Готові списки джерел за темами / CQI

Добірка наукової літератури з теми "CQI"

Автор: Grafiati
Опубліковано: 4 червня 2021
Оновлено: 25 травня 2024

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Зміст

  1. Статті в журналах
  2. Дисертації
  3. Книги
  4. Частини книг
  5. Тези доповідей конференцій
  6. Звіти організацій

Статті в журналах з теми "CQI":

1

BRISCOE, GINA, and GLORIA ARTHUR. "CQI Teamwork." Nursing Management (Springhouse) 29, no. 10 (October 1998): 73???84. http://dx.doi.org/10.1097/00006247-199810000-00023.

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2

GOLDMANN, DONALD A. "COUNTERPOINT:Sustaining CQI." International Journal for Quality in Health Care 9, no. 1 (1997): 7–9. http://dx.doi.org/10.1093/intqhc/9.1.7.

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3

Catanzaro, Thomas E. "Personal CQI Checklists." Journal of Veterinary Emergency and Critical Care 4, no. 1 (January 1994): 41–43. http://dx.doi.org/10.1111/j.1476-4431.1994.tb00115.x.

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4

Lee, Aehwa. "A Study regarding Improvement of the CQI Program in Medical School based on the CIPP Evaluation Model." Korean Journal of Teacher Education 38, no. 6 (November 30, 2022): 131–55. http://dx.doi.org/10.14333/kjte.2022.38.6.07.

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Purpose: The purpose of this study was to verify the effectiveness of a medical school Continuous Quality Improvement (CQI) program and to explore ways for improvement. Methods: To achieve the purpose of this study, a survey was conducted with seventy-two professors who participated in the 2020 CQI program for developing a CIPP evaluation model-based survey tool. Data analysis was conducted by t-test, One-Way ANOVA, and the Importance-Performance Analysis (IPA) using SPSS. Results: First, in the context evaluation stage, the purpose of the CQI program was fully recognized but the conditions for participation in the program and the support system needed to be improved. Second, in the input evaluation stage, the support facilities for the operation of the CQI program were satisfactory, but the level of participation and data provision of the program were found to need improvement. Third, in the process evaluation stage, it was found that maintaining and managing the status quo was sufficient for the CQI program operation plan and schedule. Fourth, in the product evaluation stage, it was found that the CQI program was helpful in strengthening student education and medical education competency. However, it was found that improvement was needed to help research activities. Conclusion: Following combining these results, a way to improve the CQI program was suggested in terms of goal setting, operation plan and execution, performance evaluation, and feedback.
5

Choi, Jung-Hui. "Application of CQI for the realization of competency-based education and it’s effects: Focusing on the case of D University." Korean Association For Learner-Centered Curriculum And Instruction 22, no. 11 (June 15, 2022): 667–83. http://dx.doi.org/10.22251/jlcci.2022.22.11.667.

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Objectives The purpose of this study is to analyze the effect of the Continuous Quality Improvement report on competency education in universities. Methods This study was conducted by analyzing the contents of the CQI report prepared for each of the seven common liberal arts subjects opened at University D, and comparing the results of the student's competency diagnosis conducted before and after the application of the CQI report. Results As a result of the study, it was found that the level of awareness among professors about the CQI report has been steadily improving, and as a result, the narrative content of the report has been greatly improved. Also, it was found that the students' competency scores increased significantly after CQI application compared to before, and the number of competencies that showed an increase in scores also increased. Conclusions It turns out that the CQI report is an effective tool in promoting competency-based education in universities. The CQI report can be a tool to help improve the curriculum in major subjects as well as common liberal arts subjects, the subject of this study.
6

Abd El-atty, Saied M., Dimitrios N. Skoutas, and Angelos N. Rouskas. "Reducing CQI Signalling Overhead in HSPA." Research Letters in Communications 2008 (2008): 1–5. http://dx.doi.org/10.1155/2008/982805.

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The efficiency of adaptive modulation and coding (AMC) procedure in high speed Downlink packet access (HSDPA) depends on the frequency of the channel quality information (CQI) reports transmitted by the UE to Node B. The more frequent the reports are the more accurate the link adaptation procedure is. On the other hand, the frequent CQI reports increase uplink interference, reducing thus the signal reception quality at the uplink. In this study, we propose an improved CQI reporting scheme which aims to reduce the required CQI signaling by exploiting a CQI prediction method based on a finite-state Markov chain (FSMC) model of the wireless channel. The simulation results show that under a high downlink traffic load, the proposed scheme has a near-to-optimum performance while produces less interference compared to the respective periodic CQI scheme.
7

Dean, Andrew G. "EPI INFO AND CQI." Quality Management in Health Care 2, no. 4 (1994): vii. http://dx.doi.org/10.1097/00019514-199402040-00002.

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8

Dean, Andrew G. "EPI INFO AND CQI." Quality Management in Health Care 2, no. 4 (1994): vii. http://dx.doi.org/10.1097/00019514-199422000-00002.

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9

Patow, Carl A., and Michael Benninger. "CQI: Beyond the Basics." Otolaryngology–Head and Neck Surgery 112, no. 5 (May 1995): P125. http://dx.doi.org/10.1016/s0194-5998(05)80319-5.

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Educational objectives: To understand and use advanced techniques in teamwork, leadership, and analytical methods to improve quality and to recognize and apply advanced data display techniques such as Gant charts and flow charts in analyzing clinical processes.
10

Williams, Beverly J. "Illustrations That Illuminate CQI." Journal For Healthcare Quality 18, no. 3 (May 1996): 29–33. http://dx.doi.org/10.1111/j.1945-1474.1996.tb00841.x.

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Статті в журналах Дисертації Книги

Дисертації з теми "CQI":

1

Herrell, Justin Lee. "The implementation impact of continuous quality improvement (CQI) on teacher perceptions of CQI categories." Diss., Columbia, Mo. : University of Missouri-Columbia, 2008. http://hdl.handle.net/10355/5611.

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Thesis (Ed. D.)--University of Missouri-Columbia, 2008.
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on June 8, 2009) Vita. Includes bibliographical references.
2

Ahmad, Ayaz. "On Resource Optimization and Robust CQI Reporting for Wireless Communication Systems." Phd thesis, Supélec, 2011. http://tel.archives-ouvertes.fr/tel-00771973.

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Adaptive resource allocation in wireless communication systems is crucial in order to support the diverse QoS needs of the services and optimize resource utilization. The design of resource allocation schemes should consider the service type for which it is intended. Moreover, due to feedback delay and channel estimation error, the Channel Quality Indicator (CQI) reported to the transmitter may not be a perfect measure of the channel quality and its use for resource allocation may severely degrade the systems performance. In this thesis, we study resource allocation and CQI reporting for wireless networks while taking the aforementioned factors into consideration. First, we consider resource allocation and adaptive modulation in uplink SC-FDMA systems. This is a combinatorial problem whose optimal solution is exponentially complex. We use canonical duality theory to derive a polynomial complexity resource allocation algorithm that provides a nearly optimal solution to the problem. Then, we focus on resource allocation for video streaming in wireless networks with time-varying interference. To this end, by using risk-sensitive control approach, we develop a cross-layer optimization framework that performs power control at the PHY/MAC layer and rate adaptation at the APPLICATION layer jointly and provides fairness among nodes. Finally, by using stochastic control and game theory, we design a robust best-M CQI reporting scheme for multi-carrier and multi-user systems which takes into account the impact of feedback delay and error in CQI computation. Performing resource allocation on the basis of the proposed CQI reporting can significantly improve the system performance.
3

Awal, Mohammad abdul. "Efficient cqi feedback resource utilisation for multi-user multi-carrier wireless systems." Thesis, Paris 11, 2011. http://www.theses.fr/2011PA112223/document.

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La technologie OFDMA (Orthogonal frequency division multiple access) a été adoptée par les systèmes de télécommunications de 4ème génération (4G) comme technique de transmission et d'accès multiple pour ses performances supérieures en termes d'efficacité spectrale. Dans ce type de systèmes, l'adaptation dynamique du débit en fonction de la qualité du canal CQI (Channel Quality Indicator) constitue une problématique de recherche d'actualité qui attire l'attention de plusieurs acteurs académiques et industriels. Ce problème d'adaptation dynamique est encore plus complexe à gérer dans des environnements multi-utilisateurs hétérogènes et à ressources limitées tels que les systèmes OFDMA comme WiMAX Mobile et Long-term Evolution (LTE). Dans cette thèse, nous nous intéressons au problème d'allocation de ressources de l'information de feedback relative au CQI dans le cadre de systèmes OFDMA multi-porteuses multi-utilisateurs. Dans le but de réduire la charge (overhead) du feedback, nous proposons une méthode de prédiction du CQI basée sur l'exploitation de la corrélation temporelle de ce dernier et d'une solution inter-couches. L'objectif est de trouver des schémas d'allocation de ressources adaptatifs respectant les contraintes de qualité de service (QoS) applicatives.Nous proposons en premier lieu un algorithme de réduction de feedback PBF (Prediction Based Feedack) qui permet à la station de base (BS) à prédire certaines occurrences du CQI en se basant sur l'algorithme des moindres carrés récursif RLS (Recursive least-square). Les résultats de simulation montrent que l'outil de prédiction du CQI réduit sensiblement l'overhead du feedback et améliore par conséquent le débit de la liaison montante. Nous proposons, par la suite, une version opportuniste de PBF pour atténuer les éventuels effets de sur et sous estimations liées à l'algorithme de prédiction. Dans ce mécanisme, nous exploitons les informations inter-couches pour améliorer les performances des mécanismes de feedbacks périodiques dont PBF fait partie. L'approche opportuniste améliore sensiblement les performances du système pour les cas de mobilité élevée comparés aux cas de faible mobilité.Dans un second temps, nous proposons une plateforme (FEREP : feedback resource allocation and prediction) basée sur une approche inter-couches. Implémentée au niveau de la station BS, FEREP intègre les fonctionnalités de prédiction, d'adaptation dynamique du CQI et d'ordonnancement des demandes de feedback. Elle comporte trois modules. Le module FWA (feedback window adaptation) gère dynamiquement la fenêtre de feedbacks de chaque station mobile (MS) en se basant sur les messages ARQ (Automatic Repeat Request) reçus qui reflètent l'état actuel des canaux respectifs. Le module PBFS (priority-based feedback scheduling) effectue ensuite l'ordonnancement des feedbacks en tenant compte de la taille de la fenêtre de feedback, du profil de l'utilisateur sous la contrainte de la limitation des ressources globales du systèmes réservées au feedback. Afin de choisir les paramètres de transmission MCS (modulation and coding schemes), le module PBF (prediction based feedback) est utilisé pour les utilisateurs dont le feedabck n'a pas pu être ordonnancé dans la trame courante. Les résultats de simulation ont montré un gain significatif des performances de FREREP en comparaison à un mécanisme de référence, en particulier, sous de fortes contraintes de limitation des ressources du feedback.Le protocole ARQ génère un accusé de réception uniquement si l'utilisateur est sélectionné par l'ordonnanceur pour envoyer des données sur la liaison descendante. Dans le cas où la fréquence d'ordonnancement des utilisateurs sur le lien descendant est réduite, les messages ARQ s'en trouvent également réduits, dégradant par conséquent les performances de la plateforme FEREP proposée ci-dessus. En effet, dans ce cas la signalisation ARQ devient insuffisante pour adapter efficacement la fenêtre de feedback de chaque utilisateur. Pour pallier à ce problème, nous proposons l'algorithme DCRA (dynamic CQI resource allocation) qui utilise deux modes d'estimation de la fenêtre de feedback. Le premier est un mode hors-ligne basé sur des études empiriques permettant d'estimer la fenêtre moyenne optimale de feedback en utilisant les profils applicatif et de mobilité de l'utilisateur. Notre analyse de performance par simulation montre que la fenêtre de feedback peut être estimée en fonction de la classe de service des utilisateurs et de leurs profils de mobilité pour un environnement cellulaire donné. Le second mode de fonctionnement de DCRA effectue une adaptation dynamique de la fenêtre en temps réel dans le cas où la signalisation ARQ est suffisante. Une étude comparative avec les mécanismes DFS (deterministic feedback scheduling) et OFS (opportunistic feedback scheduling), a montré que DCRA arrive à réaliser un meilleur gain en ressources montantes grâce à la réduction de l'overhead des feedbacks, sans pour autant trop dégrader le débit descendant des utilisateurs. Du point de vue des utilisateurs, DCRA améliore les contraintes de QoS tels que le taux de perte de paquets et réduit la consommation énergétique des terminaux grâce à la réduction de feedback
Orthogonal frequency division multiple access (OFDMA) technology has been adopted by 4th generation (a.k.a. 4G) telecommunication systems to achieve high system spectral efficiency. A crucial research issue is how to design adaptive channel quality indicator (CQI) feedback mechanisms so that the base station can use adaptive modulation and coding (AMC) techniques to adjust its data rate based on the channel condition. This problem is even more challenging in resource-limited and heterogeneous multiuser environments such as Mobile WiMAX, Long-term Evolution (LTE) networks. In this thesis, we consider CQI feedback resource allocation issue for multiuser multicarrier OFDMA systems. We exploit time-domain correlation for CQI prediction and cross-layer information to reduce feedback overhead for OFDMA systems. Our aim is find resource allocation schemes respecting the users QoS constraints.Our study begins with proposing prediction based feedback (PBF) which allows the base station to predict the CQI feedbacks based on recursive least-square (RLS) algorithm. We showed that it is useful to use channel prediction as a tool to reduce the feedback overhead and improve the uplink throughput. Then, we propose an opportunistic periodic feedback mechanism to mitigate the possible under and over estimation effects of CQI prediction. In this mechanism, we exploited the cross-layer information to enhance the performance of periodic feedback mechanisms. The opportunistic mechanism improves the system performance for high mobility cases compared to low mobility cases.For OFDMA systems with limited feedback resource, we propose an integrated cross-layer framework of feedback resource allocation and prediction (FEREP). The proposed framework, implemented at the BS side, is composed of three modules. The feedback window adaptation (FWA) module dynamically tunes the feedback window size for each mobile station based on the received ARQ (Automatic Repeat Request) messages that reflect the current channel condition. The priority-based feedback scheduling (PBFS) module then performs feedback allocation by taking into account the feedback window size, the user profile and the total system feedback budget. To choose adapted modulation and coding schemes (MCS), the prediction based feedback (PBF) module performs channel prediction by using recursive least square (RLS) algorithm for the user whose channel feedback has not been granted for schedule in current frame. Through extensive simulations, the proposed framework shows significant performance gain especially under stringent feedback budget constraint.ARQ protocol receives users acknowledgement only if the user is scheduled in the downlink. The reduction in users scheduling frequency also reduces the rate of ARQ hints and degrades the performance of above contributions. In this case, it is difficult to exploit the ARQ signal to adapt the feedback window for that user. To address this issue, we propose a cross-layer dynamic CQI resource allocation (DCRA) algorithm for multiuser multicarrier OFDMA systems. DCRA uses two modes for feedback window estimation. The first one is an off-line mode based on empirical studies to derive optimal average feedback window based on user application and mobility profile. Our experimental analysis shows that the feedback window can be averaged according to users service class and their mobility profile for a given cell environment. DCRA performs a realtime dynamic window adaptation if sufficient cross-layer hints are available from ARQ signaling. DCRA increases uplink resource by reducing feedback overhead without degrading downlink throughout significantly compared to deterministic feedback scheduling (DFS) and opportunistic feedback scheduling (OFS). From the users perspective, DCRA improves QoS constraints like packet loss rate and saves users power due to feedback reduction
4

Awal, Mohammad Abdul, and Mohammad Abdul Awal. "Efficient cqi feedback resource utilisation for multi-user multi-carrier wireless systems." Phd thesis, Université Paris Sud - Paris XI, 2011. http://tel.archives-ouvertes.fr/tel-00636659.

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La technologie OFDMA (Orthogonal frequency division multiple access) a été adoptée par les systèmes de télécommunications de 4ème génération (4G) comme technique de transmission et d'accès multiple pour ses performances supérieures en termes d'efficacité spectrale. Dans ce type de systèmes, l'adaptation dynamique du débit en fonction de la qualité du canal CQI (Channel Quality Indicator) constitue une problématique de recherche d'actualité qui attire l'attention de plusieurs acteurs académiques et industriels. Ce problème d'adaptation dynamique est encore plus complexe à gérer dans des environnements multi-utilisateurs hétérogènes et à ressources limitées tels que les systèmes OFDMA comme WiMAX Mobile et Long-term Evolution (LTE). Dans cette thèse, nous nous intéressons au problème d'allocation de ressources de l'information de feedback relative au CQI dans le cadre de systèmes OFDMA multi-porteuses multi-utilisateurs. Dans le but de réduire la charge (overhead) du feedback, nous proposons une méthode de prédiction du CQI basée sur l'exploitation de la corrélation temporelle de ce dernier et d'une solution inter-couches. L'objectif est de trouver des schémas d'allocation de ressources adaptatifs respectant les contraintes de qualité de service (QoS) applicatives.Nous proposons en premier lieu un algorithme de réduction de feedback PBF (Prediction Based Feedack) qui permet à la station de base (BS) à prédire certaines occurrences du CQI en se basant sur l'algorithme des moindres carrés récursif RLS (Recursive least-square). Les résultats de simulation montrent que l'outil de prédiction du CQI réduit sensiblement l'overhead du feedback et améliore par conséquent le débit de la liaison montante. Nous proposons, par la suite, une version opportuniste de PBF pour atténuer les éventuels effets de sur et sous estimations liées à l'algorithme de prédiction. Dans ce mécanisme, nous exploitons les informations inter-couches pour améliorer les performances des mécanismes de feedbacks périodiques dont PBF fait partie. L'approche opportuniste améliore sensiblement les performances du système pour les cas de mobilité élevée comparés aux cas de faible mobilité.Dans un second temps, nous proposons une plateforme (FEREP : feedback resource allocation and prediction) basée sur une approche inter-couches. Implémentée au niveau de la station BS, FEREP intègre les fonctionnalités de prédiction, d'adaptation dynamique du CQI et d'ordonnancement des demandes de feedback. Elle comporte trois modules. Le module FWA (feedback window adaptation) gère dynamiquement la fenêtre de feedbacks de chaque station mobile (MS) en se basant sur les messages ARQ (Automatic Repeat Request) reçus qui reflètent l'état actuel des canaux respectifs. Le module PBFS (priority-based feedback scheduling) effectue ensuite l'ordonnancement des feedbacks en tenant compte de la taille de la fenêtre de feedback, du profil de l'utilisateur sous la contrainte de la limitation des ressources globales du systèmes réservées au feedback. Afin de choisir les paramètres de transmission MCS (modulation and coding schemes), le module PBF (prediction based feedback) est utilisé pour les utilisateurs dont le feedabck n'a pas pu être ordonnancé dans la trame courante. Les résultats de simulation ont montré un gain significatif des performances de FREREP en comparaison à un mécanisme de référence, en particulier, sous de fortes contraintes de limitation des ressources du feedback.Le protocole ARQ génère un accusé de réception uniquement si l'utilisateur est sélectionné par l'ordonnanceur pour envoyer des données sur la liaison descendante. Dans le cas où la fréquence d'ordonnancement des utilisateurs sur le lien descendant est réduite, les messages ARQ s'en trouvent également réduits, dégradant par conséquent les performances de la plateforme FEREP proposée ci-dessus. En effet, dans ce cas la signalisation ARQ devient insuffisante pour adapter efficacement la fenêtre de feedback de chaque utilisateur. Pour pallier à ce problème, nous proposons l'algorithme DCRA (dynamic CQI resource allocation) qui utilise deux modes d'estimation de la fenêtre de feedback. Le premier est un mode hors-ligne basé sur des études empiriques permettant d'estimer la fenêtre moyenne optimale de feedback en utilisant les profils applicatif et de mobilité de l'utilisateur. Notre analyse de performance par simulation montre que la fenêtre de feedback peut être estimée en fonction de la classe de service des utilisateurs et de leurs profils de mobilité pour un environnement cellulaire donné. Le second mode de fonctionnement de DCRA effectue une adaptation dynamique de la fenêtre en temps réel dans le cas où la signalisation ARQ est suffisante. Une étude comparative avec les mécanismes DFS (deterministic feedback scheduling) et OFS (opportunistic feedback scheduling), a montré que DCRA arrive à réaliser un meilleur gain en ressources montantes grâce à la réduction de l'overhead des feedbacks, sans pour autant trop dégrader le débit descendant des utilisateurs. Du point de vue des utilisateurs, DCRA améliore les contraintes de QoS tels que le taux de perte de paquets et réduit la consommation énergétique des terminaux grâce à la réduction de feedback.
5

Sideras, Demetri. "The development and adoption of an innovative, sustainable quality improvement model in a private healthcare firm." Thesis, University of Hertfordshire, 2015. http://hdl.handle.net/2299/15496.

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Currently, UK healthcare is encountering an unprecedented quality crisis, especially considering the overwhelming challenge of improving patient care in the face of growing demands and limited resources. Although past efforts to adopt Total Quality Management (TQM) initiatives have failed to produce desired results, this thesis investigates the limitations of TQM applicability and explores the development of an innovative Quality Improvement model germane to a healthcare context. By integrating TQM with concepts from Corporate Social Responsibility (CSR), Complexity Theory (CT) and Knowledge Management (KM) a novel TQM conceptual framework, called EALIM—Ethical, Adaptive, Learning and Improvement Model—was devised. Using an Action Research (AR) study, EALIM was implemented within a private healthcare firm by working collaboratively with organisational members over a period of eighteen months. The study included gathering qualitative data in three AR cycles: 1) pre-implementation, 2) implementation and 3) post-implementation. The first cycle involved gathering data to form a baseline assessment of the organisation, which was used to provide feedback to top management on areas for improvement. In the second cycle, an action plan was developed with top managers and EALIM’s implementation was examined. In the third cycle, further data were gathered and findings were evaluated against the baseline assessment from the first cycle to identify the overall impact of EALIM on the organisation. Findings indicated that EALIM’s adoption generated a moral perception of the organisation, a learning culture, increased organisational commitment and an improvement in patient self-advocacy and independence. Factors that contributed to these outcomes were top management commitment, employee empowerment, the use of trans-disciplinary groups and practice-based training. However, other findings indicated that poor leadership and staff nurses’ use of managerial control created variability in service quality. These findings suggest that while EALIM can lead to organisational improvement, the commitment of all internal stakeholders is required to achieve sustainable quality patient care.
6

Eriksson, Erik. "Channel Quality Information Reporting and Channel Quality Dependent Scheduling in LTE." Thesis, Linköping University, Department of Electrical Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-11033.

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Telecommunication systems are under constant development. Currently 3GPP is working on an evolution of the 3G-standard, under the name 3G Long Term Evolution (LTE). Some of the goals are higher throughput and higher peak bit rates. A crucial part to achieve the higher performance is channel dependent scheduling (CDS). CDS is to assign users when they have favorable channel conditions. Channel dependent scheduling demands accurate and timely channel quality reports. These channel quality indication (CQI) reports can possibly take up a large part of the allocated uplink. This thesis report focuses on the potential gains from channel dependent scheduling in contrast to the loss in uplink to reporting overhead.

System simulations show that the gain from channel dependent scheduling is substantial but highly cell layout dependent. The gain with frequency and time CDS, compered to CDS in time domain only, is also large, around 20\%. With a full uplink it can still be a considerable gain in downlink performance if a large overhead is used for channel quality reports. This gives a loss in uplink performance, and if the uplink gets to limited it will severely affect both uplink and downlink performance negatively.

How to schedule and transmit CQI-reports is also under consideration. A suggested technique is to transmit the CQI reports together with uplink data. With a web traffic model simulations show that a high uplink load is required to get the reports often enough. The overhead also gets unnecessary large, if the report-size only depends on the allocated capacity.

7

YAÑEZ, LENDIZABAL ALEJANDRA EMILSEN. "IMPLEMENTACIÓN DE LA NORMA CQI-8 LPA´s, EN EL PROCESO DE INYECCIÓN DE CERA PERDIDA." Tesis de Licenciatura, Universidad Autónoma del Estado de México, 2015. http://hdl.handle.net/20.500.11799/40410.

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La aplicación de la norma CQI-8 LPA´s se llevará a cabo en una empresa automotriz que obtiene sus productos mediante el proceso de fundición a la cera perdida, específicamente en el proceso de inyección de cera. Los datos serán analizados considerando los antecedentes e información para el estudio correspondiente.
Las empresas manufactureras industriales, principalmente las automotrices, en su esfuerzo por mantenerse competitivos en el mercado, trabajan para estar en conformidad con los estándares de las certificaciones de los sistemas de gestión: ISO (International Organization for Standardization) 9001:2008, ISO/TS 16949, Norma CQI-8 Layered Process Audit (Auditorías de Procesos por Capas (o niveles)).
8

Winn, Richard A. "QA or CQI : the role of the Malcolm Baldrige National Quality Award program in higher education /." La Verne, Calif. : University of La Verne, 2002. http://0-wwwlib.umi.com.garfield.ulv.edu/dissertations/fullcit/3060180.

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9

Isouard, Godfrey, of Western Sydney Macarthur University, and Faculty of Health. "A total quality management approach to appropriate clinical laboratory test utilisation in acute myocardial infarction." THESIS_FH_XXX_Isourd_G.xml, 1996. http://handle.uws.edu.au:8081/1959.7/20.

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The first goal of this investigation was to undertake a non-equivalent quasi-experimental design to test the effect of a total Quality management (TQM) approach to improve the appropriateness of clinical laboratory test utilisation in the management of early acute myocardial infarction (AMI). The study was conducted at 2 public hospitals in Sydney over a 30 month period, and in 2 stages- pre and post TQM intervention. Using specifically a Continuous Quality Improvement (CQI) FOCUS-PDCA model, a multidisciplinary team was empowered to make appropriate changes in order to improve a variety of problem areas that affected the total pathology service. Improvement was directed at the total system of pathology testing, not just test ordering. It was observed that the introduction of a TQM environment had provided a more committed, integrated and motivated clinical care effort towards improving the appropriateness of test ordering. Such team efforts were accompanied by demonstrated customer satisfaction at various aspects of the laboratory service and further benefits to patient care. Patient care benefited greatly from the highly significant changes towards more appropriate timing of blood collections for cardiac enzyme testing. Other improvements included overall improvements to the turnaround time of test results, reductions in specimen delivery delays, more appropriate use of clinical laboratory tests, a streamlined distribution of printed reports and marked improvements in communication between staff involved in the process of test ordering. Of major importance was the finding that CQI strategies resulted in substantial savings of 23.0% of the overall cost of pathology services. Adoption of the TQM approach appears to be a strategy worthy of exploration by laboratory directors and health administrators interested in improving patient care while at the same time reducing expenditure.
Doctor of Philosophy (PhD)
10

Isouard, Godfrey, University of Western Sydney, and Faculty of Health. "A total quality management approach to appropriate clinical laboratory test utilisation in acute myocardial infarction." THESIS_FH_XXX_Isouard_G.xml, 1996. http://handle.uws.edu.au:8081/1959.7/670.

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The first goal of this investigation was to undertake a non-equivalent quasi-experimental design to test the effect of a total Quality management (TQM) approach to improve the appropriateness of clinical laboratory test utilisation in the management of early acute myocardial infarction (AMI). The study was conducted at 2 public hospitals in Sydney over a 30 month period, and in 2 stages- pre and post TQM intervention. Using specifically a Continuous Quality Improvement (CQI) FOCUS-PDCA model, a multidisciplinary team was empowered to make appropriate changes in order to improve a variety of problem areas that affected the total pathology service. Improvement was directed at the total system of pathology testing, not just test ordering. It was observed that the introduction of a TQM environment had provided a more committed, integrated and motivated clinical care effort towards improving the appropriateness of test ordering. Such team efforts were accompanied by demonstrated customer satisfaction at various aspects of the laboratory service and further benefits to patient care. Patient care benefited greatly from the highly significant changes towards more appropriate timing of blood collections for cardiac enzyme testing. Other improvements included overall improvements to the turnaround time of test results, reductions in specimen delivery delays, more appropriate use of clinical laboratory tests, a streamlined distribution of printed reports and marked improvements in communication between staff involved in the process of test ordering. Of major importance was the finding that CQI strategies resulted in substantial savings of 23.0% of the overall cost of pathology services. Adoption of the TQM approach appears to be a strategy worthy of exploration by laboratory directors and health administrators interested in improving patient care while at the same time reducing expenditure.
Doctor of Philosophy (PhD)
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Книги з теми "CQI":

1

Griffith, John R. Reengineering health care: Building on CQI. Ann Arbor, Mich: Health Administration Press, 1995.

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2

AAHE Continuous Quality Improvement Project., ed. CQI 101: A first reader for higher education. Washington, DC: American Association for Higher Education, 1994.

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3

Steven, Brigham, Carusone Deborah DeMarche, and American Association for Higher Education. Quality Initiatives., eds. Roadmap to resources: Sources and tools for CQI implementation. Washington, DC: AAHE's Quality Initiatives, 1996.

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4

Educators, American Association of Diabetes. CQI: A step-by-step guide for quality improvement in diabetes education. 2nd ed. Chicago, Ill: American Association of Diabetes Educators, 2008.

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5

A, Kazandjian Vahé, ed. The effectiveness of CQI in health care: Stories from a global perspective. Milwaukee, Wis: ASQ Quality Press, 1997.

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6

Mannello, Tim. A CQI system for healthcare: How the Williamsport Hospital brings quality to life. New York, N.Y: Quality Resources, 1995.

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7

Dukes, Annie. CQI/TQM: Continuous quality improvement/total quality management for the rest of us. Springfield, CO: Ad Hoc Graphics, 1994.

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8

Min, Qi. Qing Jiang liu yu jing ji fa zhan yan jiu /cQi Min zhu. 8th ed. Wuchang: Hua zhong ke ji da xue chu ban she, 2002.

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9

Jean, Ryan Mary. CQI and the renovation of an American health care system: A culture under construction. Milwaukee, Wis: ASQ Quality Press, 1998.

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10

American Association of Diabetes Educators., ed. CQI, continuous quality improvement: A step-by-step guide for quality improvement in diabetes education. 2nd ed. Chicago, Ill: American Association of Diabetes Educators, 2008.

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Частини книг з теми "CQI":

1

Philp, Matthew M. "Detection: (CQI) Quality Measures and Tools for Improvement." In Advanced Colonoscopy and Endoluminal Surgery, 131–40. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-48370-2_13.

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2

Frize, Monique. "Safety Considerations, Minimizing Liability, and Continuous Quality Improvement (CQI)." In Health Care Engineering Part I, 45–57. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-031-01657-8_4.

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3

Pheaktra, They, JongBeom Lim, JongHyuk Lee, and Joon-Min Gil. "A Keyword Extraction Scheme from CQI Based on Graph Centrality." In Lecture Notes in Electrical Engineering, 158–63. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9244-4_22.

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4

Earley, Mary E., and Susan W. McCampbell. "Contracting Health Care: Getting What You Pay For in a CQI Environment." In Public Health Behind Bars, 105–17. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1807-3_7.

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5

Fajardo, Jose Oscar, Ianire Taboada, and Fidel Liberal. "Analysis of CQI Traces from LTE MIMO Deployments and Impact on Classical Schedulers." In Lecture Notes in Computer Science, 60–73. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22572-2_5.

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6

Kühne, Alexander, and Anja Klein. "Adaptive Multiuser OFDMA Systems with High Priority Users in the Presence of Imperfect CQI." In Lecture Notes in Electrical Engineering, 239–48. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2530-2_23.

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7

Hussain, Fazal, Riad El Fakih, and Mahmoud Aljurf. "Data Management." In Quality Management and Accreditation in Hematopoietic Stem Cell Transplantation and Cellular Therapy, 137–46. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64492-5_15.

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AbstractEffective data management is critical for quality research in any hematopoietic stem cell transplantation (HSCT) center for accuracy, reliability, and validity of the data. HSCT research is a dynamic and multi-domain process encompassing innovative therapeutic modalities, techniques, and interventions to change the existing standard of care and optimize survival outcomes and patients’ quality of life. Research has evolved as one of the core competencies for the standardization, accreditation, and academic standing of the transplant center. The Data Unit is the center of gravity and the hub of research (databases, registries, translational research, and randomized control trials) in a quality cancer care facility. HSCT data collection, collation, and interpretation have become an integral part of the treatment rather than an option. Quality assurance (QA) and continuous quality improvement (CQI) in data management are pivotal for credibility, measurable/quantifiable outcomes, clinically significant impact, and setting benchmarks. Quality assurance, ethical conduct, and monitoring of HSCT data are the hallmarks of a center of excellence in galvanizing the therapeutic interventions and optimizing the outcomes.
8

Samouylov, Konstantin, Irina Gudkova, Ekaterina Markova, and Iliya Dzantiev. "On Analyzing the Blocking Probability of M2M Transmissions for a CQI-Based RRM Scheme Model in 3GPP LTE." In Communications in Computer and Information Science, 327–40. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44615-8_29.

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9

Karman, S., K. Hasikin, H. N. Ting, S. C. Ng, A. K. Abdul Wahab, E. Lim, N. A. Hamzaid, and W. A. B. Wan Abas. "OBE Implementation and Design of Continual Quality Improvement (CQI) for Accreditation of Biomedical Engineering Program University of Malaya." In IFMBE Proceedings, 20–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21729-6_11.

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10

Petrov, Dmitry, Ilmari Repo, and Marko Lampinen. "Performance of Multiflow Aggregation Scheme for HSDPA with Joint Intra-site Scheduling and in Presence of CQI Imperfections." In Internet of Things, Smart Spaces, and Next Generation Networking, 198–207. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32686-8_18.

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Тези доповідей конференцій з теми "CQI":

1

Armuth, Andrew, and Nicholas Grider. "Beyond CQI-9: A Customized Approach to CQI-9 and Supplier Management." In HT2021. ASM International, 2021. http://dx.doi.org/10.31399/asm.cp.ht2021exabp0001.

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Abstract The current Automotive Industry Action Group (AIAG) CQI-9 audit process has limited effectiveness to proactively detect heat treatment quality risks in Tier-1 and Tier-2 supply bases. A cross-functional engineering organization developed an improved supplier audit form using CQI-9, National Aerospace and Defense Contractors Accreditation Program (NADCAP), International Automotive Task Force (IATF), and specific internal company standards to distinguish and quantify production issues that may have been undiscovered with the existing CQI-9 approach. Representatives from engineering, commercial, and manufacturing crafted a more complete approach to supply chain quality. This new audit format (Beyond CQI-9) has demonstrated the ability to quantify heat treatment concerns, reduce future engineering resource costs, and develop new and existing heat treatment suppliers to meet world class quality levels.
2

Touheed, Hassaan, Atta Ul Quddus, and Rahim Tafazolli. "Predictive CQI reporting for HSDPA." In 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE, 2008. http://dx.doi.org/10.1109/pimrc.2008.4699546.

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3

Zhang, Rui, Zhisong Bie, Zhiqiang He, and Kai Niu. "Sparsity Based CQI Feedback Scheme." In 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2009. http://dx.doi.org/10.1109/wicom.2009.5303347.

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4

Xun Yuan, Yanan Liu, Xinxing Jing, and Bing Han. "New LTE downlink CQI correction algorithm." In 2013 15th IEEE International Conference on Communication Technology (ICCT). IEEE, 2013. http://dx.doi.org/10.1109/icct.2013.6820365.

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5

Kelch, Lutz, Tobias Pogel, Lars Wolf, and Andreas Sasse. "CQI Maps for Optimized Data Distribution." In 2013 IEEE 78th Vehicular Technology Conference (VTC Fall). IEEE, 2013. http://dx.doi.org/10.1109/vtcfall.2013.6692148.

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6

Zhu, Jianchi, Xiaoming She, Jingxiu Liu, and Lan Chen. "Adaptive CQI Feedback and Efficient CQI Update Scheme for Codebook Based MU-MIMO in E-UTRA." In 2008 IEEE 68th Vehicular Technology Conference (VTC 2008-Fall). IEEE, 2008. http://dx.doi.org/10.1109/vetecf.2008.87.

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7

Zhu, Jianchi, Xiaoming She, and Lan Chen. "Efficient CQI update scheme for codebook based MU-MIMO with single CQI feedback in E-UTRA." In 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE, 2008. http://dx.doi.org/10.1109/pimrc.2008.4699465.

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8

Khoshkholgh, Mohammad G., and Victor C. M. Leung. "Adaptive CDI-CQI Feedback Bit Partitioning for Quantized MISO-SDMA in Downlink HetNets." In 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall). IEEE, 2017. http://dx.doi.org/10.1109/vtcfall.2017.8287952.

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9

Buthler, Jakob L., and Troels Soerensen. "CQI Reporting Strategy for Multi-SIM UEs." In 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring). IEEE, 2016. http://dx.doi.org/10.1109/vtcspring.2016.7504180.

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10

Juan, G. Torres H., and Bustamante M. Roberto. "Effects of CQI feedback for LTE networks." In 2014 IEEE 9th Ibero-American Congress on Sensors (IBERSENSOR). IEEE, 2014. http://dx.doi.org/10.1109/ibersensor.2014.6995541.

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Звіти організацій з теми "CQI":

1

Borgwardt, Stefan, Bettina Fazzinga, Thomas Lukasiewicz, Akanksha Shrivastava, and Oana Tifrea-Marciuska. Preferential Query Answering in the Semantic Web with Possibilistic Networks. Technische Universität Dresden, 2016. http://dx.doi.org/10.25368/2023.219.

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In this paper, we explore how ontological knowledge expressed via existential rules can be combined with possibilistic networks (i) to represent qualitative preferences along with domain knowledge, and (ii) to realize preference-based answering of conjunctive queries (CQs). We call these combinations ontological possibilistic networks (OP-nets). We define skyline and k-rank answers to CQs under preferences and provide complexity (including data tractability) results for deciding consistency and CQ skyline membership for OP-nets. We show that our formalism has a lower complexity than a similar existing formalism.
2

Rzewski, P., M. Day, and D. Gilletti. Content Internetworking (CDI) Scenarios. RFC Editor, July 2003. http://dx.doi.org/10.17487/rfc3570.

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3

Mobery, Gloria D. Operational Protection of C4I. Fort Belvoir, VA: Defense Technical Information Center, March 1997. http://dx.doi.org/10.21236/ada325069.

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4

Ariga, Kenn, and Kenji Matsui. Mismeasurement of the CPI. Cambridge, MA: National Bureau of Economic Research, January 2003. http://dx.doi.org/10.3386/w9436.

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5

Harn, M., V. Berzins, W. Kemple, and Luqi. Evolution of C4I Systems. Fort Belvoir, VA: Defense Technical Information Center, June 1999. http://dx.doi.org/10.21236/ada467887.

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6

Daley, Philip C. C3I Rapid Prototype Investigation. Fort Belvoir, VA: Defense Technical Information Center, January 1986. http://dx.doi.org/10.21236/ada167423.

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7

von Balthasar, Hans Urs. Chi è un laico? Saint John Publications, 2022. http://dx.doi.org/10.56154/u8.

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8

Raman, Roger, and Thomas R. Jarboe. CHI Research. Final Technical Report. Office of Scientific and Technical Information (OSTI), September 2018. http://dx.doi.org/10.2172/1469681.

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9

McMillan, B. K. Chi-Squared Distribution Parameter Approximation. Fort Belvoir, VA: Defense Technical Information Center, July 1988. http://dx.doi.org/10.21236/ada198927.

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10

Davis, John R. Strategic C4I Planning through Stem. Fort Belvoir, VA: Defense Technical Information Center, April 1994. http://dx.doi.org/10.21236/ada280615.

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