipating their treatment with vasopressors.

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An unsuitable patient flow as well as prolonged waiting lists in the emergency room of a maternity unit, regarding gynecology and obstetrics care, can affect the mother and child’s health, leading to adverse events and consequences regarding their safety and satisfaction. Predicting the patients’ waiting time in the emergency room is a means to avoid this problem. This study aims to predict the pre-triage waiting time in the emergency care of gynecology and obstetrics of Centro Materno Infantil do Norte (CMIN), the maternal and perinatal care unit of Centro Hospitalar of Oporto, situated in the north of Portugal. Data mining techniques were induced using information collected from the information systems and technologies available in CMIN. The models developed presented good results reaching accuracy and specificity values of approximately 74% and 94%, respectively. Additionally, the number of patients and triage professionals working in the emergency room, as well as some temporal variables were identified as direct enhancers to the pre-triage waiting time. The imp lementation of the attained knowledge in the decision support system and business intelligence platform, deployed in CMIN, leads to the optimization of the patient flow through the emergency room and improving the quality of services.

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Patient blood pressure is an important vital signal to the physicians take a decision and to better understand the patient condition. In Intensive Care Units is possible monitoring the blood pressure due the fact of the patient being in continuous monitoring through bedside monitors and the use of sensors. The intensivist only have access to vital signs values when they look to the monitor or consult the values hourly collected. Most important is the sequence of the values collected, i.e., a set of highest or lowest values can signify a critical event and bring future complications to a patient as is Hypotension or Hypertension. This complications can leverage a set of dangerous diseases and side-effects. The main goal of this work is to predict the probability of a patient has a blood pressure critical event in the next hours by combining a set of patient data collected in real-time and using Data Mining classification techniques. As output the models indicate the probability (%) of a patient has a Blood Pressure Critical Event in the next hour. The achieved results showed to be very promising, presenting sensitivity around of 95%.

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Hospitals have multiple data sources, such as embedded systems, monitors and sensors. The number of data available is increasing and the information are used not only to care the patient but also to assist the decision processes. The introduction of intelligent environments in health care institutions has been adopted due their ability to provide useful information for health professionals, either in helping to identify prognosis or also to understand patient condition. Behind of this concept arises this Intelligent System to track patient condition (e.g. critic events) in health care. This system has the great advantage of being adaptable to the environment and user needs. The system is focused in identifying critic events from data streaming (e.g. vital signs and ventilation) which is particularly valuable for understanding the patient’s condition. This work aims to demonstrate the process of creating an intelligent system capable of operating in a real environment using streaming data provided by ventilators and vital signs monitors. Its development is important to the physician because becomes possible crossing multiple variables in real-time by analyzing if a value is critic or not and if their variation has or not clinical importance.

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OBJECTIVE - To assess mortality and the psychological repercussions of the prolonged waiting time for candidates for heart surgery. METHODS - From July 1999 to May 2000, using a standardized questionnaire, we carried out standardized interviews and semi-structured psychological interviews with 484 patients with coronary heart disease, 121 patients with valvular heart diseases, and 100 patients with congenital heart diseases. RESULTS - The coefficients of mortality (deaths per 100 patients/year) were as follows: patients with coronary heart disease, 5.6; patients with valvular heart diseases, 12.8; and patients with congenital heart diseases, 3.1 (p<0.0001). The survival curve was lower in patients with valvular heart diseases than in patients with coronary heart disease and congenital heart diseases (p<0.001). The accumulated probability of not undergoing surgery was higher in patients with valvular heart diseases than in the other patients (p<0.001), and, among the patients with valvular heart diseases, this probability was higher in females than in males (p<0.01). Several patients experienced intense anxiety and attributed their adaptive problems in the scope of love, professional, and social lives, to not undergoing surgery. CONCLUSION - Mortality was high, and even higher among the patients with valvular heart diseases, with negative psychological and social repercussions.

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Esta investigación propone explorar si maestros y alumnos muestran hábitos en la escuela y si éstos inciden en el aprovechamiento del tiempo escolar, lo que permitiría inferir que su presencia optimizaría el proceso de aprendizaje y el comportamiento. Problema: ¿Qué efecto tienen los hábitos sobre el aprovechamiento del tiempo en la escuela? Hipótesis: La presencia de hábitos positivos en maestros y alumnos posibilita un significativo aprovechamiento del tiempo en las diversas actividades que se desarrollan en la sala de clase y en los diferentes momentos del funcionamiento escolar. Objetivos: Determinar en qué medida la presencia/ausencia de hábitos en maestros y alumnos incide sobre el aprovechamiento del tiempo escolar. Específicos: 1. Explorar si el currículum prescripto contempla la adquisición de hábitos como objetivo y/o contenido de aprendizaje. 2. Analizar si se advierten hábitos en las diversas oportunidades de aprendizaje que surgen en el ámbito escolar, como consecuencia del currículum prescripto y/o del currículum oculto. 3. Determinar la importancia de la adquisición de hábitos como objetivo educativo en la escuela. 4. Detectar si hay diferencias en la propuesta educativa ofrecida a los diversos grupos socio-económico-culturales. Metodología: Exploratoria-descriptiva-correlacional-transeccional, que pretende especificar cómo se manifiestan las variables sometidas a análisis (tiempo-hábitos-oportunidades escolares de enseñanza-aprendizaje) y el grado de relación existente entre las mismas. Técnicas: observación, análisis de contenido, cuestionario, entrevista. Unidades de análisis: Presencia/ausencia de hábitos en el currículum escolar prescripto u oculto y en el comportamiento de maestros y alumnos; incidencia de los mismos sobre el aprovechamiento del tiempo escolar; existencia/inexistencia de diferencias en la propuesta educativa ofrecida a los diversos grupos socio-económicoculturales. Se realizará un muestreo estratificado proporcional, mediante una selección al azar, aleatoria simple; una distribución de frecuencias para encontrar la mediana, la razón y la tasa, a fin de implementar la prueba de hipótesis y realizar la estadística inferencial; se elaborará el informe de investigación. Consideramos que el producto final favorecerá la toma de conciencia sobre la importancia de contemplar los hábitos en los maestros y en la formación integral de los alumnos, para optimizar el proceso de enseñanza -aprendizaje y ayudar a mejorar el funcionamiento institucional. Asimismo podrá proponerse como objeto de conocimiento científico para la formación docente y constituirse en un interesante insumo para la política educativa en lo que respecta a la formulación del currículum prescripto para los distintos niveles de educación formal obligatoria.

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The objective of this thesis is to compare and contrast environmental licensing systems, for the wood panel industry, in a number of countries in order to determine which system is the best from an environmental and economic point of view. The thesis also examines the impact which government can have on industry and the type of licensing system in operation in a country. Initially, the thesis investigates the origins of the various environmental licensing systems which are in operation in Ireland, Scotland, Wales, France, USA and Canada. It then examines the Environmental Agencies which control and supervise industry in these countries. The impact which the type of government (i.e. unitary or federal) in charge in any particular country has on industry and the Regulatory Agency in that country is then described. Most of the mills in the thesis make a product called OSB (Oriented Strand Board) and the manufacturing process is briefly described in order to understand where the various emissions are generated. The main body of the thesis examines a number of environmental parameters which have emission limit values in the licenses examined, although not all of these parameters have emission limit values in all of the licenses. All of these parameters are used as indicators of the potential impact which the mill can have on the environment. They have been set at specific levels by the Environmental Agencies in the individual countries to control the impact of the mill. Following on from this, the two main types of air pollution control equipment (WESPs and RTOs) are described in regard to their function and capabilities. The mill licenses are then presented in the form of results tables which compare air results and water results separately. This is due to the fact that the most significant emission from this type of industry is to air. A matrix system is used to compare the licenses so that the comparison can be as objective as possible. The discussion examines all of the elements previously described and from this it was concluded that the IPC licensing system is the best from an environmental and economic point of view. It is a much more expensive system to operate than the other systems examined, but it is much more comprehensive and looks at the mill as a whole rather than fragmenting it. It was also seen that the type of environmental licensing system which is in place in a country can play a role in the locating of an industry as certain systems were seen to have more stringent standards attached to them. The type of standard in place in a country is in turn influenced by the type of government which is in place in that country.

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In today’s world, many companies are concentrating on both their technology and human resources to provide them with their competitive advantage. Hence, understanding what motivates people is particularly important for managers in order to develop and sustain a competitive edge. As a result, numerous theories have been advanced to help our understanding of the subject matter and from these theories many motivational methods have evolved to enhance motivation within the workplace. In addition, research has been conducted on the various types of motivational techniques utilised by companies within Ireland. However, very little research has been completed within specific geographical regions in Ireland concerning the types of motivational techniques implemented at different job levels and their impact on employees work performance. Thus the objective of this research was to identify the motivational techniques utilised at different job levels within large manufacturing and service companies in the Northwest of Ireland and examine how these techniques influence the performance levels of employees. Furthermore, the study examined if these companies have changed from traditional ways of motivating employees to newer techniques. The research methodologies used to undertake the research included interviews with the HR managers and questionnaires completed by different employees at various job levels within the participating companies. Overall the conclusions were varied. Many different types of motivation techniques were found within the study’s participating companies. Irish companies are improving their motivational techniques, however most of these techniques are only used within higher job levels. In contrast to their American counterparts, a variety of motivational techniques are utilised and implemented at all job levels. On a more positive note, the majority of these motivational techniques do increase performance levels at all job levels. From the extensive primary and secondary research conducted, the thesis concludes by offering a number of recommendations to assist companies in further development of their motivational techniques for all job levels. These recommendations hope to augment the success of companies through an enhanced motivated workforce.

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The purpose of this study was to evaluate the determinism of the AS-lnterface network and the 3 main families of control systems, which may use it, namely PLC, PC and RTOS. During the course of this study the PROFIBUS and Ethernet field level networks were also considered in order to ensure that they would not introduce unacceptable latencies into the overall control system. This research demonstrated that an incorrectly configured Ethernet network introduces unacceptable variable duration latencies into the control system, thus care must be exercised if the determinism of a control system is not to be compromised. This study introduces a new concept of using statistics and process capability metrics in the form of CPk values, to specify how suitable a control system is for a given control task. The PLC systems, which were tested, demonstrated extremely deterministic responses, but when a large number of iterations were introduced in the user program, the mean control system latency was much too great for an AS-I network. Thus the PLC was found to be unsuitable for an AS-I network if a large, complex user program Is required. The PC systems, which were tested were non-deterministic and had latencies of variable duration. These latencies became extremely exaggerated when a graphing ActiveX was included in the control application. These PC systems also exhibited a non-normal frequency distribution of control system latencies, and as such are unsuitable for implementation with an AS-I network. The RTOS system, which was tested, overcame the problems identified with the PLC systems and produced an extremely deterministic response, even when a large number of iterations were introduced in the user program. The RTOS system, which was tested, is capable of providing a suitable deterministic control system response, even when an extremely large, complex user program is required.

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Monitoring, object-orientation, real-time, execution-time, scheduling