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Academic literature on the topic 'Quality measures'

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Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Quality measures"

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Dodson, Thomas B. "Quality Measures Need Measures of Quality." Journal of Oral and Maxillofacial Surgery 74, no. 6 (June 2016): 1101–2. http://dx.doi.org/10.1016/j.joms.2016.03.032.

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Živković, Saša A., and Pushpa Narayanaswami. "Quality measures: Do they measure up?" Muscle & Nerve 57, no. 6 (March 3, 2018): 869–71. http://dx.doi.org/10.1002/mus.26084.

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Lau, Brandyn D., Michael B. Streiff, Peter J. Pronovost, and Elliott R. Haut. "Venous Thromboembolism Quality Measures Fail to Accurately Measure Quality." Circulation 137, no. 12 (March 20, 2018): 1278–84. http://dx.doi.org/10.1161/circulationaha.116.026897.

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STAHL, DULCELINA A. "Quality Measures." Nursing Management (Springhouse) 28, no. 8 (August 1997): 20???21. http://dx.doi.org/10.1097/00006247-199708010-00004.

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Baernholdt, Marianne, Nancy Dunton, Ronda G. Hughes, Patricia W. Stone, and Kathleen M. White. "Quality Measures." Journal of Nursing Care Quality 33, no. 2 (2018): 149–56. http://dx.doi.org/10.1097/ncq.0000000000000292.

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Ward, P. "Quality measures." British Dental Journal 211, no. 8 (October 2011): 345–46. http://dx.doi.org/10.1038/sj.bdj.2011.876.

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Rivara, Frederick P. "Pediatric Quality Measures." JAMA Pediatrics 170, no. 4 (April 1, 2016): 380. http://dx.doi.org/10.1001/jamapediatrics.2016.0005.

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Kalenderian, Elsbeth, Rachel Ramoni, Heiko Spallek, Joel White, and Muhammad Walji. "Quality measures everywhere." Journal of the American Dental Association 149, no. 4 (April 2018): 322–26. http://dx.doi.org/10.1016/j.adaj.2018.01.046.

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Herndon, Jill Boylston, and Craig W. Amundson. "Dental quality measures." Journal of the American Dental Association 150, no. 1 (January 2019): 4. http://dx.doi.org/10.1016/j.adaj.2018.11.016.

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Stefanacci, Richard G., and Albert Riddle. "Delivering on quality measures: Six new CMS SNF quality measures." Geriatric Nursing 37, no. 3 (May 2016): 231–34. http://dx.doi.org/10.1016/j.gerinurse.2016.04.004.

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Dissertations / Theses on the topic "Quality measures"

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Quackenbush, Schuyler Reynier. "Objective measures of speech quality." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/13376.

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Sousa, Sérgio Dinis Teixeira de. "Quality improvement measures in SMEs." Thesis, University of Birmingham, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.422289.

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Edwards, Matthew. "Data quality measures for identity resolution." Thesis, Lancaster University, 2018. http://eprints.lancs.ac.uk/124402/.

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The explosion in popularity of online social networks has led to increased interest in identity resolution from security practitioners. Being able to connect together the multiple online accounts of a user can be of use in verifying identity attributes and in tracking the activity of malicious users. At the same time, privacy researchers are exploring the same phenomenon with interest in identifying privacy risks caused by re-identification attacks. Existing literature has explored how particular components of an online identity may be used to connect profiles, but few if any studies have attempted to assess the comparative value of information attributes. In addition, few of the methods being reported are easily comparable, due to difficulties with obtaining and sharing ground- truth data. Attempts to gain a comprehensive understanding of the identifiability of profile attributes are hindered by these issues. With a focus on overcoming these hurdles to effective research, this thesis first develops a methodology for sampling ground-truth data from online social networks. Building on this with reference to both existing literature and samples of real profile data, this thesis describes and grounds a comprehensive matching schema of profile attributes. The work then defines data quality measures which are important for identity resolution, and measures the availability, consistency and uniqueness of the schema’s contents. The developed measurements are then applied in a feature selection scheme to reduce the impact of missing data issues common in identity resolution. Finally, this thesis addresses the purposes to which identity resolution may be applied, defining the further application-oriented data quality measurements of novelty, veracity and relevance, and demonstrating their calculation and application for a particular use case: evaluating the social engineering vulnerability of an organisation.
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Le, Ngoc Tien. "Advanced Quality Measures for Speech Translation." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAM002/document.

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Le principal objectif de cette thèse vise à estimer de manière automatique la qualité de la traduction de langue parlée (Spoken Language Translation ou SLT), appelée estimation de confiance (Confidence Estimation ou CE). Le système de SLT génère les hypothèses représentées par les séquences de mots pour l'audio qui contient parfois des erreurs. En raison de multiples facteurs, la sortie de SLT, ayant une qualité insatisfaisante, pourrait causer différents problèmes pour les utilisateurs finaux. Par conséquent, il est utile de savoir combien de confiance les tokens corrects pourraient être trouvés au sein de l'hypothèse. L'objectif de l'estimation de confiance consistait à obtenir des scores qui quantifient le niveau de confiance ou à annoter les tokens cibles en appliquant le seuil de décision (par exemple, seuil par défaut = 0,5). Dans le cadre de cette thèse, nous avons proposé un boîte à outils, qui consiste en un framework personnalisable, flexible et en une plate-forme portative, pour l'estimation de confiance au niveau de mots (Word-level Confidence Estimation ou WCE) de SLT.En premier lieu, les erreurs dans le SLT ont tendance à se produire sur les hypothèses de la reconnaissance automatique de la parole (Automatic Speech Recognition ou ASR) et sur celles de la traduction automatique (Machine Translation ou MT), qui sont représentées par des séquences de mots. Ce phénomène est étudié par l'estimation de confiance (CE) au niveau des mots en utilisant les modèles de champs aléatoires conditionnels (Conditional Random Fields ou CRF). Cette tâche, relativement nouvelle, est définie et formalisée comme un problème d'étiquetage séquentiel dans lequel chaque mot, dans l'hypothèse de SLT, est annoté comme bon ou mauvais selon un ensemble des traits importants. Nous proposons plusieurs outils servant d’estimer la confiance des mots (WCE) en fonction de notre évaluation automatique de la qualité de la transcription (ASR), de la qualité de la traduction (MT), ou des deux (combiner ASR et MT). Ce travail de recherche est réalisable parce que nous avons construit un corpus spécifique, qui contient 6.7k des énoncés pour lesquels un quintuplet est normalisé comme suit : (1) sortie d’ASR, (2) transcription en verbatim, (3) traduction textuelle, (4) traduction vocale et (5) post-édition de la traduction. La conclusion de nos multiples expérimentations, utilisant les traits conjoints entre ASR et MT pour WCE, est que les traits de MT demeurent les plus influents, tandis que les traits de ASR peuvent apporter des informations intéressantes complémentaires.En deuxième lieu, nous proposons deux méthodes pour distinguer des erreurs susceptibles d’ASR et de celles de MT, dans lesquelles chaque mot, dans l'hypothèse de SLT, est annoté comme good (bon), asr_error (concernant les erreurs d’ASR) ou mt_error (concernant les erreurs de MT). Nous contribuons donc à l’estimation de confiance au niveau de mots (WCE) pour SLT par trouver la source des erreurs au sein des systèmes de SLT.En troisième lieu, nous proposons une nouvelle métrique, intitulée Word Error Rate with Embeddings (WER-E), qui est exploitée afin de rendre cette tâche possible. Cette approche génère de meilleures hypothèses de SLT lors de l'optimisation de l'hypothèse de N-meilleure hypothèses avec WER-E.En somme, nos stratégies proposées pour l'estimation de la confiance se révèlent un impact positif sur plusieurs applications pour SLT. Les outils robustes d’estimation de la qualité pour SLT peuvent être utilisés dans le but de re-calculer des graphes de la traduction de parole ou dans le but de fournir des retours d’information aux utilisateurs dans la traduction vocale interactive ou des scénarios de parole aux textes assistés par ordinateur.Mots-clés: Estimation de la qualité, Estimation de confiance au niveau de mots (WCE), Traduction de langue parlée (SLT), traits joints, Sélection des traits
The main aim of this thesis is to investigate the automatic quality assessment of spoken language translation (SLT), called Confidence Estimation (CE) for SLT. Due to several factors, SLT output having unsatisfactory quality might cause various issues for the target users. Therefore, it is useful to know how we are confident in the tokens of the hypothesis. Our first contribution of this thesis is a toolkit LIG-WCE which is a customizable, flexible framework and portable platform for Word-level Confidence Estimation (WCE) of SLT.WCE for SLT is a relatively new task defined and formalized as a sequence labelling problem where each word in the SLT hypothesis is tagged as good or bad accordingto a large feature set. We propose several word confidence estimators (WCE) based on our automatic evaluation of transcription (ASR) quality, translation (MT) quality,or both (combined/joint ASR+MT). This research work is possible because we built a specific corpus, which contains 6.7k utterances for which a quintuplet containing: ASRoutput, verbatim transcript, text translation, speech translation and post-edition of the translation is built. The conclusion of our multiple experiments using joint ASR and MT features for WCE is that MT features remain the most influent while ASR features can bring interesting complementary information.As another contribution, we propose two methods to disentangle ASR errors and MT errors, where each word in the SLT hypothesis is tagged as good, asr_error or mt_error.We thus explore the contributions of WCE for SLT in finding out the source of SLT errors.Furthermore, we propose a simple extension of WER metric in order to penalize differently substitution errors according to their context using word embeddings. For instance, the proposed metric should catch near matches (mainly morphological variants) and penalize less this kind of error which has a more limited impact on translation performance. Our experiments show that the correlation of the new proposed metric with SLT performance is better than the one of WER. Oracle experiments are also conducted and show the ability of our metric to find better hypotheses (to be translated) in the ASR N-best. Finally, a preliminary experiment where ASR tuning is based on our new metric shows encouraging results.To conclude, we have proposed several prominent strategies for CE of SLT that could have a positive impact on several applications for SLT. Robust quality estimators for SLT can be used for re-scoring speech translation graphs or for providing feedback to the user in interactive speech translation or computer-assisted speech-to-text scenarios.Keywords: Quality estimation, Word confidence estimation (WCE), Spoken Language Translation (SLT), Joint Features, Feature Selection
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Cassady, Charles Richard. "Statistical quality control techniques using multilevel discrete product quality measures." Diss., This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-06062008-151120/.

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Axelson, Per-Erik. "Quality Measures of Halftoned Images (A Review)." Thesis, Linköping University, Department of Science and Technology, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1138.

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This study is a thesis for the Master of Science degree in Media Technology and Engineering at the Department of Science and Technology, Linkoping University. It was accomplished from November 2002 to May 2003.

Objective image quality measures play an important role in various image processing applications. In this paper quality measures applied on halftoned images are aimed to be in focus. Digital halftoning is the process of generating a pattern of binary pixels that create the illusion of a continuous- tone image. Algorithms built on this technique produce results of very different quality and characteristics. To evaluate and improve their performance, it is important to have robust and reliable image quality measures. This literature survey is to give a general description in digital halftoning and halftone image quality methods.

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Goyal, Kamal. "QUALITY OF SERVICE MEASURES AT SIGNALIZED INTERSECTIONS." Master's thesis, University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4280.

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The concept of using qualitative measures to describe the quality of service at signalized intersections provided by different designs and controls has been discussed in numerous conferences. Such measures may include driver's comfort, convenience, anxiety, and preferences. The primary objective of this study was to demonstrate the feasibility of using the University of Central Florida's interactive driving simulator to execute several scenarios involving different unusual design and operation practices to measure the quality of service at a signalized intersection. This thesis describes the scenarios, the experiments conducted, the data collected, and analysis of results. Signalized intersections with 3 types of characteristic features were identified for this study. They included 1. A lane dropping on the downstream side of the intersection 2. Misalignment of traffic lanes between the approach and downstream side 3. Shared left turn and through traffic lane or separate lanes for each approaching the intersection The experimental phase consisted of a brief orientation session to get acclimated to the driving simulator followed by two driving scenarios presented to all subjects. Each scenario consisted of a drive through an urban section of the simulator's visual data base where each subject encountered a Type 1, 2 and 3 intersections. A total of 40 subjects, 25 males and 15 females were recruited for the experiment. Data logging at 60 Hz for each scenario consisted of time-stamped values of x-position and y-position of the simulator vehicle, steering, accelerator and brake inputs by the driver, and vehicle speed. After the experiment a questionnaire soliciting opinions and reactions about each intersection was administered. Simulator experiment results showed that there was a significant difference between the merge lengths for the two cases of Type 1 intersection (lane drop on the downstream side of the intersection). For Type 2 intersection (misalignment of traffic lanes between the approach and downstream side) there was a considerable difference between the average paths followed by subjects for the two cases. For Type 3 intersection (shared left and through traffic lane approaching the intersection) the simulator experiment supported the fact that people get frustrated when trapped behind a left turning vehicle in a joint left and through lane intersection and take evasive actions to cross the intersection as soon as possible.
M.S.
Department of Civil and Environmental Engineering
Engineering and Computer Science
Civil Engineering
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Freitas, Pedro Garcia. "Using texture measures for visual quality assessment." reponame:Repositório Institucional da UnB, 2017. http://repositorio.unb.br/handle/10482/31686.

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Tese (doutorado)—Universidade de Brasília, Instituto de Ciências Exatas, Departamento de Ciência da Computação, 2017.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES).
Na última década, diversas aplicações multimídia tem gerado e distribuído conteúdos de imagens e vídeos digitais. Serviços de multimídia que tem ganhado um vasto interesse incluem televisão digital, jogos de vídeo e aplicações em tempo real operando sobre a Internet. De acordo com predições da CiscoTM, a percentagem do tráfego de dados de vídeo sobre a Internet era de 53% em 2014 e superará os 67% em 2018. Devido à esse aumento na demanda de conteúdo de dados visuais, a necessidade de métodos e ferramentas que estimem a qualidade da experiência (QoE) do consumidor é enorme. Entre os aspectos que contribuem para a QoE, a qualidade dos estímulos visuais é uma das maiores propriedades, pois pode ser alterada em diversos estágios da cadeia de comunicação, tal como na captura, na transmissão, ou na reprodução do conteúdo. Considerando que os avaliadores naturais da qualidade visual são seres humanos, a estratégia básica para medir a qualidade visual consiste na realização de experimentos subjetivos. Esses experimentos são geralmente realizados com participantes humanos em laboratórios preparados com um ambiente controlado. Esses participantes avaliam a qualidade de um dado estimulo visual (imagem ou vídeo) e atribuem a eles um valor numérico associado à qualidade. Para avaliar a qualidade, os participantes seguem um conjunto de passos experimentais. Geralmente, esses passos são padronizados para favorecer a reprodutibilidade experimental. Os padrões de experimentos incluem metodologias de avaliação, tais como condições de visualização, escala de avaliação, materiais, etc. Após um conjunto de participantes avaliarem individualmente a qualidade de um dado estímulo, a média dos valores é calculada para gerar o valor médio das opiniões subjetivas (MOS). O MOS é frequentemente utilizado para representar a qualidade geral de um dado estímulo visual. Como a coleta dos MOS é realizada a partir de experimentos com seres humanos, esse processo é demorado, cansativo, caro, e laborioso. Devido ao custo dos experimentos subjetivos, um grande esforço tem sido dedicado ao desenvolvimento de técnicas objetivas para a avaliação de estímulos visuais. Essas técnicas objetivas consistem em predizer o MOS automaticamente por meio de algoritmos computacionais. Tal automação torna possível a implementação de procedimentos computacionais rápidos e baratos para monitorar e controlar a qualidade de estímulos visuais. As técnicas objetivas para a avaliação de estímulos visuais podem ser classificadas em três tipos, dependendo da quantidade de informação necessária pelo método. Se todo o estímulo de referência (original) é requerido para a estimação da qualidade do estímulo testado, então essa técnica é classificada como sendo de referência completa. Quando somente alguma informação parcial da referência é necessária, a técnica é classificada como sendo de referência reduzida. Por outro lado, quando nenhuma informação sobre o estímulo de referência é necessária, a técnica é dita como sendo sem referência. Uma vez que a exigência de uma referência completa ou parcial é um obstáculo no desenvolvimento de diversas aplicações multimídia, as técnicas de sem referência são as mais convenientes na maioria dos casos. Diversas técnicas objetivas para avaliação de qualidade visual têm sido propostas, embora ainda existam algumas questões em aberto no seu desenvolvimento. No caso de técnicas de avaliação de imagens, diversas técnicas de referência completa têm sido produzidas com uma excelente performance. Por outro lado, técnicas que não utilizam referências ainda apresentam limitações quando múltiplas distorções estão presentes. Além disso, as técnicas sem referência para imagens mais eficientes ainda apresentam modelos computacionalmente custosos, o que limita a utilização desses métodos em várias aplicações multimídia. No caso de vídeos, o atual estado da arte ainda possui performance na predição dos MOS pior do que os métodos de imagens. Quando consideramos a acurácia da predição, os métodos objetivos para vídeos possuem uma correlação entre valores preditos e MOS ainda pequena se comparada com a correlação observada em métodos para imagens. Além disso, a complexidade computacional é ainda mais crítica no caso de vídeos, uma vez que a quantidade de informação processada é muito maior do que aquela presente em imagens. O desenvolvimento de uma técnica objetiva de avaliação de qualidade visual requer resolver três grandes problemas. O primeiro problema é determinar um conjunto de características que sejam relevantes na descrição da qualidade visual. Essas características, geralmente, referem-se às medidas de estímulos físicos, tais como quantificação da nitidez de borda, estatísticas de cenas naturais, estatísticas no domínio de curvlets, filtros de Prewitt, etc. Além disso, múltiplos tipos de características podem ser combinados para gerar um vetor de características que descrevem melhor a qualidade de um dado estímulo. O segundo problema é estabelecer uma estratégia de agrupamento das características de forma que os valores numéricos sejam descritivos dentro de um modelo. Esse agrupamento se refere a uma combinação de medidas através de um subespaço de medidas para representar o estímulo analisado. Finalmente, o terceiro problema é a criação de um modelo que mapeie as características agrupadas de forma que se correlacione com os dados preditos com os subjetivos. Neste trabalho, nós apresentamos uma investigação de métodos de avaliação de qualidade visual baseada na medição de texturas. A pressuposição é que degradações visuais alteram as texturas e as estatísticas dessas texturas em imagens e vídeos. Essas medidas são executadas em termos das estatísticas extraídas do operador de padrões binários locais (LBP) e suas extensões. Este operador foi escolhido porque ele unifica outros modelos de análise de texturas mais tradicionais, tais como o espectro de textura, o nível de cinza de comprimento (GLRLM) e as matrizes de co-ocorrência de níveis de cinza (GLCM). O operador LBP, sendo um algoritmo simples e que favorece implementações rápidas, possui propriedades muito úteis para sistemas de processamento em tempo real de imagens e vídeos. Devido às vantagens supracitadas, nós analisamos o operador LBP e algumas das suas extensões no estado da arte com o objetivo de investigar sua adequabilidade para o problema de avaliação de qualidade de imagens. Para isso, neste trabalho nós apresentamos uma extensa revisão do estado da arte dos operadores. Entre os operadores no estado da arte, podemos mencionar os padrões ternários locais (LTP), a quantização de fase local (LPQ), as estatísticas binarizadas de características de imagem (BSIF), os padrões locais binários rotacionados (RLBP), os padrões binários locais completos (CLBP), os padrões de configuração locais (LCP), entre outros. Ademais, nós também propomos novas extensões que melhoram a predição de qualidade. Entre as extensões propostas para a medida de características de qualidade, estão os padrões binários locais de múltipla escala (MLBP), os padrões ternários locais de múltipla escala (MLTP), os padrões de variância local (LVP), os padrões de planos ortogonais de cores (OCPP), os padrões binários locais salientes (SLBP) e os padrões binários locais salientes de múltipla escala (MSLBP). Para testar a adequabilidade dos operadores de texturas supracitados, propomos um arcabouço para utilizar esses operadores na produção de novas métricas de qualidade de imagens. Dessa forma, muitas métricas sem referência podem ser geradas a partir da estratégia proposta. Utilizando as métricas geradas a partir do arcabouço proposto, uma extensa análise comparativa é apresentada neste trabalho. Essa análise foi feita com três das mais populares bases de dados de qualidade imagens disponíveis, sendo elas a LIVE, CSIQ e TID 2013. Os resultados gerados a partir dos testes nessas bases demonstram que os operadores no estado da arte mais adequados para mensurar a qualidade de imagens são o BSIF, o LPQ e o CLBP. Todavia, os resultados também indicaram que os operadores propostos atingiram resultados ainda mais promissores, com as abordagens baseadas em múltiplas escalas apresentando os melhores desempenhos entre todas variações testadas. Inspirado nos resultados experimentais das métricas de imagens geradas, nós escolhemos um operador de textura conveniente para implementar uma métrica de avaliação de qualidade de vídeos. Além de incorporar informações de textura, nós também incorporamos informações de atividade espacial e informação temporal. Os resultados experimentais obtidos indicam que a métrica proposta tem uma performance consideravelmente superior quando testada em diversas bases de dados de vídeo de referência e supera os atuais modelos de qualidade vídeo.
In the last decade, many visual quality models have been proposed. However, there are some open questions involving the assessment of image and video quality. In the case of images, most of the proposed methods are very complex and require a reference content to estimate the quality, limiting their use in several multimedia application. For videos, the current state-of-the-art methods still perform worse than images in terms of prediction accuracy. In this work, we present an investigation of visual quality assessment methods based on texture measurements. The premise is that visual impairments alter image and video textures and their statistics. These measurements are performed regarding the statistics of the local binary pattern (LBP) operator and its extensions. We chosen LBP because it unifies traditional texture analysis models. In addition, LBP is a simple but effective algorithm that performs only fundamental operations, which favors fast and simple implementations, which is very useful for real-time image and video processing systems. Because of the abovementioned advantages, we analyzed the LBP operator and some of its state-of-the-art extensions addressing the problem of assessing image quality. Furthermore, we also propose new quality-aware LBP extensions to improve the prediction of quality. Then, we propose a framework for using these operators in order to produce new image quality metrics. Therefore, many no-reference image quality metrics can be generated from the proposed strategy. Inspired by experimental results of generated no-reference image quality metrics, we chosen a convenient texture operator to implement a full-reference video quality metric. In addition to the texture information, we also incorporate features including spatial activity, and temporal information. Experimental results indicated that our metric presents a superior performance when tested on several benchmark video quality databases, outperforming current state-of-the-art full-reference video quality metrics.
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Johnson, Christian Marie. "Quality and Performance Measures in Pediatric Dentistry." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1371821581.

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Mahmoud, Moataz. "Bus quality assessment using perception and attitude measures." Thesis, Ulster University, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.573080.

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It is widely recognised that the perspective of the UK transport political agenda has shifted from the provision of services towards improving the quality management process, in order to alleviate the problems resulting from the accelerated car dependency. This political shift has imposed several demands on public transport, and specifically on bus services, to achieve sustainable and integrated transport solutions. It is evident that in order to attract more people to public transport, the service quality should be able to accommodate the quality level demanded by current customers, and importantly, the quality level desired by potential customers. However, the traditional quality management process has concentrated on the individual analysis of two quality measures: performance and perception, while it has failed to consider the multidimensional interrelationships between both measures and the side-effects of performance quality on user perception. This conflict represents an area of lacking research which forms the basis of this study to evaluate and optimise the performance quality of bus services with perception and attitude measures of both current and potential users. The study implemented a mixed method approach and collected data on user preference, satisfaction, and performance quality. Multiple techniques were operationalised including qualitative analysis of user perception, multi-perspective analysis of stakeholders towards the application relevance of bus quality indicators, analytical hierarchy process (AHP) modelling of user preferences, weighted perception index of current and potential users, and binary logistic regression analysis (BLRA) of the influences of performance quality on the perception of different categories of users. The combination of these techniques is operationalised to construct a novel methodological approach for evaluating bus quality that considers performance (objective) and perception (subjective) quality parameters and considers the perceptions of current and potential users. The study highlighted various contributions to knowledge: firstly, the study developed a concise set of bus quality indicators that considers the perspectives of all stakeholders and could be readily implemented across the sector. Secondly, the study found that although the preferences of users towards bus service vary significantly within context and level of involvement, ten indicators explain a significant share of the preferences of different categories of users towards bus services. Thirdly, the study identified that using only preference or satisfaction for evaluating user perception may lead to limited results, and the integration of both generates new patterns of weighted perception measure which distinctly explains the internal composition of user perception. Fourthly, the study found that eleven performance indicators have significant impact on the perception of current and potential users. Lastly, the study concluded by illustrating two alternatives for optimising the performance quality of bus services with the perceptions of current and potential users by balancing the required quality improvements with the current desire for economical recession.
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Books on the topic "Quality measures"

1

Salem, Deeb N., ed. Quality Measures. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37145-6.

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United States. Internal Revenue Service. Information Systems Development. ISD quality measures handbook. [Washington, D.C.?]: Dept. of the Treasury, Internal Revenue Service, 1991.

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Shephard, Rena R. Quality measures documentation tool kit. [Miamisburg, OH]: MED-PASS, 2004.

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Quackenbush, Schuyler R. Objective measures of speech quality. Englewood Cliffs, N.J: Prentice Hall, 1988.

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Guillet, Fabrice J., and Howard J. Hamilton, eds. Quality Measures in Data Mining. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-44918-8.

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Minkel, C. W. Measures of quality in graduate education. Knoxville, Tenn: Tennessee Conference of Graduate Schools, 1987.

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Isaacs, Julia, and Tammy Ouellette. Measures of material hardship. Washington, DC: U.S. Dept. of Health and Human Services, Office of the Secretary, Office of the Assistant Secretary for Planning and Evaluation, 2004.

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Margaret, Myers, ed. Systems, models, and measures. London: Springer-Verlag, 1994.

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Veenhoven, R. Subjective measures of well-being. Helsinki: United Nations University, World Institute for Development Economics Research, 2004.

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Principles of quality costs: Financial measures for strategic implementation of quality management. Milwaukee, Wisconsin: ASQ Quality Press, 2013.

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Book chapters on the topic "Quality measures"

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Daaboul, Yazan, Saahil Jumkhawala, and Deeb N. Salem. "Quality of Quality Measures." In Quality Measures, 215–39. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37145-6_14.

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Salem, Deeb N., Sucharita Kher, Danisha Charles, and Karen M. Freund. "The History of Quality Metrics." In Quality Measures, 1–3. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37145-6_1.

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Li, David, Gordon Wong, and Marcia Boumil. "Quality Measures in Undergraduate Medical Education." In Quality Measures, 151–64. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37145-6_10.

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Romashko, Mikhail, and Kari E. Roberts. "Resident Quality Training: More than Metrics." In Quality Measures, 165–79. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37145-6_11.

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Goldstein, Stanley, and Jeffrey Weinstein. "The Role of the Hospital Board of Trustees in Ensuring Quality Care." In Quality Measures, 181–99. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37145-6_12.

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Tishler, Julie, Kristin T. Huang, and Deborah Blazey-Martin. "Quality Improvement and Population Management in Adult Primary Care." In Quality Measures, 201–14. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37145-6_13.

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Binney, Geoffrey. "Pediatric Quality Measures." In Quality Measures, 5–22. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37145-6_2.

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Mackey, William C. "Quality and Safety Improvement in Surgery." In Quality Measures, 23–45. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37145-6_3.

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Meninger, Susanne, Hasan Fadlallah, Karen Dowler, and Shira Doron. "Infection Prevention Quality Metrics." In Quality Measures, 47–61. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37145-6_4.

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Chinedozi, Ifeany David, and Benjamin Wessler. "Evolution of Modern Cardiovascular Quality Metrics." In Quality Measures, 63–83. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37145-6_5.

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Conference papers on the topic "Quality measures"

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Galileiskii, Viktor P., Alexey I. Elizarov, Dmitrii V. Kokarev, Gennadii G. Matvienko, and Aleksandr M. Morozov. "Image quality measures." In XXV International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, edited by Gennadii G. Matvienko and Oleg A. Romanovskii. SPIE, 2019. http://dx.doi.org/10.1117/12.2539911.

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Leachtenauer, Jon C. "Objective quality measures assessment." In AeroSense 2002, edited by Zia-ur Rahman, Robert A. Schowengerdt, and Stephen E. Reichenbach. SPIE, 2002. http://dx.doi.org/10.1117/12.477582.

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Kashef, Rasha. "Scattering-based Quality Measures." In 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS). IEEE, 2021. http://dx.doi.org/10.1109/iemtronics52119.2021.9422563.

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Albuquerque, Georgia, Martin Eisemann, and Marcus Magnor. "Perception-based visual quality measures." In 2011 IEEE Conference on Visual Analytics Science and Technology (VAST). IEEE, 2011. http://dx.doi.org/10.1109/vast.2011.6102437.

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Wu, Hao, Jonathan Corney, and Michael Grant. "Crowdsourcing Measures of Design Quality." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34967.

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Today there are numerous examples of collaborative online communities effectively creating innovative products (e.g., RepRap, Linux). But the potential of anonymous crowds to also engage in generative design, through the aggregation of many small contributions, is less clear. Although in recent years the “power of the crowd” has been repeatedly demonstrated in areas that range from image labelling to linguistic translation. The application of crowdsourcing in the fields of design research and creative innovation has been much slower to emerge. As a result, although there have been reports of systems and researchers using Internet crowdsourcing to carry out generative design, there are still many gaps in knowledge about the capability and limitations of the technology. For example on commercial crowdsourcing platforms, the relationship between remuneration and the final quality of designs has not been established, so it is unclear how much payment should be offered in order to ensure a particular standard of result. Key to investigating the relationship between the crowd’s remuneration and the value of their innovation is a robust method for quantifying the quality of the designs produced. This paper reports how payment for a design task (a 2D layout problem) was systematically varied and the quality of the output assessed through a separate crowdsourcing process. The work provides some interesting and valuable insight into how Crowdsourcing can be most effectively employed in design tasks.
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Perks, A. J. "Quality assurance in the design of protective relays." In IEE Colloquium on Measures to Prevent Power Blackouts. IEE, 1998. http://dx.doi.org/10.1049/ic:19980481.

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Ariaratnam, Samuel T. "Quality Assurance/Quality Control Measures in Horizontal Directional Drilling." In International Conference on Pipelines and Trenchless Technology (ICPTT) 2009. Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41073(361)109.

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Csaba, B., L. Schrettner, A. Beszedes, J. Jasz, P. Hegedus, and T. Gyimothy. "Relating Clusterization Measures and Software Quality." In 2013 17th European Conference on Software Maintenance and Reengineering (CSMR 2013). IEEE, 2013. http://dx.doi.org/10.1109/csmr.2013.46.

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Thung, Kim-Han, and Paramesran Raveendran. "A survey of image quality measures." In 2009 International Conference for Technical Postgraduates (TECHPOS). IEEE, 2009. http://dx.doi.org/10.1109/techpos.2009.5412098.

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E. Harris, P. "Robust Wavelet Estimation and Quality Measures." In 68th EAGE Conference and Exhibition incorporating SPE EUROPEC 2006. European Association of Geoscientists & Engineers, 2006. http://dx.doi.org/10.3997/2214-4609.201402257.

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Reports on the topic "Quality measures"

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Doyle, Joseph, John Graves, and Jonathan Gruber. Evaluating Measures of Hospital Quality. Cambridge, MA: National Bureau of Economic Research, February 2017. http://dx.doi.org/10.3386/w23166.

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Yu, Chenghao. The Quality Assurance Measures for Laser Tracker. Office of Scientific and Technical Information (OSTI), August 2018. http://dx.doi.org/10.2172/1480954.

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Lee, Yooyoung, P. Jonathon Phillips, James J. Filliben, J. Ross Beveridge, and Hao Zhang. Identifying face quality and factor measures for video. National Institute of Standards and Technology, May 2014. http://dx.doi.org/10.6028/nist.ir.8004.

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Burns, Marguerite, and John Mullahy. Healthy-Time Measures of Health Outcomes and Healthcare Quality. Cambridge, MA: National Bureau of Economic Research, August 2016. http://dx.doi.org/10.3386/w22562.

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Schultz, F. (Assay and quality assurance measures employed for radioactive waste management). Office of Scientific and Technical Information (OSTI), December 1989. http://dx.doi.org/10.2172/5329958.

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Abdelkhalek, Touhami, Aziz Ajbilou, and Mohamed Benkassmi. Measures of job quality in Morocco: Creating a composite index [Arabic]. Population Council, 2009. http://dx.doi.org/10.31899/pgy15.1054.

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Plouffe, A., M. B. McClenaghan, R. C. Paulen, I. McMartin, J E Campbell, and W. A. Spirito. Quality assurance and quality control measures applied to indicator mineral studies at the Geological Survey of Canada. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2017. http://dx.doi.org/10.4095/300287.

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Plouffe, A., M. B. McClenaghan, R. C. Paulen, I. McMartin, J E Campbell, and W. A. Spirito. Quality assurance and quality control measures applied to indicator mineral studies at the Geological Survey of Canada. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2013. http://dx.doi.org/10.4095/292683.

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Gust, Jeff C., and Georgia L. Harris. Weights and measures division quality manual for proficiency testing and interlaboratory comparison. Gaithersburg, MD: National Institute of Standards and Technology, 2005. http://dx.doi.org/10.6028/nist.ir.7214.

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Nevo, Aviv. New Products, Quality Changes and Welfare Measures Computed From Estimated Demand Systems. Cambridge, MA: National Bureau of Economic Research, August 2001. http://dx.doi.org/10.3386/w8425.

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