Дисертації з теми "Multi-model model"
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Anastasopoulos, Achilles. "Cross model access in the multi-lingual, multi-model database management system." Thesis, Monterey, California. Naval Postgraduate School, 1997. http://hdl.handle.net/10945/8178.
Повний текст джерелаRelational, hierarchical, network, functional, and object oriented databases support its corresponding query language, SQL, DL/I, CODASYL-DML, DAPLEX, and OO-DML, respectively. However, each database type may be accessed only by its own language. The goal of M2DBMS is to provide a heterogeneous environment in which any supported database is accessible by any supported query language. This is known as cross model access capability. In this thesis, relational to object oriented database cross model access is successfully implemented for a test database. Data from the object oriented database EWIROODB is accessed and retrieved, using an SQL query from the relational database EWIROODB. One problem is that the two interfaces (object oriented and relational) create catalog files with different formation, which makes the cross model access impossible, initially. In this thesis the relational created catalog file is used, and the cross model access capability is achieved. The object oriented catalog file must be identical with the relational one. Therefore, work yet to be done is to write a program that automatically reformats the object oriented catalog file into an equivalent relational catalog file
Blackburn, Ian Russell. "A conceptual multi-model HCI model for the blind." Thesis, Curtin University, 2011. http://hdl.handle.net/20.500.11937/575.
Повний текст джерелаFrancisco-Revilla, Luis. "Multi-model adaptive spatial hypertext." Texas A&M University, 2004. http://hdl.handle.net/1969.1/1444.
Повний текст джерелаRaimondi, Franco. "Model checking multi-agent systems." Thesis, University College London (University of London), 2006. http://discovery.ucl.ac.uk/5627/.
Повний текст джерелаKwon, Ky-Sang. "Multi-layer syntactical model transformation for model based systems engineering." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42835.
Повний текст джерелаStrack, Beata. "Multi-column multi-layer computational model of neocortex." VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/3279.
Повний текст джерелаTitman, Andrew Charles. "Model diagnostics in multi-state models of biological systems." Thesis, University of Cambridge, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.612189.
Повний текст джерелаKelly, R. J. "Mathematical model of multi-phase snowmelt." Thesis, University of East Anglia, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.377740.
Повний текст джерелаSchagerström, Lukas. "Valideringsstudie av Multi-Zone Fire Model." Thesis, Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-78682.
Повний текст джерелаThere are a number of fire simulation programs on the market that are used to varying degrees, one of which is Fire Dynamics Simulator (FDS). One of the disadvantages of FDS is that it can take a lot of time to do a fire simulation. There are fire simulation programs that are very likely to perform fire simulations faster than FDS. For some of these fire simulation programs, there is no documentation on how the results produced by the programs compare with what would happen in the event of a real fire, something called to bethat is they are not validated. One of these fire simulation programs is Multi-Zone Fire Model (MZ-Fire Model). The fire simulation program MZ-Fire Model is based on a multi-zone concept developed by Suzuki et al. The multi-zone concept has been validated in previous studies, one of which is a fire in a tunnel but fires in smaller premises have also been tested. There is room for increased knowledge about how the multi-zone concept handles fires in large rooms, as there is no known documentation on this. Currently, there is not a single study dealing with the MZ-Fire Model program. The report describes the simulation of a fire in 4 different rooms by the programs MZ-Fire Model and FDS, its simulated values are then compared against each other.
Breschi, Valentina. "Model learning from data: from centralized multi-model regression to distributed cloud-aided single-model estimation." Thesis, IMT Alti Studi Lucca, 2018. http://e-theses.imtlucca.it/256/1/Breschi_phdthesis.pdf.
Повний текст джерелаKabilan, Vandana. "Using multi tier contract ontology to model contract workflow models." Licentiate thesis, KTH, Computer and Systems Sciences, DSV, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-1666.
Повний текст джерелаLegal Business Contracts govern the business relationshipbetween trading business partners. Business contracts are likeblueprints of expected business behaviour from all thecontracting parties involved. Business contracts bind theparties to obligations that must be fulfilled by expectedperformance events. Contractual violations can lead to bothlegal and business consequences. Thus it is in the bestinterests of all parties concerned to organise their businessprocess flows to be compliant to the stipulated businesscontracts terms and conditions.
However, Contract Management and Business Process Managementin the current information systems domain are not closelyintegrated. Also it is not easy for business domain experts orinformation systems experts to understand and interpret thelegal terms and conditions into their respective domain needsand requirements. This thesis addresses the above two issues inan attempt to build a semantic bridge across the differentdomains of a legal business contract. This thesis focuses onthe contract execution phase of typical business contracts andas such views contract obligations as processes that need to beexecuted and monitored. Business workflows need to be as closeas possible to the stated contract obligation executionworkflow.
In the first phase, a framework for modelling andrepresenting contractual knowledge in the form of Multi TierContract Ontology (MTCO) is proposed. The MTCO uses conceptualmodels as knowledge representation methodology. It proposes astructured and layered collection of individual ontologiesmoving from the top generic level progressively down tospecific template ontologies. The MTCO is visualised as areusable, flexible, extendable and shared knowledge base.
In the second phase, a methodology for deducing the ContractWorkflow Model (CWM) is proposed. The CWM is deduced from theMTCO and a contract instance document in a stepwise userguideline. The CWM outlines the preferred choreography ofbusiness performance that successfully fulfils the execution ofcontract obligations. The deduced CWM is visualised as an aidto monitor the contract, as a starting point for businessprocess integration and business process workflow design.
Johnston, Richard Karl. "The relational-to-object-oriented cross-model accessing capability in a multi-model and multi-lingual database system." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from the National Technical Information Service, 1993. http://handle.dtic.mil/100.2/ADA264911.
Повний текст джерелаLam, Samuel Kar Kin Cassidy Daniel Thomas. "Multi-component defect model for semiconductor lasers /." *McMaster only, 2003.
Знайти повний текст джерелаGonzalez, Pavel. "Model checking GSM-based multi-agent systems." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/39038.
Повний текст джерелаLu, Gehao. "Neural trust model for multi-agent systems." Thesis, University of Huddersfield, 2011. http://eprints.hud.ac.uk/id/eprint/17817/.
Повний текст джерелаDostaler, Marc. "Multi-level random data based correlator model." Thesis, University of Ottawa (Canada), 2005. http://hdl.handle.net/10393/26893.
Повний текст джерелаTatikunta, Raju. "TraGent : a multi agent stock exchange model /." Available to subscribers only, 2006. http://proquest.umi.com/pqdweb?did=1240702281&sid=18&Fmt=2&clientId=1509&RQT=309&VName=PQD.
Повний текст джерела高銘謙 and Ming-him Ko. "A multi-agent model for DNA analysis." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31222778.
Повний текст джерелаSchubert, Jan. "Multi-model-analysis of Arctic climate trends." Universität Leipzig, 2018. https://ul.qucosa.de/id/qucosa%3A31798.
Повний текст джерелаAlamad, Ruba Amin. "SURGERY DURATION ESTIMATION USING MULTI-REGRESSION MODEL." University of Akron / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=akron1498073495501962.
Повний текст джерелаRusso, Francesco. "Abstraction in model checking multi-agent systems." Thesis, Imperial College London, 2012. http://hdl.handle.net/10044/1/9294.
Повний текст джерелаKo, Ming-him. "A multi-agent model for DNA analysis /." Hong Kong : University of Hong Kong, 1999. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21949116.
Повний текст джерелаBelkhouche, Mohammed Yassine. "Multi-perspective, Multi-modal Image Registration and Fusion." Thesis, University of North Texas, 2012. https://digital.library.unt.edu/ark:/67531/metadc149562/.
Повний текст джерелаOgbonna, Emmanuel. "A multi-parameter empirical model for mesophilic anaerobic digestion." Thesis, University of Hertfordshire, 2017. http://hdl.handle.net/2299/17467.
Повний текст джерелаShan, Liang. "Joint Gaussian Graphical Model for multi-class and multi-level data." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/81412.
Повний текст джерелаPh. D.
Yang, Ang Information Technology & Electrical Engineering Australian Defence Force Academy UNSW. "A networked multi-agent combat model : emergence explained." Awarded by:University of New South Wales - Australian Defence Force Academy. School of Information Technology and Electrical Engineering, 2007. http://handle.unsw.edu.au/1959.4/38823.
Повний текст джерелаJorgensen, Joni Renee. "Ground verification of a multi-stage deployment model." Diss., Connect to online resource, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1433470.
Повний текст джерелаBlömeling, Frank. "Multi-level substructuring methods for model order reduction." Berlin dissertation.de, 2008. http://d-nb.info/988537184/04.
Повний текст джерелаRajhans, Akshay H. "Multi-Model Heterogeneous Verification of Cyber-Physical Systems." Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/251.
Повний текст джерелаNg, Peng-Teng Peter. "Distributed dynamic resource allocation in multi-model situations." Thesis, Massachusetts Institute of Technology, 1985. http://hdl.handle.net/1721.1/15184.
Повний текст джерелаMICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING.
Bibliography: leaves 351-354.
by Peng-Teng Peter Ng.
Ph.D.
Cohas, François. "Market share model for a multi-airport system." Thesis, Massachusetts Institute of Technology, 1993. http://hdl.handle.net/1721.1/49902.
Повний текст джерелаBindrees, Mohammed. "Multi-factor motivation model in software engineering environments." Thesis, Heriot-Watt University, 2015. http://hdl.handle.net/10399/3041.
Повний текст джерелаSharman, Karl J. "Non-invasive multi-view 3D dynamic model extraction." Thesis, University of Southampton, 2002. https://eprints.soton.ac.uk/256804/.
Повний текст джерелаBradel, Lauren C. "Multi-Model Semantic Interaction for Scalable Text Analytics." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/52785.
Повний текст джерелаPh. D.
Fechteler, Philipp. "Multi-View Motion Capture based on Model Adaptation." Doctoral thesis, Humboldt-Universität zu Berlin, 2019. http://dx.doi.org/10.18452/20803.
Повний текст джерелаPhotorealistic modeling of humans in computer graphics is of special interest because it is required for modern movie- and computer game productions. Modeling realistic human models is relatively simple with current modeling software, but modeling an existing real person in detail is still a very cumbersome task. This dissertation focuses on realistic and automatic modeling as well as tracking human body motion. A skinning based approach is chosen to support efficient realistic animation. For increased realism, an artifact-free skinning function is enhanced to support blending the influence of multiple kinematic joints. As a result, natural appearance is supported for a wide range of complex motions. To setup a subject-specific model, an automatic and data-driven optimization framework is introduced. Registered, watertight example meshes of different poses are used as input. Using an efficient loop, all components of the animatable model are optimized to closely resemble the training data: vertices, kinematic joints and skinning weights. For the purpose of tracking sequences of noisy, partial 3D observations, a markerless motion capture method with simultaneous detailed model adaptation is proposed. The non-parametric formulation supports free-form deformation of the model’s shape as well as unconstrained adaptation of the kinematic joints, thereby allowing to extract individual peculiarities of the captured subject. Integrated a-prior knowledge on human shape and pose, extracted from training data, ensures that the adapted models maintain a natural and realistic appearance. The result is an animatable model adapted to the captured subject as well as a sequence of animation parameters, faithfully resembling the input data. Altogether, the presented approaches provide realistic and automatic modeling of human characters accurately resembling sequences of 3D input data.
Koetje, Thabo. "Multi-objectives model predictive control of multivariable systems." Master's thesis, University of Cape Town, 2011. http://hdl.handle.net/11427/11426.
Повний текст джерелаKingetsu, Hiroaki. "Multi-agent Traffic Simulation using Characteristic Behavior Model." Doctoral thesis, Kyoto University, 2021. http://hdl.handle.net/2433/263781.
Повний текст джерелаHasasneh, Nabil M. "Chip multi-processors using a micro-threaded model." Thesis, University of Hull, 2006. http://hydra.hull.ac.uk/resources/hull:13609.
Повний текст джерелаSay, Fatih. "Exponential asymptotics : multi-level asymptotics of model problems." Thesis, University of Nottingham, 2016. http://eprints.nottingham.ac.uk/33986/.
Повний текст джерелаLiu, Xiang. "A Multi-Indexed Logistic Model for Time Series." Digital Commons @ East Tennessee State University, 2016. https://dc.etsu.edu/etd/3140.
Повний текст джерелаNichele, Stefano <1994>. "Business model innovation in crowdsourcing multi-sided platforms." Master's Degree Thesis, Università Ca' Foscari Venezia, 2019. http://hdl.handle.net/10579/15739.
Повний текст джерелаMorris, Richard Glenn. "A Hierarchical Multi-Output Nearest Neighbor Model for Multi-Output Dependence Learning." BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/3512.
Повний текст джерелаCHIEN, FENG-SUNG, and 簡楓松. "Macroeconomic Multi-Factor Model." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/42486777008104639150.
Повний текст джерела國立中山大學
財務管理學系研究所
104
The purpose of this paper is to construct a macroeconomic multi-factor risk model based on the listed stock market in Taiwan. The first part is to filter out the effective factors. We collect macroeconomic indicators from Taiwan and the USA and perform a unit root test to make sure that our data are stationary time series. We select the effective indicators according to the criteria in this paper and then use factor analysis and principal component analysis to derive our composite macro factors. The second part is to build the risk model, including estimating the factor exposure, specific return, specific risk and factor return covariance matrix. Finally, we conduct a bias test to evaluate the performance of our model during the out-of-sample period from 2008/01 to 2014/12. Our empirical results show the average R-squared of our model is 22%, which indicates that the macro factors selected using the methodology in this paper can explain part of the variability of stock returns and provide fund managers with macroeconomic viewpoints when doing index tracking or constructing enhanced portfolios.
Hsieh, Hsin-I., and 謝心怡. "Multi-Class Multi-Tiers Dasymetric Demographic Model." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/33465760518963285551.
Повний текст джерела國立臺灣大學
生物環境系統工程學研究所
95
The population distribution plays a crucial role in many research fields. However, the map of the population distribution is usually based on administrative divisions, and only shows the population density or the number of population in the region. Traditional maps of population distribution have problems like inadequate area size that is too large, the inapplicability of the administrative division unit in many applications and the change of the administrative boundaries over time. Many estimation methods of the population distribution have been proposed in literatures to improve the defects of the population distribution maps. However these proposed methods have its advantages and disadvantages. Most researches use a single estimate method. Some recent researches proposed the concept of the multi-layered estimation which integrates various estimation methods in the framework. A multi-layer and multi-class framework is proposed in this study to improve the accuracy in estimating the population distribution. Grid data structure with 40m of resolution was used. Each layer (building, land-use, and traffic accessibility layers) uses individual estimate methods (binary, multi-class, and accessibility) to estimate populations in each cell for better capture of spatial distribution of regional populations. The proposed framework can better capture the true population distribution in comparison with the traditional population density maps based on administrative divisions. The standard deviation of estimation errors decreases from 10.39 to 9.29 in the first layer, to 8.71 in the second layer, and 8.71 in the third layer. The results are also better than decomposing the total population based on administration units, the standard deviation of errors is 9.91(town) and 8.87(village) respectively. The numbers of cell without errors also increases and average errors in the erroneous cells decrease with improvements through layers. The mean error is 10.42 in the first layer, 8.65 in the second layer and 8.57 in the third one. It is also found that the improvement is most significant in the first layer and diminished in the following ones.
Mallya, Ajay. "Deductive multi-valued model checking /." 2006. http://proquest.umi.com/pqdweb?did=1221734391&sid=4&Fmt=2&clientId=10361&RQT=309&VName=PQD.
Повний текст джерелаHuang, Tzu-Jung, and 黃子容. "Revised Multi-Path MAXBAND model." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/v5dp37.
Повний текст джерела國立交通大學
運輸與物流管理學系
105
Signal control is one of the effective methods to enhance the utility of intersections. The concept is that vary the signal variables such as offsets, cycle length and phases length to maximize the throughput or minimize delays of synchronized intersections. MAXBAND model is a common mathematical programming of signal control researches, which solves the optimized offsets solution in order to maximize the progression bandwidth through a suite of synchronized intersections, and it is often applied in the two-way path progression problems. However, the traditional MAXBAND model cannot consider the effect of left-turn traffic flows discharged in ramps when it comes to the network problem of the surface approaches freeway ramps, such that the model solution sacrifices the efficiency of critical paths. To solve this issue as mentioned above, Yang et al.(2015) provided a multi-path progression MAXBAND model to consider the progression problems that include more than two large-volume paths, and make the model able to optimize the phase sequences. Based on the model Yang et al. (2015) proposed, this work extends the ability of the multi-path MAXBAND model, includes that (a) optimizing the phase length/ratio; (b) considering the traffic dispersion effects; (c) using the shockwave theory to formulate the constraints of maximum queue length in the intersections so that the variables of queue clearance time, offsets and cycle length are related in the model. The research takes the network in Chubei, Hsinchu as the experimental case, and use CORSIM simulator to measure the performances between the on-going timing plan and the solution of the revised multi-path MAXBAND model. The results show that the revised model provided by this work can improve over 40% efficiency of the synchronized intersections, and also improve at most 60% efficiency of each important path. Apart from this, this research provides the code programming in Gurobi C++ interface for the future researches.
Mukherjee, Prateep. "Active geometric model : multi-compartment model-based segmentation & registration." Thesis, 2014. http://hdl.handle.net/1805/4908.
Повний текст джерелаWe present a novel, variational and statistical approach for model-based segmentation. Our model generalizes the Chan-Vese model, proposed for concurrent segmentation of multiple objects embedded in the same image domain. We also propose a novel shape descriptor, namely the Multi-Compartment Distance Functions or mcdf. Our proposed framework for segmentation is two-fold: first, several training samples distributed across various classes are registered onto a common frame of reference; then, we use a variational method similar to Active Shape Models (or ASMs) to generate an average shape model and hence use the latter to partition new images. The key advantages of such a framework is: (i) landmark-free automated shape training; (ii) strict shape constrained model to fit test data. Our model can naturally deal with shapes of arbitrary dimension and topology(closed/open curves). We term our model Active Geometric Model, since it focuses on segmentation of geometric shapes. We demonstrate the power of the proposed framework in two important medical applications: one for morphology estimation of 3D Motor Neuron compartments, another for thickness estimation of Henle's Fiber Layer in the retina. We also compare the qualitative and quantitative performance of our method with that of several other state-of-the-art segmentation methods.
Yi-Tsen-Kuo and 郭羿岑. "Growth-Cycle Decomposition Multi-GenerationalDiffusion Model." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/26332121802274505739.
Повний текст джерела國立成功大學
工業與資訊管理學系碩博士班
98
Sales forecasting is one of the important events to every company. Changing in customers’ requirements and environment are related to procurement operations, inventory management, production scheduling and other enterprise activities. Accurate demand forecasts can achieve lower inventory costs, reduce manpower requirements, improve much customer service quality and business competitiveness. In this study, there are two different methods to forecast sales of DRAM industry. The first is Growth-Cycle Decomposition Multi-Generational Diffusion Model that is to forecast multi-generational DRAM sales. Because DRAM industry is easily affected by business cycle and price, General Multi-Generational Diffusion Model do not consider the business cycle variables. In this study, I use both price and GDP variables, wondering whether these variables are meaningful to the whole model after these two variables added. Norton and Bass (1987) model are extensively cited by many researchers. This study is also compared with Norton and Bass (1987) model. The second method is the grey theory,used to forecast global DRAM sales. Grey Theory method can easily deal with nonlinear problems, less data, small samples of forecasting. This study uses annual sales data of DRAM industry over the decade. Construct an appropriate sales forecasting model to improve the efficiency of enterprise management and decision-making as a reference for managers to improve the competitiveness of management. In this study, use the global DRAM as an empirical subject. Results show that Grey Theory for DRAM has good accuracy, and using only a small number of historical data set can predict well. Moreover, Growth-Cycle Decomposition Multi-Generational Diffusion Model joins price and GDP variables together which also does contribute to the whole model. Key
Huang, Jing-teng, and 黃敬棠. "Multi-factor model of vertical linkages." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/12572707578855327625.
Повний текст джерелаGvozdetska, Nataliia. "Transfer Learning for Multi-surrogate-model Optimization." 2020. https://tud.qucosa.de/id/qucosa%3A73313.
Повний текст джерела