894 resultados para System Performance Measures.


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The Electromyography (EMG) is an important tool for gait analyzes and disorders diagnoses. Traditional methods involve equipment that can disturb the analyses, being gradually substituted by different approaches, like wearable and wireless systems. The cable replacement for autonomous systems demands for technologies capable of meeting the power constraints. This work presents the development of an EMG and kinematic data capture wireless module, designed taking into account power consumption issues. This module captures and converts the analog myoeletric signal to digital, synchronously with the capture of kinetic information. Both data are time multiplexed and sent to a PC via Bluetooth link. The work carried out comprised the development of the hardware, the firmware and a graphical interface running in an external PC. The hardware was developed using the PIC18F14K22, a low power family of microcontrollers. The link was established via Bluetooth, a protocol designed for low power communication. An application was also developed to recover and trace the signal to a Graphic User Interface (GUI), coordinating the message exchange with the firmware. Results were obtained which allowed validating the conceived system in static and with the subject performing short movements. Although it was not possible to perform the tests within more dynamic movements, it is shown that it is possible to capture, transmit and display the captured data as expected. Some suggestions to improve the system performance also were made.

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Dissertação para obtenção do Grau de Mestre em Engenharia e Gestão Industrial

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This work aims to identify and rank a set of Lean and Green practices and supply chain performance measures on which managers should focus to achieve competitiveness and improve the performance of automotive supply chains. The identification of the contextual relationships among the suggested practices and measures, was performed through literature review. Their ranking was done by interviews with professionals from the automotive industry and academics with wide knowledge on the subject. The methodology of interpretive structural modelling (ISM) is a useful methodology to identify inter relationships among Lean and Green practices and supply chain performance measures and to support the evaluation of automotive supply chain performance. Using the ISM methodology, the variables under study were clustered according to their driving power and dependence power. The ISM methodology was proposed to be used in this work. The model intends to provide a better understanding of the variables that have more influence (driving variables), the others and those which are most influenced (dependent variables) by others. The information provided by this model is strategic for managers who can use it to identify which variables they should focus on in order to have competitive supply chains.

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The purpose of this thesis is to investigate how far the education level of the second or third generation of publicly traded German family firms affects the post-succession firm performance. By conducting a correlational and regression design, the aim is to examine how several variables influence the performance of family firms. Performance measures, for example ROA and Tobin’s q and variables, like Education level and succession periods, examine analytically that a positive succession trend will occur. However, with the used model, only a less rigid model shows empirical evidence.

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Dissertação de mestrado integrado em Engenharia e Gestão Industrial

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Dissertação de mestrado em Engenharia Industrial

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Tese de Doutoramento em Engenharia Civil.

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This paper documents and studies the gender gap in performance among associatelawyers in the United States. Unlike most high-skilled professions, the legal professionhas widely-used objective methods to measure and reward lawyers' productivity: thenumber of hours billed to clients and the amount of new-client revenue generated. Wefind clear evidence of a gender gap in annual performance with respect to bothmeasures. Male lawyers bill ten-percent more hours and bring in more than double thenew-client revenue. We show that the differential impact across genders in the presenceof young children and the differences in aspirations to become a law-firm partneraccount for a large part of the difference in performance. These performance gaps haveimportant consequences for gender gaps in earnings. While individual and firmcharacteristics explain up to 50 percent of earnings gap, the inclusion of performancemeasures explains most of the remainder.

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The DOT monitors performance of five core functions, under which are eight services, products and activities (SPAs). In all, 56 measures are used to monitor the core functions and SPAs in the DOT’s performance plan. (See Iowa DOT Performance Report – FY2009, pages 1A-9A.) Overall, DOT’s performance was good in fiscal year 2009. Of the 56 measures in the DOT’s performance plan, 43 measures (77%) met or exceeded their targets. Of the 13 measures falling short, ten were within four percent of their target. This means 95 percent of DOT measures met or exceeded 96 percent of their preset target. Performance measures monitoring the core functions of Physical Asset Management and Resource Management showed the DOT did a good job managing resources. A total of 11 of the 14 (79%) core function and SPA measures met or exceeded their predetermined targets. Two of the three measures falling short were within four percent of its target. Core function and SPA measures within the Transportation Systems core function indicated good performance. A total of 22 of the 30 (73%) core function and SPA measures met or exceeded their predetermined targets. Overall, six of the eight measures falling short were within four percent of their target. Performance measures monitoring the core functions of Enforcement and Investigation and Regulation and Compliance showed the DOT performed well. A total of 10 of the 12 (83%) core function and SPA measures met or exceeded their predetermined targets. Both of the measures falling short were within four percent of their target.

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The Iowa Department of Transportation (DOT), working closely with the Federal Aviation Administration (FAA), strives to ensure that Iowa’s system of public airports is positioned to meet the needs of businesses, residents, and visitors to our state. Airports must be accessible and positioned to safely meet different levels of aviation activity. In partnership with the FAA and various cities, counties, and airport authorities, the Iowa DOT helps to direct the systematic development of public airports. This report is a summary of a more comprehensive technical report that outlines a strategic plan for improving the performance of airports in Iowa over the next 20 years. More information on the technical report and on individual reports prepared for each of the public airports can be obtained from the Iowa DOT, Office of Aviation website at www.iawings.com. The Iowa Aviation System Plan provides the Iowa DOT with an important tool to monitor the ability of airports to meet customer needs. The plan also provides a means to measure the effects of investment on the performance of the Iowa Aviation System. Over the next 20 years, federal, state, local, and private funding will be needed to ensure that the aviation system meets goals established in this study. It is estimated that at least $821 million will be needed over the next 20 years if airports in Iowa are to respond to objectives set by the system plan. In future years, the plan will enable the Iowa DOT to measure system performance. By tracking key indicators for the airport system, it will be possible for the Iowa DOT and the FAA to formulate strategies for responding to Iowa’s air transportation needs. The Iowa Aviation System Plan provides a guide for the state and its communities to ensure that the vision established for the Iowa Aviation System can be achieved.

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Achieving a high degree of dependability in complex macro-systems is challenging. Because of the large number of components and numerous independent teams involved, an overview of the global system performance is usually lacking to support both design and operation adequately. A functional failure mode, effects and criticality analysis (FMECA) approach is proposed to address the dependability optimisation of large and complex systems. The basic inductive model FMECA has been enriched to include considerations such as operational procedures, alarm systems. environmental and human factors, as well as operation in degraded mode. Its implementation on a commercial software tool allows an active linking between the functional layers of the system and facilitates data processing and retrieval, which enables to contribute actively to the system optimisation. The proposed methodology has been applied to optimise dependability in a railway signalling system. Signalling systems are typical example of large complex systems made of multiple hierarchical layers. The proposed approach appears appropriate to assess the global risk- and availability-level of the system as well as to identify its vulnerabilities. This enriched-FMECA approach enables to overcome some of the limitations and pitfalls previously reported with classical FMECA approaches.

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In June, 2007, the Commonwealth Fund released a report entitled, “Aiming Higher: Results from a State Scorecard on Health System Performance.” The report ranked states’ health care performance based upon four areas: access, quality, potentially avoidable use of hospitals and costs of care, and healthy lives. Iowa was ranked second overall and was the only state to rank in the top 25 percent on each of the four measures.1 Coupling the HEDIS measures and CAHPS survey results with the Commonwealth report outcomes provides additional information for determining how the state performs with regard to the health care system, in general, and the Medicaid program specifically. For the past five years the results of eight outcome measures encompassing children and adults, and preventive, chronic and acute care have been reported by the University of Iowa Public Policy Center (PPC). The PPC is the independent evaluator for the Medicaid managed care programs and assists the state in an effort to understand the process of care within the Medicaid program. Seven of the eight measures are recommended by the Centers for Medicare and Medicaid, while the eighth, annual dental visit, is used in recognition of the challenges found in providing dental care to Medicaid‐enrolled children and adults.

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The objective of this study is to systematically evaluate the Iowa Department of Transportation’s (DOT’s) existing Pavement Management Information System (PMIS) with respect to the input information required for Mechanistic-Empirical Pavement Design Guide (MEPDG) rehabilitation analysis and design. To accomplish this objective, all of available PMIS data for interstate and primary roads in Iowa were retrieved from the Iowa DOT PMIS. The retrieved data were evaluated with respect to the input requirements and outputs for the latest version of the MEPDG software (version 1.0). The input parameters that are required for MEPDG HMA rehabilitation design, but currently unavailable in the Iowa DOT PMIS were identified. The differences in the specific measurement metrics used and their units for some of the pavement performance measures between the Iowa DOT PMIS and MEPDG were identified and discussed. Based on the results of this study, it is recommended that the Iowa DOT PMIS should be updated, if possible, to include the identified parameters that are currently unavailable, but are required for MEPDG rehabilitation design. Similarly, the measurement units of distress survey results in the Iowa DOT PMIS should be revised to correspond to those of MEPDG performance predictions. *******************Large File**************************

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The objective of this research is to determine whether the nationally calibrated performance models used in the Mechanistic-Empirical Pavement Design Guide (MEPDG) provide a reasonable prediction of actual field performance, and if the desired accuracy or correspondence exists between predicted and monitored performance for Iowa conditions. A comprehensive literature review was conducted to identify the MEPDG input parameters and the MEPDG verification/calibration process. Sensitivities of MEPDG input parameters to predictions were studied using different versions of the MEPDG software. Based on literature review and sensitivity analysis, a detailed verification procedure was developed. A total of sixteen different types of pavement sections across Iowa, not used for national calibration in NCHRP 1-47A, were selected. A database of MEPDG inputs and the actual pavement performance measures for the selected pavement sites were prepared for verification. The accuracy of the MEPDG performance models for Iowa conditions was statistically evaluated. The verification testing showed promising results in terms of MEPDG’s performance prediction accuracy for Iowa conditions. Recalibrating the MEPDG performance models for Iowa conditions is recommended to improve the accuracy of predictions. ****************** Large File**************************

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Different factors influence ADL performance among nursing home (NH) residents in long term care. The aim was to investigate which factors were associated with a significant change of ADL performance in NH residents, and whether or not these factors were gender-specific. The design was a survival analysis. The 10,199 participants resided in ninety Swiss NHs. Their ADL performance had been assessed by the Resident Assessment Instrument Minimum Data Set (RAI-MDS) in the period from 1997 to 2007. Relevant change in ADL performance was defined as 2 levels of change on the ADL scale between two successive assessments. The occurrence of either an improvement or a degradation of the ADL status) was analyzed using the Cox proportional hazard model. The analysis included a total of 10,199 NH residents. Each resident received between 2 and 23 assessments. Poor balance, incontinence, impaired cognition, a low BMI, impaired vision, no daily contact with proxies, impaired hearing and the presence of depression were, by hierarchical order, significant risk factors for NH residents to experience a degradation of ADL performance. Residents, who were incontinent, cognitively impaired or had a high BMI were significantly less likely to improve their ADL abilities. Male residents with cancer were prone to see their ADL improve. The year of NH entry was significantly associated with either degradation or improvement of ADL performance. Measures aiming at improving balance and continence, promoting physical activity, providing appropriate nourishment and cognitive enhancement are important for ADL performance in NH residents.