In this paper, we present a automatic item classification system,called AICS. This system is according the content structure that are provided from the teacher for create a content tree. This content tree can correlate the item with content. The main works of AICS classify the item and find the most similar content. After than the system compute the relationship between the item and content, AICS can automatic compute the difficulty of item and examination. The work of this research has two categories: 1. The system can show the content that are related to the item and help the teacher understand the difficulty of the examination paper quickly. 2. When after the examination, the system provide the content for student understand the irrelevant items.

The construction industry is known for its high accident rate which leads to numerous fatalities every year. Currently, the Occupational Safety and Health Administration (OSHA) requires injury/illness recording forms to be completed only for injuries requiring medical treatment and fatalities. The assertion of this paper is that underlying problems can be best determined through the causes of first-aid injuries that have the potential to prevent serious injuries in the future. Therefore, by classifying and recording first-aid cases on project sites, the common trend type of injury can be followed and appropriate measures can be taken to eliminate hazards. The main objective of this research is to establish a comprehensive standardized database to record first-aid injury cases, injuries requiring medical treatment and fatalities all in one. The recording format described in this research will facilitate the analysis of the data in a more effective manner which can subsequently be used to develop pre-emptive measures to eliminate common causes for construction injuries. In order, to create the Form, 900 sets of injury data were obtained from an industrial construction firm and analyzed. These data provided a good indication of the classification system adopted by industries today. The proposed Injury and Illness Database/Form (I

Reservoirs represent a relatively young element of the U.S. landscape, with most reservoirs being built within the last century. Despite their recreational, ecological, and socioeconomic importance, reservoirs nationwide are suffering from severe habitat degradation. Habitat impairments related to siltation, eutrophication, poor water quality, water regime, lack of submerged structure, and macrophyte invasions affect reservoirs to differing degrees in different reservoirs. To adequately assess these issues, we needed to develop a classification system within which an assessment mechanism could function. I collected data for large reservoirs across the conterminous U.S. regarding fish habitat impairments and status of the fish community and recreational fishery. Using these data, I developed a fish habitat classification system for large U.S. reservoirs, which can be used to better understand differences among reservoirs, develop habitat management expectations, and prioritize conservation efforts.

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Thesis (MSc)--Stellenbosch University, 2015. / ENGLISH ABSTRACT: Rock falls are the cause of the majority of mining-related injuries and fatalities in deep tabular South African mines. The standard process of entry examination is performed before working shifts and after blasting to detect structurally loose rocks. This process is performed by a miner using a pinch bar to ‘sound’ a rock by striking it and making a judgement based on the frequency response of the resultant sound. The Electronic Sounding Device (ESD) developed by the CSIR aims to assist in this process by performing a concurrent prediction of the structural state of the rock based on the acoustic waveform generated in the sounding process. This project aimed to identify, develop and deploy an effective classification model to be used on the ESD to perform this assessment. The project was undertaken in three main stages: the collection of labelled acoustic samples from working areas; the extraction of descriptive features from the waveforms; and the competitive evaluation of suitable classification models. Acoustic samples of the sounding process were recorded at the Driefontein mine operation by teams of Gold Fields employees. The samples were recorded in working areas on each of the four reefs that were covered by the shafts of the mine complex. Samples were labelled as ‘safe’ or ‘unsafe’ to indicate an expert’s judgement of the rock’s structural state. A laboratory-controlled environment was also created to provide a platform from which to collect acoustic samples with objective labelling. Three sets of features were extracted from the acoustic waveforms to form a descriptive feature dataset: four statistical moments of the frequency distribution of the waveform formed; the average energy contained in 16 discrete frequency bands in the data; and 12 Mel Frequency Cepstral Coefficients (MFCCs). Classification models from four model families were competitively evaluated for best accuracy in predicting structural states. The models evaluated were k-nearest neighbours, self-organising maps, decision trees, random forests, logistic regression, neural networks, and support vector machines with radial basis function and polynomial kernels. The sensitivity of the models, i.e. their ability to avoid predicting a ‘safe’ status when the rock mass was actually loose, was used as the critical performance measure. A single-hidden-layer feed-forward neural network with 15 nodes in the hidden layer and a sigmoid activation function was found to best suited for acoustic classification on the ESD. Additional feature selection was performed to identify the optimised form of the model. The final model was successfully implemented on the ESD platform. / AFRIKAANSE OPSOMMING: Rotsstortings is die oorsaak van die meerderheid van mynbouverwante ongelukke en ongevalle in diep tabulêre Suid-Afrikaanse myne. Die standaard proses van pretoegang ondersoeke om strukturele los rotse te erken, word uitgevoer voor enige werkskof en na skietwerk. Dit word gedoen deur ‘n myner wat ‘n breekyster teen die rots kap en ‘n oordeel vel op die frekwensie weergawe van die gevolglike klank. Die ‘Elektroniese Klinking Toestel’ (Electronic Sounding Device, ESD) is ontwikkel deur die WNNR met die doel om die proses te ondersteun. Dit word gedoen deur ‘n gelyktydige voorspelling van die strukturele toestand gebaseer op die akoestiese golfvorm gegenereer in die proses van klinking. Die projek stel ten doel om ’n effektiewe klassifikasie-model te identifiseer, te ontwikkel en toe te pas in die ESD om hierdie assessering uit te voer. Die projek vind in drie stadiums plaas: die insameling van geëtiketteerde akoestiese monsters van die werkareas; die ekstraksie van beskrywende kenmerke van die golfvorms en die mededingende evaluering van geskikte klassifiseringsmodelle. Klinking akoestiese monsters is opgeneem by Driefontein mynbouoperasie deur spanne van Gold Fields se werknemers. Die akoestiese monsters is opgeneem in werkareas van elk van die vier goudriwwe wat deur die skagte van die mynkompleks gedek word. Monsters is as ‘veilig’ of ‘onveilig’ geëtiketteer as aanduiding van die ekspert se oordeel van die rots se strukturele toestand. ‘n Laboratorium gekontroleerde omgewing is ook geskep om ’n platform te skep vanwaar akoestiese monsters met objektiewe etikettering waargeneem word. Drie stelle van kenmerke is onttrek van die akoestiese golfvorms om ‘n beskrywende datastel van kenmerke te vorm: vier statistiese momente van die frekwensie verspreiding van die gevormde golfvorm; gemiddelde energie ingesluit in sestien diskrete frekwensiebande in die data; en twaalf ‘Mel Frequency Cepstrum Coefficients’ (MFCCs). Klassifikasie modelle van die vier modelsamestellings was kompeterend geëvalueer vir die beste akkuraatheid in voorspellings van strukturele toestande. Klassifikasie modelle het k-naaste bure, selforganiserende kaarte, besluitnemingsbome, lukrake woude, logistieke regressie, neurale netwerke en steun-vektor masjiene met radiale basisfunksie en polinominale kerne. Die meting van die sensitiwiteit van die modelle, met betrekking tot die vermoë van die modelle om veilige voorspellings te beperk wanneer die rotsmassa los is, was gebruik as ’n kritiese werksverrigtingsmeting. ‘n Enkel-verskuilde-laag neurale netwerk met 15 nodes in die verskuilde laag en ’n sigmoïde aktiveringsfunksie is gevind as die mees geskikte vir die ESD. Addisionele keuse van kenmerke is uitgevoer deur die geoptimiseerde vorm van die model te identifiseer. Die model was suksesvol geïmplementeer op die ESD platform.

The purpose of the research was to explicate the use of graphic residual analysis as one strategy for model development in nursing. The research question concerned the use, decisions made, criteria for those decisions and issues resulting from the use of graphic residual analysis in model building. Graphic residual analysis was used as an exploratory methodology to test and respecify the Arizona Health Sciences Center Patient Classification model. A sample of 852 patient classifications, covering all inpatient units at Arizona Health Sciences Center, with the exception of psychiatry, was used for model building. The model developed was a causal model using regression analysis as the statistical technique. Two major sets of assumptions concerning this approach were tested. The mathematic assumptions of the regression analysis consisted of a zero mean, equal variance, independence and normal distribution of the residuals. The causal model assumptions considered were that residuals from each equation met the mathematic assumption, residuals from one equation were uncorrelated with residuals of any other equation, all relevant variables were in the model, there was no measurement error and the functional relationship was correct. Both sets of assumptions were tested by using graphic residual analysis. The primary contribution of this study to nursing research was to begin to evolve criteria to determine when threats to assumptions were sufficient to cause difficulty with the modeling process and criteria for actions to be taken to correct those threats. Findings included that graphic residual analysis was; effective with models of several levels of explained variance, of assistance in determining the parameters of design matrices in exploratory research and valuable in determining the creation of categorical variables as indicators of populations for which the model did not perform. Criteria for dealing with problems such as measurement error, model redundancy, model closure, and parsimony were evolved.

Objective: Evaluation of surgical quality ensures consistency of care and facilitates improvements in the quality of care delivered. Methods: An overview of surgical quality measurement is presented. A system for monitoring thoracic morbidity and mortality (TM&M) at the Ottawa Hospital is introduced and evaluated. Results of a needs assessment survey on the involvement in thoracic surgical research and quality improvement initiatives are presented. Results: Structure, process, and outcomes reflect different viewpoints on how to evaluate surgical quality. The feasibility of the TM&M system is evaluated using descriptive and univariate statistics, while its inter-rater reliability is assessed amongst the Canadian Association of Thoracic Surgeons. Conclusions: Outcomes have been fundamental in the evaluation of surgical quality. TM&M classification system advocates for a practice of continuous quality improvement and provides standardized and reliable feedback on surgical outcomes. Results of the needs assessment have built a strong foundation of knowledge on prospective ways to enhance the monitoring of surgical quality.

Objective: Evaluation of surgical quality ensures consistency of care and facilitates improvements in the quality of care delivered. Methods: An overview of surgical quality measurement is presented. A system for monitoring thoracic morbidity and mortality (TM&M) at the Ottawa Hospital is introduced and evaluated. Results of a needs assessment survey on the involvement in thoracic surgical research and quality improvement initiatives are presented. Results: Structure, process, and outcomes reflect different viewpoints on how to evaluate surgical quality. The feasibility of the TM&M system is evaluated using descriptive and univariate statistics, while its inter-rater reliability is assessed amongst the Canadian Association of Thoracic Surgeons. Conclusions: Outcomes have been fundamental in the evaluation of surgical quality. TM&M classification system advocates for a practice of continuous quality improvement and provides standardized and reliable feedback on surgical outcomes. Results of the needs assessment have built a strong foundation of knowledge on prospective ways to enhance the monitoring of surgical quality.

Objective: Evaluation of surgical quality ensures consistency of care and facilitates improvements in the quality of care delivered. Methods: An overview of surgical quality measurement is presented. A system for monitoring thoracic morbidity and mortality (TM&M) at the Ottawa Hospital is introduced and evaluated. Results of a needs assessment survey on the involvement in thoracic surgical research and quality improvement initiatives are presented. Results: Structure, process, and outcomes reflect different viewpoints on how to evaluate surgical quality. The feasibility of the TM&M system is evaluated using descriptive and univariate statistics, while its inter-rater reliability is assessed amongst the Canadian Association of Thoracic Surgeons. Conclusions: Outcomes have been fundamental in the evaluation of surgical quality. TM&M classification system advocates for a practice of continuous quality improvement and provides standardized and reliable feedback on surgical outcomes. Results of the needs assessment have built a strong foundation of knowledge on prospective ways to enhance the monitoring of surgical quality.

Made available in DSpace on 2014-06-11T19:22:25Z (GMT). No. of bitstreams: 0 Previous issue date: 2009-02-16Bitstream added on 2014-06-13T18:49:03Z : No. of bitstreams: 1 prado_fa_me_prud.pdf: 2522184 bytes, checksum: a4acb46054fde8c9233bacf1d5c21128 (MD5) / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) / Os mapeamentos da cobertura da terra apresentam o relevante papel de permitir avaliar as alterações na paisagem provocadas pela ação antrópica e fornecer importantes informações para o manejo eficiente dos recursos naturais constituindo-se, assim, em ferramentas essenciais para o planejamento regional e urbano. Entretanto, os atuais mapeamentos atendem a propósitos muito específicos e, conseqüentemente, são limitados na sua capacidade de definir a ampla variedade de tipos existentes de cobertura da terra. Nesse contexto, a proposta central desta pesquisa é desenvolver um sistema hierárquico de classificação, amplo e abrangente, partindo de um nível generalizado de definição de classes de cobertura da terra, para mapeamentos em escala regional, e especializando essas classes para ambientes urbanos. Para cada escala de mapeamento é proposta a nomenclatura das classes e os critérios usados para defini-las. Um estudo de caso é desenvolvido para testar o sistema hierárquico em dois níveis de detalhamento distintos, nas escalas regional e urbana, e são utilizadas diferentes abordagens de classificação multiespectral para extrair as informações temáticas de interesse a cada nível de aplicação... / Land cover mappings present the relevant role of allowing to evaluate the changes in the landscape caused by the man's action and to supply important information for the efficient handling of the natural resources. Thus, those are essential tools for the regional and urban planning. However, current mappings are related to very specific purposes and, consequently, they are limited in their capacity to define the wide variety of existent types of land cover. In that context, the main proposal of this research is to develop a wide and including hierarchical classification system, starting from a generalized level of definition of land cover classes for mappings in regional scale and specializing those classes for urban environment. It is proposed the nomenclature of the classes and the criteria used to define them for each scale of mapping. A study case is developed to test the hierarchical system in two detailing levels, in the regional and urban scales, and different approaches of multispectral classification are used to extract the thematic information of interest to each application level... (Complete abstract click electronic access below)