54 resultados para Monitoring Systems


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BACKGROUND: Most populations are consuming too much salt which is the main contributor of high blood pressure, a leading risk factor of cardiovascular disease and stroke. The South Pacific Office of the World Health Organization has been facilitating the development of salt reduction strategies in Pacific Island Countries and areas (PICs). The objective of this analysis was to review progress to date and identify regional actions needed to support PICs and ensure they achieve the global target to reduce population salt intake by 30% by 2025.
METHODS: Relevant available national food, health and non-communicable disease (NCD) plans from all 22 PICs were reviewed. NCD co-ordinators provided updates and relayed experiences through semi-structured interviews. All activities were systematically categorised according to an existing salt reduction framework for the development of salt reduction strategies.
RESULTS: Salt reduction consultations had been held in 14 countries and final strategies or action plans developed in nine of these, with drafts available in a further three. Three other countries had integrated salt reduction into NCD strategic plans. Baseline monitoring of salt intake had been undertaken in three countries, salt levels in foods in nine countries and salt knowledge, attitude and behaviour surveys in four countries. Most countries were at early stages of implementation and identified limited resources as a barrier to action. Planned salt reduction strategies included work with food industry or importers, implementing regional salt reduction targets, reducing salt levels in school and hospital meals, behaviour change campaigns, and monitoring and evaluation.
CONCLUSIONS: There had been good progress on salt reduction planning in PICs. The need for increased capacity to effectively implement agreed activities, supported by regional standards and the establishment of improved monitoring systems, were identified as important steps to ensure the potential cardiovascular health benefits of salt reduction could be fully realised in the region.

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Long-term, off-site human monitoring systems are emerging with respect to the skyrocketing expenditures engaged with rehabilitation therapies for neurological diseases. Inertial/magnetic sensor modules are well known as a worthy solution for this problem. Much attention and effort are being paid for minimizing drift problem of angular rates, yet the rest of kinematic measurements (earth’s magnetic field and gravitational orientation) are only themselves capable enough to track movements applying the theory for solving historicalWahbas Problem. Further, these solutions give a closed form solution which makes it mostly suitable for real time Mo-Cap systems. This paper examines the feasibility of some typical solutions of Wahba’s Problem named TRIAD method, Davenport’s q method, Singular Value Decomposition method and QUEST algorithm upon current inertial/magnetic sensor measurements for tracking human arm movements. Further, the theoretical assertions are compared through controlled experiments with both simulated and actual accelerometer and magnetometer measurements.

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This paper outlines the information needs underlying the health information system in Australia and the implications these have for the ability to monitor the performance of the health system. We discuss the use of indicators in performance monitoring and the role of information frameworks in providing a basis for their development. The major Australian data sources to support the development of performance indicators are outlined, and their current and likely futures uses for performance monitoring discussed.

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The increased use of email and the internet in the workplace raises important legal questions for workers and employers. The purpose of this paper is to  explore some of the legal implications of use by employees of workplace email and internet systems, with particular focus on employer monitoring of the use of email and internet and its implications for employee privacy.

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One of the most important objectives of cold metal forming research is to develop techniques that enable better manufacturing efficiencies. Within this monitoring of tooling condition is vital to providing high quality manufacturing. The objective of this research is to determine the signature derived from Acoustic Emission (AE) sensors, in order to establish the current condition of a machine tool, as applied to bolt-making. From here we aim to develop and implement an on-line condition monitoring tool for the cold forming process. A review of the literature has shown that much research into AE has been successfully applied in metal cutting operations; such as milling, drilling and turning, but little research has been done related to metal forming. This appears to be due to the complexity of obtaining consistent signals using Acoustic Emission systems, because the presence of noise in many forms. This paper will detail many of the AE signals acquired and analysed through our research. The extensive results indicate this form of condition monitoring is not suitable for metal forming in its current configuration. Further tests are proposed to enable such research to move forward, so a condition monitoring system can be established.

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In recent years there has been an increase in community-based monitoring programmes developed and implemented worldwide. This paper describes how the data collected from such a programme could be integrated into a Geographic Information System (GIS) to create temperate subtidal marine habitat maps. A differential Global Positioning System was utilized to accurately record the location of the trained community-based SCUBA diver data. These georeferenced data sets were then used to classify benthic habitats using an aerial photograph and digitizing techniques. This study demonstrated that trained community-based volunteers can collect data that can be utilized within a GIS to create reliable and cost-effective maps of shallow temperate subtidal rocky reef systems.

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The message passing microkernel based operating system is a class of operating system in which the policies are implemented using servers whose co-operation is supported by using a small hardware dependent layer called a microkernel. This thesis addresses the issue of reducing the performance deficiency by documenting the synthesis, development, implementation and assessment of a methodology and mechanisms for monitoring the performance of a message passing microkernel based operating system and supported processes. The methodology has been extensively evaluated to ensure that it can be used successfully to monitor performance.

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The use of emerging technologies ( such as RFID - Radio Frequency Identification and remote sensing) can be employed to reduce health care costs and also to facilitate the automatic streamlining of infectious disease outbreak detection and monitoring processes in local health departments. It can assist medical practitioners with fast and accurate diagnosis and treatments. In this paper we outline the design and application of a real-time RFID and sensor-base Early Infectious (e.g., cholera) Outbreak Detection and Monitoring (IODM) system for health care.

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System monitoring and fault diagnosis capabilities are the most important aspects in improving safety and reliability of automatic control systems. This research proposed new methodologies on fault diagnosis and estimation for complex uncertain systems. As a result of this research, complex industrial plants can now be more effectively controlled.

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In this paper, we present a novel person detection system for public transport buses tackling the problem of changing illumination conditions. Our approach integrates a stable SIFT (Scale Invariant Feature Transform) background seat modeling mechanism with a human shape model into a weighted Bayesian framework to detect passengers on-board buses. SIFT background modeling extracts local stable features on the pre-annotated background seat areas and tracks these features over time to build a global statistical background model for each seat. Since SIFT features are partially invariant to lighting, this background model can be used robustly to detect the seat occupancy status even under severe lighting changes. The human shape model further confirms the existence of a passenger when a seat is occupied. This constructs a robust passenger monitoring system which is resilient to illumination changes. We evaluate the performance of our proposed system on a number of challenging video datasets obtained from bus cameras and the experimental results show that it is superior to state-of-art people detection systems.