790 resultados para fund performance evaluation
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Journal of Environmental Management, nº 82 p. 410–432
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Au Québec, des réseaux ont été implantés afin de contrer le manque d’intégration des services offerts aux personnes vivant avec un traumatisme cranio-cérébral (TCC). Toutefois, l’évaluation de leur performance est actuellement limitée par l’absence de description et de conceptualisation de leur performance. Le but de cette thèse est de poser les bases préliminaires d’un processus d’évaluation de la performance des réseaux TCC. Nos objectifs sont de 1) décrire les organisations, la nature et la qualité des liens ainsi que la configuration d’un réseau TCC; 2) connaître les perceptions des constituants du réseau quant aux forces, faiblesses, opportunités et menaces propres à cette forme organisationnelle; 3) documenter et comparer les perceptions de répondants provenant de divers types d’organisations quant à l’importance de 16 dimensions du concept de performance pour l’évaluation des réseaux TCC; 4) réconcilier les perceptions différentes afin de proposer une hiérarchisation consensuelle des dimensions de la performance. En utilisant la méthode de l’analyse du réseau social, nous avons décrit un réseau de petite taille, modérément dense et essentiellement organisé autour de quatre organisations fortement centralisées. Les constituants ont décrit leur réseau comme présentant autant de forces que de faiblesses. La majorité des enjeux rapportés étaient relatifs à l’Adaptation du réseau à son environnement et au Maintien des Valeurs. Par ailleurs, les représentants des 46 organisations membre d’un réseau TCC ont perçu les dimensions de la performance relatives à l’Atteinte des buts comme étant plus importantes que celles relatives aux Processus. La Capacité d’attirer la clientèle, la Continuité et la Capacité de s’adapter pour répondre aux besoins des clients étaient les trois dimensions les plus importantes, tandis que la Capacité de s’adapter aux exigences et aux tendances et la Quantité de soins et de services étaient les moins importants. Les groupes TRIAGE ont permis aux constituants de s’entendre sur l’importance accordée à chaque dimension et d’uniformiser leurs différentes perspectives. Bien que plusieurs étapes demeurent à franchir pour actualiser le processus d’évaluation de la performance des réseaux TCC québécois, nos travaux permettent de poser des bases scientifiques solides qui optimisent la pertinence et l’appropriation des résultats pour les étapes ultérieures.
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L’objet de cette thèse est l’élaboration d’un modèle logique de mesure du maintien des valeurs, ainsi que son opérationnalisation afin d’entreprendre l’évaluation de la performance des systèmes de santé. Le maintien des valeurs est l’une des quatre fonctions de la théorie de l’action sociale de T.Parsons permettant d’analyser les systèmes d’action. Les autres fonctions sont l’adaptation, la production et l’atteinte des buts. Cette théorie est la base du modèle EGIPSS (évaluation globale et intégrée de la performance des systèmes de santé), dans lequel cette thèse s’insère. La fonction étudiée correspond, dans l’oeuvre de T.Parsons, au sous-système culturel. Elle renvoie à l’intangible, soit à l’univers symbolique par lequel l’action prend son sens et les fonctions du système s’articulent. Le modèle logique de mesure du maintien des valeurs est structuré autour de deux concepts principaux, les valeurs individuelles et organisationnelles et la qualité de vie au travail. À travers les valeurs individuelles et organisationnelles, nous mesurons la hiérarchie et l’intensité des valeurs, ainsi que le niveau de concordance interindividuelle et le degré de congruence entre les valeurs individuelles et organisationnelles. La qualité de vie au travail est composée de plusieurs concepts permettant d’analyser et d’évaluer l’environnement de travail, le climat organisationnel, la satisfaction au travail, les réactions comportementales et l’état de santé des employés. La mesure de ces différents aspects a donné lieu à la conception de trois questionnaires et de trente indicateurs. Ma thèse présente, donc, chacun des concepts sélectionnés et leurs articulations, ainsi que les outils de mesure qui ont été construits afin d’évaluer la dimension du maintien des valeurs. Enfin, nous exposons un exemple d’opérationnalisation de ce modèle de mesure appliqué à deux hôpitaux dans la province du Mato Grosso du Sud au Brésil. Cette thèse se conclut par une réflexion sur l’utilisation de l’évaluation comme outil de gestion soutenant l’amélioration de la performance et l’imputabilité. Ce projet comportait un double enjeu. Tout d’abord, la conceptualisation de la dimension du maintien des valeurs à partir d’une littérature abondante, mais manquant d’intégration théorique, puis la création d’outils de mesure permettant de saisir autant les aspects objectifs que subjectifs des valeurs et de la qualité de vie au travail. En effet, on trouve dans la littérature de nombreuses disciplines et de multiples courants théoriques tels que la psychologie industrielle et organisationnelle, la sociologie, les sciences infirmières, les théories sur le comportement organisationnel, la théorie des organisations, qui ont conçu des modèles pour analyser et comprendre les perceptions, les attitudes et les comportements humains dans les organisations. Ainsi, l’intérêt scientifique de ce projet découle de la création d’un modèle dynamique et intégrateur offrant une synthèse des différents champs théoriques abordant la question de l’interaction entre les perceptions individuelles et collectives au travail, les conditions objectives de travail et leurs influences sur les attitudes et les comportements au travail. D’autre part, ce projet revêt un intérêt opérationnel puisqu’il vise à fournir aux décideurs du système de santé des connaissances et données concernant un aspect de la performance fortement négligé par la plupart des modèles internationaux d’évaluation de la performance.
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Travail dirigé présenté à la Faculté des sciences infirmières en vue de l’obtention du grade de Maître ès sciences (M.Sc.) en sciences infirmières option administration en sciences infirmières
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The country has witnessed tremendous increase in the vehicle population and increased axle loading pattern during the last decade, leaving its road network overstressed and leading to premature failure. The type of deterioration present in the pavement should be considered for determining whether it has a functional or structural deficiency, so that appropriate overlay type and design can be developed. Structural failure arises from the conditions that adversely affect the load carrying capability of the pavement structure. Inadequate thickness, cracking, distortion and disintegration cause structural deficiency. Functional deficiency arises when the pavement does not provide a smooth riding surface and comfort to the user. This can be due to poor surface friction and texture, hydro planning and splash from wheel path, rutting and excess surface distortion such as potholes, corrugation, faulting, blow up, settlement, heaves etc. Functional condition determines the level of service provided by the facility to its users at a particular time and also the Vehicle Operating Costs (VOC), thus influencing the national economy. Prediction of the pavement deterioration is helpful to assess the remaining effective service life (RSL) of the pavement structure on the basis of reduction in performance levels, and apply various alternative designs and rehabilitation strategies with a long range funding requirement for pavement preservation. In addition, they can predict the impact of treatment on the condition of the sections. The infrastructure prediction models can thus be classified into four groups, namely primary response models, structural performance models, functional performance models and damage models. The factors affecting the deterioration of the roads are very complex in nature and vary from place to place. Hence there is need to have a thorough study of the deterioration mechanism under varied climatic zones and soil conditions before arriving at a definite strategy of road improvement. Realizing the need for a detailed study involving all types of roads in the state with varying traffic and soil conditions, the present study has been attempted. This study attempts to identify the parameters that affect the performance of roads and to develop performance models suitable to Kerala conditions. A critical review of the various factors that contribute to the pavement performance has been presented based on the data collected from selected road stretches and also from five corporations of Kerala. These roads represent the urban conditions as well as National Highways, State Highways and Major District Roads in the sub urban and rural conditions. This research work is a pursuit towards a study of the road condition of Kerala with respect to varying soil, traffic and climatic conditions, periodic performance evaluation of selected roads of representative types and development of distress prediction models for roads of Kerala. In order to achieve this aim, the study is focused into 2 parts. The first part deals with the study of the pavement condition and subgrade soil properties of urban roads distributed in 5 Corporations of Kerala; namely Thiruvananthapuram, Kollam, Kochi, Thrissur and Kozhikode. From selected 44 roads, 68 homogeneous sections were studied. The data collected on the functional and structural condition of the surface include pavement distress in terms of cracks, potholes, rutting, raveling and pothole patching. The structural strength of the pavement was measured as rebound deflection using Benkelman Beam deflection studies. In order to collect the details of the pavement layers and find out the subgrade soil properties, trial pits were dug and the in-situ field density was found using the Sand Replacement Method. Laboratory investigations were carried out to find out the subgrade soil properties, soil classification, Atterberg limits, Optimum Moisture Content, Field Moisture Content and 4 days soaked CBR. The relative compaction in the field was also determined. The traffic details were also collected by conducting traffic volume count survey and axle load survey. From the data thus collected, the strength of the pavement was calculated which is a function of the layer coefficient and thickness and is represented as Structural Number (SN). This was further related to the CBR value of the soil and the Modified Structural Number (MSN) was found out. The condition of the pavement was represented in terms of the Pavement Condition Index (PCI) which is a function of the distress of the surface at the time of the investigation and calculated in the present study using deduct value method developed by U S Army Corps of Engineers. The influence of subgrade soil type and pavement condition on the relationship between MSN and rebound deflection was studied using appropriate plots for predominant types of soil and for classified value of Pavement Condition Index. The relationship will be helpful for practicing engineers to design the overlay thickness required for the pavement, without conducting the BBD test. Regression analysis using SPSS was done with various trials to find out the best fit relationship between the rebound deflection and CBR, and other soil properties for Gravel, Sand, Silt & Clay fractions. The second part of the study deals with periodic performance evaluation of selected road stretches representing National Highway (NH), State Highway (SH) and Major District Road (MDR), located in different geographical conditions and with varying traffic. 8 road sections divided into 15 homogeneous sections were selected for the study and 6 sets of continuous periodic data were collected. The periodic data collected include the functional and structural condition in terms of distress (pothole, pothole patch, cracks, rutting and raveling), skid resistance using a portable skid resistance pendulum, surface unevenness using Bump Integrator, texture depth using sand patch method and rebound deflection using Benkelman Beam. Baseline data of the study stretches were collected as one time data. Pavement history was obtained as secondary data. Pavement drainage characteristics were collected in terms of camber or cross slope using camber board (slope meter) for the carriage way and shoulders, availability of longitudinal side drain, presence of valley, terrain condition, soil moisture content, water table data, High Flood Level, rainfall data, land use and cross slope of the adjoining land. These data were used for finding out the drainage condition of the study stretches. Traffic studies were conducted, including classified volume count and axle load studies. From the field data thus collected, the progression of each parameter was plotted for all the study roads; and validated for their accuracy. Structural Number (SN) and Modified Structural Number (MSN) were calculated for the study stretches. Progression of the deflection, distress, unevenness, skid resistance and macro texture of the study roads were evaluated. Since the deterioration of the pavement is a complex phenomena contributed by all the above factors, pavement deterioration models were developed as non linear regression models, using SPSS with the periodic data collected for all the above road stretches. General models were developed for cracking progression, raveling progression, pothole progression and roughness progression using SPSS. A model for construction quality was also developed. Calibration of HDM–4 pavement deterioration models for local conditions was done using the data for Cracking, Raveling, Pothole and Roughness. Validation was done using the data collected in 2013. The application of HDM-4 to compare different maintenance and rehabilitation options were studied considering the deterioration parameters like cracking, pothole and raveling. The alternatives considered for analysis were base alternative with crack sealing and patching, overlay with 40 mm BC using ordinary bitumen, overlay with 40 mm BC using Natural Rubber Modified Bitumen and an overlay of Ultra Thin White Topping. Economic analysis of these options was done considering the Life Cycle Cost (LCC). The average speed that can be obtained by applying these options were also compared. The results were in favour of Ultra Thin White Topping over flexible pavements. Hence, Design Charts were also plotted for estimation of maximum wheel load stresses for different slab thickness under different soil conditions. The design charts showed the maximum stress for a particular slab thickness and different soil conditions incorporating different k values. These charts can be handy for a design engineer. Fuzzy rule based models developed for site specific conditions were compared with regression models developed using SPSS. The Riding Comfort Index (RCI) was calculated and correlated with unevenness to develop a relationship. Relationships were developed between Skid Number and Macro Texture of the pavement. The effort made through this research work will be helpful to highway engineers in understanding the behaviour of flexible pavements in Kerala conditions and for arriving at suitable maintenance and rehabilitation strategies. Key Words: Flexible Pavements – Performance Evaluation – Urban Roads – NH – SH and other roads – Performance Models – Deflection – Riding Comfort Index – Skid Resistance – Texture Depth – Unevenness – Ultra Thin White Topping
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The performance benefit when using Grid systems comes from different strategies, among which partitioning the applications into parallel tasks is the most important. However, in most cases the enhancement coming from partitioning is smoothed by the effect of the synchronization overhead, mainly due to the high variability of completion times of the different tasks, which, in turn, is due to the large heterogeneity of Grid nodes. For this reason, it is important to have models which capture the performance of such systems. In this paper we describe a queueing-network-based performance model able to accurately analyze Grid architectures, and we use the model to study a real parallel application executed in a Grid. The proposed model improves the classical modelling techniques and highlights the impact of resource heterogeneity and network latency on the application performance.
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Dense deployments of wireless local area networks (WLANs) are fast becoming a permanent feature of all developed cities around the world. While this increases capacity and coverage, the problem of increased interference, which is exacerbated by the limited number of channels available, can severely degrade the performance of WLANs if an effective channel assignment scheme is not employed. In an earlier work, an asynchronous, distributed and dynamic channel assignment scheme has been proposed that (1) is simple to implement, (2) does not require any knowledge of the throughput function, and (3) allows asynchronous channel switching by each access point (AP). In this paper, we present extensive performance evaluation of this scheme when it is deployed in the more practical non-uniform and dynamic topology scenarios. Specifically, we investigate its effectiveness (1) when APs are deployed in a nonuniform fashion resulting in some APs suffering from higher levels of interference than others and (2) when APs are effectively switched `on/off' due to the availability/lack of traffic at different times, which creates a dynamically changing network topology. Simulation results based on actual WLAN topologies show that robust performance gains over other channel assignment schemes can still be achieved even in these realistic scenarios.
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This paper presents the results of the crowd image analysis challenge, as part of the PETS 2009 workshop. The evaluation is carried out using a selection of the metrics available in the Video Analysis and Content Extraction (VACE) program and the CLassification of Events, Activities, and Relationships (CLEAR) consortium. The evaluation highlights the strengths of the authors’ systems in areas such as precision, accuracy and robustness.
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In this paper, we evaluate the Probabilistic Occupancy Map (POM) pedestrian detection algorithm on the PETS 2009 benchmark dataset. POM is a multi-camera generative detection method, which estimates ground plane occupancy from multiple background subtraction views. Occupancy probabilities are iteratively estimated by fitting a synthetic model of the background subtraction to the binary foreground motion. Furthermore, we test the integration of this algorithm into a larger framework designed for understanding human activities in real environments. We demonstrate accurate detection and localization on the PETS dataset, despite suboptimal calibration and foreground motion segmentation input.
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This paper presents the results of the crowd image analysis challenge of the Winter PETS 2009 workshop. The evaluation is carried out using a selection of the metrics developed in the Video Analysis and Content Extraction (VACE) program and the CLassification of Events, Activities, and Relationships (CLEAR) consortium [13]. The evaluation highlights the detection and tracking performance of the authors’systems in areas such as precision, accuracy and robustness. The performance is also compared to the PETS 2009 submitted results.
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Researchers in the rehabilitation engineering community have been designing and developing a variety of passive/active devices to help persons with limited upper extremity function to perform essential daily manipulations. Devices range from low-end tools such as head/mouth sticks to sophisticated robots using vision and speech input. While almost all of the high-end equipment developed to date relies on visual feedback alone to guide the user providing no tactile or proprioceptive cues, the “low-tech” head/mouth sticks deliver better “feel” because of the inherent force feedback through physical contact with the user's body. However, the disadvantage of a conventional head/mouth stick is that it can only function in a limited workspace and the performance is limited by the user's strength. It therefore seems reasonable to attempt to develop a system that exploits the advantages of the two approaches: the power and flexibility of robotic systems with the sensory feedback of a headstick. The system presented in this paper reflects the design philosophy stated above. This system contains a pair of master-slave robots with the master being operated by the user's head and the slave acting as a telestick. Described in this paper are the design, control strategies, implementation and performance evaluation of the head-controlled force-reflecting telestick system.
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The rapid growth of non-listed real estate funds over the last several years has contributed towards establishing this sector as a major investment vehicle for gaining exposure to commercial real estate. Academic research has not kept up with this development, however, as there are still only a few published studies on non-listed real estate funds. This paper aims to identify the factors driving the total return over a seven-year period. Influential factors tested in our analysis include the weighted underlying direct property returns in each country and sector as well as fund size, investment style gearing and the distribution yield. Furthermore, we analyze the interaction of non-listed real estate funds with the performance of the overall economy and that of competing asset classes and found that lagged GDP growth and stock market returns as well as contemporaneous government bond rates are significant and positive predictors of annual fund performance.
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An unlisted property fund is a private investment vehicle which aims to provide direct property total returns and may also employ financial leverage which will accentuate performance. They have become a far more prevalent institutional property investment conduit since the early 2000’s. Investors have been primarily attracted to them due to the ease of executing a property exposure, both domestically and internationally, and for their diversification benefits given the capital intensive nature of constructing a well diversified commercial property investment portfolio. However, despite their greater prominence there has been little academic research conducted on the performance and risks of unlisted property fund investments. This can be attributed to a paucity of available data and limited time series where it exists. In this study we have made use of a unique dataset of institutional UK unlisted non-listed property funds over the period 2003Q4 to 2011Q4, using a panel modelling framework in order to determine the key factors which impact on fund performance. The sample provided a rich set of unlisted property fund factors including market exposures, direct property characteristics and the level of financial leverage employed. The findings from the panel regression analysis show that a small number of variables are able to account for the performance of unlisted property funds. These variables should be considered by investors when assessing the risk and return of these vehicles. The impact of financial leverage upon the performance of these vehicles through the recent global financial crisis and subsequent UK commercial property market downturn was also studied. The findings indicate a significant asymmetric effect of employing debt finance within unlisted property funds.