Дисертації з теми "Soft clusters"
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Siddiqui, Mujahuddin M., Shaikh M. Mobin, Irena Senkovska, Stefan Kaskel, and Maravanji S. Balakrishna. "Novel zeotype frameworks with soft cyclodiphosphazane linkers and soft Cu₄X₄ clusters as nodes." Royal Society of Chemistry, 2014. https://tud.qucosa.de/id/qucosa%3A36036.
Повний текст джерелаCollins, David J. "Synthesis of Heterobimetallic Clusters and Coordination Networks via Hard-Soft Interactions." Miami University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=miami1209484624.
Повний текст джерелаAguilar, Ayala Roberto. "Applications of Metallic Clusters and Nanoparticles via Soft Landing Ion Mobility, from Reduced to Ambient Pressures." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1248434/.
Повний текст джерелаMayberry, Darrell D. "Synthesis, Characterization, and Reactivity of Prochiral Ruthenium Clusters and Bimetallic Rhenium Complexes with an Unsymmetrical Diphosphine and Hard-Soft Donor Ligands." Thesis, University of North Texas, 2019. https://digital.library.unt.edu/ark:/67531/metadc1538707/.
Повний текст джерелаMailer, Alastair George. "Colloidal cluster phases and solar cells." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/7651.
Повний текст джерелаMorawetz, Norbet. "The rise of co-productions in the film industry : the impact of policy change and financial dynamics on industrial organization in a high risk environment." Thesis, University of Hertfordshire, 2009. http://hdl.handle.net/2299/3469.
Повний текст джерелаPhillips, Rhonda D. "A Probabilistic Classification Algorithm With Soft Classification Output." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/26701.
Повний текст джерелаPh. D.
Aita, Antonello. "Extended Hubbard model with soft-shoulder interaction." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13999/.
Повний текст джерелаGarcía, Gutiérrez José Ramón. "Planificación de Diferentes Clases de Aplicaciones en Entornos No Dedicados Considerando Procesadores Multicore." Doctoral thesis, Universitat Autònoma de Barcelona, 2010. http://hdl.handle.net/10803/3066.
Повний текст джерелаEl poder de cómputo existente en los laboratorios y aulas de estudio universitarias, agrupaciones naturales de recursos informáticos, crea grandes oportunidades para la computación paralela, animándonos a buscar opciones viables para su aprovechamiento. Como resultado de este interés, nuestro grupo ha creado un entorno de planificación, enfocado hacia los clusters no dedicados. La constante y rápida evolución de los componentes, tanto a nivel de la arquitectura de la CPU como del sistema operativo, así como de las aplicaciones ejecutadas, hace que tengamos que adaptar nuestras propuestas. Nuestra propuesta consiste en crear una Máquina Virtual con doble funcionalidad, ejecutar la carga local de usuario y aprovechar los períodos de inactividad de nodos a efectos de poder usarlos para ejecutar carga paralela. Tanto el tipo de las aplicaciones como las características del hardware del escenario objetivo, y en el momento actual ambas han evolucionado. Nuevos tipos de aplicaciones paralelas con requerimientos periódicos de CPU son cada día más comunes en el mundo científico e industrial. Este tipo de aplicaciones pueden requerir un tiempo de retorno (turnaround) específico o una Calidad de Servicio (Quality of Service, QoS) determinada.
Para nuestro caso particular, reviste especial importancia el conocimiento que poseemos de los usuarios locales, debido a que nuestro entorno está diseñado para trabajar en clusters no dedicados. Un usuario local puede estar visualizando un vídeo almacenado en su ordenador, lo cual implica necesidades de CPU periódicas y un mayor uso de memoria. La aparición de nuevos tipos de aplicaciones, como vídeo bajo demanda ó realidad virtual, que se caracterizan por la necesidad de cumplir sus deadlines, presentando requerimientos periódicos de recursos. Este tipo de aplicaciones, donde la pérdida de deadlines no se considera un fallo severo, han sido denominadas en la literatura aplicaciones soft-real time (SRT) periódicas.
Esta interesante evolución de las necesidades de los usuarios no es el único digno de atención. El crecimiento en la capacidad de cómputo de los procesadores en los últimos años se ha visto frenado a causa de las barreras físicas del espacio y la velocidad de las señales, obligando a los fabricantes de procesadores a explorar otras vías de crecimiento. Desde hace ya algún tiempo el paralelismo de las aplicaciones se ha convertido en una de las grandes apuestas. Hoy en día los procesadores de dos núcleos son la mínima configuración que encontraremos en un ordenador, y se prevé que el número de núcleos continuará creciendo en los próximos años.
Los clusters no dedicados ofrecen un gran potencial de un uso, debido a que los recursos materiales ya están disponibles y el cálculo paralelo se realiza simultáneamente con el del usuario local. Imaginando el escenario actual en los clusters no dedicados, encontramos nuevas aplicaciones de escritorio y paralelas, así como plataformas hardware más potentes y complejas. En esta situación investigar el problema y realizar propuestas relacionadas con la planificación de los diferentes tipos de aplicaciones en clusters no dedicados, considerando las plataformas multicore, supone un nuevo reto a asumir por los investigadores y conforma el núcleo de este trabajo.
Today it is virtually impossible to find an institution that does not have a considerable amount of computers, due to the high level of computerization of society. The enormous potential of these large number of computers attract a lot of attention in science and industry, generating viable options for their use. The universities, institutions that historically have remained at the forefront of research and scientific innovation, represent a case particularly well positioned in generating both, computing resources and the need to use.
The computational power present in laboratories and university study rooms, natural groupings of information resources, creating great opportunities for parallel computing, encouraging us to seek viable options for their use. As a result of this interest, our group has created a parallel scheduling environment, focused on non-dedicated clusters. The constant and fast evolution of the components, both at the architecture of the CPU and the operating system and applications executed, forces us to adapt our proposals. Our proposal is to create a Virtual Machine with dual functionality, run the local load user and take advantage of downtime for the purposes of nodes it can be used to run parallel load. At present both, applications and hardware specifications of the target scenario, have evolved. New types of parallel applications with periodic CPU requirements are becoming more common in science and industry. Such applications may require a return time (turnaround) or a specific QoS (Quality of Service).
Since our framework is designed to work in non-dedicated clusters, having knowledge of the local users behavior is of particular importance. A local user may be viewing a video stored on your computer, which involves periodic CPU requirements and increased use of memory. The emerging new types of applications, such as video on demand or virtual reality are a fact. This new types of applications are characterized by the need to meet their deadlines, presenting periodic resource requirements. This type of application, where the loss of deadlines is not considered a severe failure, has been named in the literature uses soft-real time (SRT) at regular intervals.
This exciting evolution of user needs is not the only one worthy of attention. The growth in computing power of processors in recent years has been hampered because of the physical barriers of space and speed of the signals, forcing chip makers to explore other avenues of growth. For some time the parallelism of the applications has become one of the biggest bets. Today's dual-core processors are the minimum configuration of any computer, and it is expected that the number of nuclei continue to grow in the coming years.
The non-dedicated clusters offer great potential for use, because the computational resources are already available, and parallel computing is performed simultaneously with the local user. Figuring out the current scenario in the non-dedicated clusters, we find new desktop applications, parallel and more powerful and complex hardware platforms. In this situation, research lines related to the planning of the different types of applications in non dedicated clusters, considering multi-core platforms, is a new challenge to be assumed by researchers and constitute the core of this work.
Nicholls, Jonathan Christopher. "Soft-switching performance analysis of the clustered insulated gate bipolar transistor (CIGBT)." Thesis, De Montfort University, 2009. http://hdl.handle.net/2086/2396.
Повний текст джерелаTumanov, Alexey. "Scheduling with Space-Time Soft Constraints In Heterogeneous Cloud Datacenters." Research Showcase @ CMU, 2016. http://repository.cmu.edu/dissertations/865.
Повний текст джерелаSuarez, Andres. "Numerical simulation of multi-dimensional fractal soot aggregates." Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239186.
Повний текст джерелаYusuf, H. "Preventing obesity by reducing soft drinks consumption among young people attending dental practices : a feasibility cluster RCT." Thesis, University College London (University of London), 2015. http://discovery.ucl.ac.uk/1470597/.
Повний текст джерелаSchmitt, Thorsten. "Resonant Soft X-Ray Emission Spectroscopy of Vanadium Oxides and Related Compounds." Doctoral thesis, Uppsala University, Atomic and molecular physics, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-4290.
Повний текст джерелаThis thesis addresses the electronic structure of vanadium and copper oxides using soft X-ray absorption (SXA) spectroscopy and resonant inelastic X-ray scattering (RIXS) at high brightness synchrotron radiation sources. In RIXS incident photons, tuned to the energy of specific absorption resonances, are inelastically scattered leaving behind a low energy valence excitation in the system studied. Effects of electron localization are reflected by the occurrence of low-energy excitations in form of dd- and charge-transfer excitations that are modelled by cluster calculations. Band-like states are dominating when the intermediate core excited state is delocalized.
RIXS at V 2p and O 1s resonances has been used to study the electronic structure of the monovalent vanadium oxides VO2 and V2O3, and of the mixed valence compounds, NaV2O5 and V6O13. For NaV2O5 and V6O13 significant contributions from localized low-energy excitations reflect the partly localized character of their valence band electronic structure, whereas VO2 and V2O3 appear mostly as band-like. Effects of carrier doping are addressed for the case of Mo doping into VO2 and reveal a quasi-rigid band behavior. In the cases of VO2 and V6O13 the temperature dependent metal-insulator transition could be monitored by following the spectral evolution of bands originating from V 3d and V 3d - O2p hybridized states. For Na2V3O7 nanotubes it was possible to selectively probe states from the apical and the basal oxygen sites of VO5 pyramids that constitute these nanotubes. Furthermore, the RIXS technique has been demonstrated to be highly valuable in characterizing the charge transfer processes that accompany lithium insertion into vanadium oxide battery cathodes. Finally, for insulating cuprates RIXS at O 1s, Cu 3p and Cu 3s resonances has been recorded at high-resolution for the detailed investigation of crystal field excitations.
Williams, John Peter. "Long-range transport clusters, fine particulate matter (PM2.5) and soot concentrations of air masses in Cape Town, South Africa." University of the Western Cape, 2018. http://hdl.handle.net/11394/6560.
Повний текст джерелаAmbient air pollution is the biggest environmental threat to human health. According to the World Health Organisation (WHO), ambient air pollution kills millions of people worldwide every year. Airborne particulate matter (APM) affects more people than any other air pollutant and has been linked with various adverse health outcomes, especially fine fractions (commonly abbreviated to PM2.5). PM2.5 penetrates lung tissue to enter the cardiovascular system where it poses the greatest risk. Detailed ambient APM studies are rare in Africa. Such studies are needed to better understand the characteristics, origins and trends of particulate pollution. This study was conducted in Cape Town (the first of its kind for the area) as part of a bigger project on ambient PM2.5 and soot concentrations in South Africa. PM2.5 filter samples were collected at a fixed sampling site in the suburb of Kraaifontein from April 2017 to April 2018, yielding 121 days of data. PM2.5 mass concentration and absorption coefficient determinations were done using gravimetric analysis and smoke stain reflectometry (SSR). Mean PM2.5 concentration for the study period was 13.4 ± 8.1 μg.m-3 (range: 1.17-39.1 μg.m-3) that fell below the South African National Ambient Air Quality Standard (SA NAAQS) annual limit of 20 μg.m-3 but exceeded the WHO annual limit of 10 μg.m-3. Mean absorption coefficient for the same period was 1.38 ± 1.23 m-1.10-5 (range: 0.00-5.38 m-1.10-5) which did not exceeded any limits. Source-region analyses were performed using single, 24-hour backward trajectories and trajectory clusters derived from the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model. Six single trajectories were identified; the most frequent were trajectories Atlantic-Ocean (38.8 %) and Indian-Ocean (26.4 %). Cluster analyses yielded three to four clusters per season. Dominating clusters were Atlantic-Ocean (61.8 %) and Indian-Ocean (29.5 %) and Inland (8.50 %). Contributions by local sources (within 40 km of the sampling site) to PM mass in samples far exceeded those of distant sources through long-range transport (LRT).
Lorenz, Mario. "Optimierte Visualisierung auf segmentierten Anzeigen." Doctoral thesis, [S.l. : s.n.], 2005. http://www.gbv.de/dms/ilmenau/toc/503000310loren.PDF.
Повний текст джерелаBenamsili, Lyès. "Identification par RMN des saturations et de la dynamique des hydrocarbures dans des roches pétrolières." Phd thesis, Ecole Polytechnique X, 2013. http://pastel.archives-ouvertes.fr/pastel-00962339.
Повний текст джерелаCheung, Bing H. "Network configurations for seamless support of CDMA soft handoffs between cell-clusters." Thesis, 1996. http://hdl.handle.net/2429/5714.
Повний текст джерелаNegi, Ajay Singh. "Soft Matter Under Electric Field And Shear." Thesis, 2008. http://hdl.handle.net/2005/717.
Повний текст джерела(7054517), Syed Zahid Hassan. "A novel hybrid data mining approach for knowledge extraction and classification in medical databases." Thesis, 2008. https://figshare.com/articles/thesis/A_novel_hybrid_data_mining_approach_for_knowledge_extraction_and_classification_in_medical_databases/21443082.
Повний текст джерелаOver the past several years, there has been an explosion in the amount of medical data generated and subsequently collected in medical domain. Data mining techniques have been used extensively in mining the medical data. Obtaining high quality data mining results is very challenging because of the inconsistency of the results of different data mining algorithms and noise in the medical data.
This thesis presents a novel hybrid data mining approach for knowledge extraction and classification in medical databases. The proposed approach is formulated to cluster extracted features from medical databases into soft clusters using unsupervised learning strategies and fuse the decisions using serial and parallel data fusion techniques. The idea is to observe associations in the features and fuse the decisions made by learning algorithms to find the strong clusters which can make impact on overall classification accuracy. The novel techniques such as serial cascaded data fusion, parallel majority-voting based neural data fusion and parallel neural network based data fusion are proposed that allow integration of various clustering algorithms for hybrid data mining approach.
The proposed approach has been implemented and evaluated on the benchmark databases such as Digital Database for Screening Mammograms, Wisconsin Breast Cancer, Pima Indian Diabetics and ECG Heart Arrhythmia.
A comparative performance analysis of the proposed hybrid data mining approach with other existing approaches for knowledge extraction and classification is presented. The experimental results demonstrate the effectiveness of the proposed approach in terms of improved classification accuracy on benchmark medical databases.
Yu, Sheng, and 余昇. "Soft Error Correction Circuit Design in Cluster Low Voltage System." Thesis, 2019. http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22107CGU05442027%22.&searchmode=basic.
Повний текст джерелаYu, Shih-Ban, and 尤仕邦. "The comparison of cluster based Soft – Computing methods on the trend forecasting with the weighted stock price index." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/28777945982161194188.
Повний текст джерела開南大學
財務金融學系
97
This study utilized Back-Propagation Neural Network (BPNN)、Support Vector Machine(SVM) and Genetic Algorithm Fuzzy Decision Tree (GAFDT) as three primary prediction models to forecast the stock trading signals. And the data clustered or not will be compared in both models. The object of this research was the Weighted Price Index of the Taiwan Stock Exchange. In 25 technical indices, we first used stepwise regression analysis to sieve out relative important factors, and k-means cluster analysis was adopted for data clustering. Then five-full alternation was applied in the experimental design process. Model from one to three are utilized to predict by BPNN, SVM and GAFDT, respectively. GAFDT began with transferring continuous data to discrete data by fuzzy sets so as to increase the comprehensibility of decision tree, and then utilized Genetic Algorithms to optimize the parameters like fuzzy term numbers. Finally, we compare the different intervals between Weighted Price Index of the Taiwan Stock Exchange and S&P 500 by GAFDT. Empirical findings revealed that the highest accurate rate was GAFDT (82.93%), followed by SVM (76.12%) and BPNN (75.53%). The more clusters GAFDT and SVM swarm off, the higher the accurate rate is. The accurate rate of falling of stock was higher than correction and rising in Weighted Price Index of the Taiwan Stock Exchange. The accurate rate of rising of stock is higher than correction and falling in S&P 500. Consequently, the prediction will be affected by training and testing in different stock markets and tendencies.
Wang, Shin-Kung, and 王成功. "Effect of energy per atom (E/n) in Ar gas cluster ion beam (GCIB, Arn+) and O2+ cosputter for depth profiling of soft materials by secondary ion mass spectrometry." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/p8vzz2.
Повний текст джерела國立臺灣大學
材料科學與工程學研究所
105
Over the past few years, gas cluster ion beams (GCIB) has shown great capability of dealing with bio-materials and soft materials owing to its high sputter yield and low damage accumulation that preserved the molecular structures during depth profiling, therefore molecular ion of high mass can be obtained in subsequent analysis. However, although GCIB has lower damage accumulation comparing with C60+ and monoatomic ions, the inevitable alteration in chemical structure can still change the property of remaining surface and gradually affect the accuracy of depth profile. As a result, artifacts can still be observed in the resulting depth profiles. In order to further improve the depth profile of soft materials, low energy O2+ can be used to cosputter the surface to enhance the ionization yield and mask the damage accumulation. While the energy per atom (E/n) is known to be another important factor to the sputter process and previous works concluded higher E/n is beneficial, how the change in E/n affects GCIB-O2+ cosputter depth profile is not clear yet. In this study, bulk (Polyethylene Terephthalate, PET) was chosen as the modeling material and 10 - 20 kV Ar1000-4000 (E/n = 2.5 - 20) with or without O2+ beam was used to cosputter the surface. Spectra at different depths were obtained by a time-of-flight secondary ion mass spectrometer (ToF-SIMS) with pulsed Bi32+ as primary ion to construct the depth profile. After sputtering, the craters were measured by alpha step and atomic force microscope (AFM) with quantitative imaging mode. The result shows that with higher E/n, the resulting surface is more rough and the surface Young’s modulus became smaller compared with the pristine surface. This result suggested that depolymerization took place. Also, relative intensity (I) was comparatively weak in the depth profile, which indicated more damage accumulated. Furthermore, at E/n = 20, the sputter rate and secondary ion intensity decreased rapidly. Because the Young’s modulus increased significantly with low roughness, the result suggested that the system reached gel point rapidly. In other words, radical induced cross-link dominated the damage process. With the auxiliary O2+ as cosputter ion, it helps to break the ion-beam induced morphology and enhance the ionization yield that masked damage. As a result, steady-state can be obtained and depth profiles with less artifact were observed.