Дисертації з теми "Strip mining – Computer simulation"
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1
Chakraborty, Amal. "An integrated computer simulator for surface mine planning and design." Thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/90920.
Анотація:
In the increasingly competitive coal market, it is becoming more important for coal operators to develop mathematical models for surface mining which can estimate mining costs before the actual mining begins. The problem becomes even more acute with the new reclamation laws, as they affect surface coal mining methods, productivity, and costs.
This study presents a computer simulator for a mountaintop removal type of surface mining operation. It will permit users to compare the costs associated with different overburden handling and reclamation plans. It may be used to minimize productivity losses, and, perhaps, to increase productivity and consequently to reduce operating costs through design and implementation of modified mountain top removal methods.M.S.
2
Deering, P. R. "Computer simulation of the mine environment." Thesis, University of Nottingham, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.371276.
3
Maden, Engin. "Data Mining On Architecture Simulation." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/2/12611635/index.pdf.
Анотація:
Data mining is the process of extracting patterns from huge data. One of the branches
in data mining is mining sequence data and here the data can be viewed as a
sequence of events and each event has an associated time of occurrence. Sequence
data is modelled using episodes and events are included in episodes.
The aim of this thesis work is analysing architecture simulation output data by
applying episode mining techniques, showing the previously known relationships
between the events in architecture and providing an environment to predict the
performance of a program in an architecture before executing the codes. One of the
most important points here is the application area of episode mining techniques.
Architecture simulation data is a new domain to apply these techniques and by using
the results of these techniques making predictions about the performance of
programs in an architecture before execution can be considered as a new approach.
For this purpose, by implementing three episode mining techniques which are
WINEPI approach, non-overlapping occurrence based approach and MINEPI
approach a data mining tool has been developed. This tool has three main
components. These are data pre-processor, episode miner and output analyser.
4
Tuck, M. A. "Computer simulation of climate on a longwall coal face." Thesis, University of Nottingham, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.373791.
5
Tang, Chao. "Computational models for mining online drug reviews." HKBU Institutional Repository, 2014. https://repository.hkbu.edu.hk/etd_oa/87.
Анотація:
Healthcare social media is emerging in recent years with increasing attention on people’s health. Online review websites are not only diversi.ed with medicine, hospitals, or doctors but abundant in amount. To discover knowledge from these online reviews, several computational models are proposed. Online healthcare review websites are facing challenges in con.ict of interests among various healthcare stakeholders. To avoid legal complaints and better sustain under such circumstance, we propose a decoupling approach for designing healthcare review websites. Objective components such as medical condition and treatment are remained as the primary parts, as they are generic, impersonal and directly related to patients themselves. Subjective components, however, such as comments to doctors or hospitals are decoupled as secondary parts for sensitive and controversial information and are optional to reviewers. Our proposed approach shows better .exibility in managing of contents in different levels of details and ability of balancing the right of expression of reviewers with other stakeholders. To identity the patient-reported adverse reactions in drug reviews, we propose a consumer-oriented coding scheme using wordnet synonym and derivational related form. Signi.cant discrepancy of incidences of adverse reactions is discovered between online reviews and clinical trials. We proposed an adverse reaction report ratio model for integrated interpretation of adverse reactions reported in online reviews versus those from clinical trial. Our estimation on average adverse reactions shows high correlation with drug acceptability score obtained from a large-scale meta-analysis. To investigate the impact of key adverse reactions in patients’ perspective, we propose a topic model named Fisher’s Linear Discriminant Analysis Projected Nonnegative Matrix Factorization (FLDA-projected-NMF) for discovering discriminative features and topics with additional class information. With satisfaction scores provided in the reviews, discriminative features and topics on satisfaction are discovered and polarities of adverse reactions are estimated based on the discriminative feature weights. Discriminative features and topics on medication duration and on age group are obtained as well. Our method outperforms other supervised methods in evaluation of topic sentiment score and topic interpretation measured by entropy. Patient-reported adverse reaction terms are mined from reviews with comment class label. Some new adverse reactions in depression drug and statin drug are also discovered. To further study patients’ behaviors, we use structural equation modeling for studying the relationship of factors in patients’ treatment experience with patients’ quality of life. In covariance model, most adverse reactions are found of small covariance except nausea, headache and dizziness. In measurement model, coef.cients of individual adverse reactions on latent adverse reaction are correlated to the incidence of adverse reactions. In structural model, we model the relationship of latent adverse reaction, rating score, positive sentiment and negative sentiment. Comparison between the measurement models of rating scores of depression drug and statin drug shows that there could be latent factors to account for the variances of latent rating, which shows correlations with the severity of adverse reactions.
6
Park, Hee Bong. "Non-steady state computer simulation of the climate in advanced headings." Thesis, University of Leeds, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.293753.
7
Artica, I., G. Quispe, and C. Raymundo-Ibañeez. "Ventilation System Simulation Model at a Mine." IOP Publishing Ltd, 2019. http://hdl.handle.net/10757/656302.
Анотація:
This research project modeled and simulated a ventilation system at a Mining Concession, obtaining real-time information regarding the fans used to ventilate the mine. The simulation was developed using the VENTSIM 5 software, which also helped define the number of fans and the operating parameters required, field information, mine dimensions, the mining method, production, geothermal gradient, gas emission, air stream, and air pressure. In addition, the results from software operation revealed the need to open chimneys and use fans. Furthermore, the results also suggest that a specialist dedicated to ventilation and fan maintenance must be hired to formalize mining operations as per the Occupational Safety and Health Mining Regulations from Executive Action No. 024-2016-EM as this Mining Concession is currently operating without license.
8
Jiang, Ming. "A feature-based approach to visualizing and mining simulation data." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1119020006.
Анотація:
Thesis (Ph. D.)--Ohio State University, 2005.Title from first page of PDF file. Document formatted into pages; contains xvi, p. 116; also includes graphics. Includes bibliographical references (p. 108-116). Available online via OhioLINK's ETD Center
9
Grenoble, B. Alex. "Microcomputer simulation of near seam interaction." Thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/90929.
Анотація:
The mining of coal within 110 feet below a previously mined seam creates interaction effects which can be detrimental to work in the lower seam. These interaction effects are characterized by zones of very high stress and result in floor and roof instability and pillar crushing.
Recent developments in the field of ground control make it possible to determine with a certain degree of confidence the location of these zones and estimate the degree to which the interaction will affect the lower seam. This information has been incorporated into a software package for microcomputers which will predict lower seam problems and suggest design criteria for minimizing the difficulties which will be encountered.M.S.
10
Chau, Kam Shing Patrick. "A finite element model for stress analysis of underground openings /." Thesis, McGill University, 1988. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=63962.
11
Mallinson, Clyde A. "Risk analysis assessment of the influence of geological factors on exploration and mining investment alternatives : development of a microcomputer simulation model." Thesis, Rhodes University, 1987. http://hdl.handle.net/10962/d1001564.
Анотація:
A microcomputer risk analysis model is developed and used in an exploration - delineation simulation to analyse in particular the effects of geological factors on exploration mining investment alternatives. Analysis of results indicate that geological parameters can have profound effects on such investment alternatives and that the role of the geologist in determining and evaluating the significance of the various geological factors is critical. Simulation examples highlight some of the key geological parameters and show how changes in these parameters influence both the expected mean results and the standard deviations of such means. The risk analysis model provides an ideal means of conveying the importance of the different geoiogical factors on exploration - delineation - mining investment alternatives and may be used as a geological education aid
12
Schafrik, Steven J. "Evaluation and Simulation of Wireless Communication and Tracking in Underground Mining Applications." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/19363.
Анотація:
In an underground coal mine, the measure of a communication system is the coverage area it can provide at a quality that ensures a miner can communicate with other miners in and out of the mine during normal and emergency operations. The coverage area of a wireless mesh communication system can be calculated using the tool, COMMs, developed and discussed in this document. This tool can also be used to explore emergency operations, or operations where the mesh infrastructure is degraded or destroyed. Most often, the communication system is also capable of transmitting data from sensors including a set of sensors, such as Radio Frequency Identification readers, described as the tracking system.An underground tracking system is described as a system that calculates a location in a useful coordinate when a tracked device is underground. The tracked device is a representative of a miner, group of miners or equipment, depending on state law and the mine\'s deployment. The actual location of the miner or equipment being tracked is the Ground Truth Position (GTP) and the tracking system\'s representation in the same coordinate system at the same time is the Tracking System Position (TSP). In an excellent tracking system the actual location, GTP, and TSP will be very close to each other. This work also develops a set of calculated metrics that describe tracking system performance.
The Tracking Coverage Area metric refers to the area within the mine that the tracking system either actively measures a tracked device\'s location or infers it based on the spatial limitations of the mine and information other than active measurements. Average Accuracy is the arithmetic mean of a set of distances from the TSP to the GTP associated with a tracking system. The Average Cluster Radius metric is the average distance a set of TSPs are from their center point, which is determined by the average location of a TSP relative to the GTP. A 90% Confidence Distance is the distance from a tracked device\'s actual location (i.e., GTP) that is greater than 90% of the collected distance from GTP to TSP magnitudes ("90th percentile").
Regulatory guidelines in the United States currently define different tracking qualities at locations in the mine. These can be classified in location categories of Working Face, Strategic Areas, and Escapeways and Travel-ways.
All direct paths via escapeway or travel-way from the mine portal to the working face should be simplified into a one-dimensional path that is subdivided by the three regulatory categories. Each of these subdivisions should be described using the metrics defined above.
These metrics can be predicted using COMMs for a tracking system that is utilizing an underground wireless mesh system that uses Received Signal Strength Indicators (RSSI) to calculate the TSP. Because the tracking system\'s algorithm to convert RSSI into a TSP is proprietary to the manufacturer, in order to develop predictions the engineer must collaborate with the manufacturer. In this document, the predictions and calculations were obtained in conjunction with the manufacturer and proved to be accurate describing the tracking system that was designed and tested.
Ph. D.
13
Ortiz-Vertiz, Salvador R. "Potential uranium supply system based upon computer simulation of sequential exploration and decisions under risk." Diss., The University of Arizona, 1991. http://hdl.handle.net/10150/185679.
Анотація:
One of the more elusive problems in the area of mineral resource assessment is the comprehensive description of potential supply from undiscovered deposits, especially for economic conditions outside of historical experience. This dissertation consists of the design of a Monte Carlo simulation system to estimate potential supply of roll-type deposits. The system takes a given uranium endowment probability distribution and aims at two major and interrelated objectives. First, to design a system that estimates potential supply even when prices are much higher than previous or current prices. Second, to account fully for the cost of discovering and mining the individual mineral deposits contained in given endowment. Achievement of these objectives constitutes the major contribution of this study. To accomplish them, the system considers: cost of risk, return on investment, cost of failures during the search process, discovery depletion, and effect of physical characteristics of the deposits on exploration and mining costs. It also considers that when economic conditions, such as product price, are outside historical experience, existing behavioral rules--exploration drilling density, stopping rules, minimum attractive deposit size and grade, and mining parameters--are irrelevant. Instead, those decision rules are determined internally by the system. The system design task--particularly the exploration model--is greatly compounded by these objectives. As far as can be determined from models reported in published papers, the exploration model of this dissertation is unique in several ways. It is the most disaggregated sequential model designed to date. It is the first one that models geologic features that are used as exploration guides, and the only one that separates the physical elements of the search process from the economic elements and links the two to decide the optimal activity level at every exploration stage. Although the system is designed for a specific mineral and mode of occurrence, the system architecture is general and can be used with an exploration model prepared specifically for other minerals.
14
Dubey, Rohini. "PERFORMANCE EVALUATION of MILITARY TRAINING EXERCISES USING DATA MINING." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13060.
Анотація:
Attaining training objectives is the measure of a successful training as objectives defines the purpose of instructional events. Application of the training objectives is challenging in large and complex military trainings. The trainings in military domain not only focus on the completion of the trainings but effectively achieving the objectives of the training is the goal of the exercises. It has been realized that the performance to achieve the goal is strengthen by the instructional processes and materials which are crafted to address specific training objectives. Simulation is one of the effective and realistic learning tools which can be used in trainings. As it is known that simulation generates enormous data, analysis of this data which may contain hidden information is a challenging task. The use of data mining is a solution to this problem. The aim of this project is to propose a framework of a system for the instructors which can be followed for evaluating trainee’s performance so that their fulfillment of the training objectives can be improved. A proposal which is studied in this project is learning from previous training experiences using data mining techniques to improve the effectiveness of the training by predicting the performance of the trainee. For selecting the good prediction model to estimate the learning outcome of the trainees, different classification techniques have been compared. CRISP-DM model is considered as a base for proposing the framework in this dissertation. Proposed framework is then applied on the dataset obtained from the Swedish Military for the exercises which involved shooting the target.
15
Güneş, Serkan. "Investment and Financial Forecasting : A Data Mining Approach on Port Industry." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5340.
Анотація:
ABSTRACT This thesis examines and analyzes the use of data mining techniques and simulations as a forecasting tool. Decision making process for business can be risky. Corporate decision makers have to make decisions to protect company’s benefit and lower the risk. In order to evaluate data mining approach on forecasting, a tool, called IFF, was developed for evaluating and simulating forecasts. Specifically data mining techniques’ and simulation’s ability to predict, evaluate and validate Port Industry forecasts is tested. Accuracy is calculated with data mining methods. Finally the probability of user’s and simulation model’s confidentiality is calculated. The results of the research indicate that data mining approach on forecasting and Monte Carlo method have the capability to forecast on Port industry and, if properly analyzed, can give accurate results for forecasts.
16
Bawelkiewicz, Konrad Jack Mining Engineering Faculty of Engineering UNSW. "The development of a virtual reality self escape simulation tool for the purposes of training and assessment." Awarded by:University of New South Wales. Mining Engineering, 2005. http://handle.unsw.edu.au/1959.4/22304.
Анотація:
This study investigates the research on current self escape practices, the need for training on emergency evacuation procedures and the use of virtual reality simulations for the purposes of training. Thus, this project focuses on the advantages of using virtual reality as an educational tool and follows the development and design aspects of the tool. It includes each phase in development of the tool, including current research on self escape practices, training needs analyses and the actual design phases of the simulation. The design phase focuses on the objects and animations required to be implemented in order to create a realistic virtual mine. The programming logic of the simulation tool is also examined. Moreover, the final simulation is evaluated and proved to be an appropriate form of assessment and efficient learning environment for the trainee. Furthermore, recommendations are made for future developments.
17
Flack, Paul E. 1960. "A method for establishing base-line soil loss rates on surface mine sites." Thesis, The University of Arizona, 1989. http://hdl.handle.net/10150/276985.
Анотація:
Surface mining operations require a comparison of post-mining erosion rates with pre-mining soil loss to ascertain if remedial measures are needed. In this study the Universal Soil-Loss Equation (USLE) was modified to reflect conditions of western rangelands to develop a procedure for estimating pre-mining soil loss rates. The modification used back-calculation for the C-Factor and an adjusted R-Factor based on storm size. Soil loss simulation based on stochastic precipitation patterns is appropriate to the site--the La Plata mine area in northern New Mexico--and increases the flexibility of the USLE as a soil loss predictor for western rangelands.
18
Uzelac, Lawrence Stevan. "A Multiple Coupled Microstrip Transmission Line Model for High-Speed VLSI Interconnect Simulation." PDXScholar, 1991. https://pdxscholar.library.pdx.edu/open_access_etds/4526.
Анотація:
A model is presented which incorporates the advantages of a mixed mode simulation to characterize transmission line behavior in multiple coupled Transmission line systems. The model is intended for use by digital circuit designers who wish to be able to obtain accurate transmission line behavior for complex digital systems for which continuous time simulation tools such as SPICE would time prohibitive. The model uses a transverse electromagnetic wave approximation to obtain solutions to the basic transmission line equations. A modal analysis technique is used to solve for the attenuation and propagation constants for the transmission lines. Modal analysis done in the frequency domain after a Fast Fourier Transform of the time-domain input signals. Boundary conditions are obtained from the Thevinized transmission line input equivalent circuit and the transmission line output load impedance. The model uses a unique solution queue system that allows n-line coupled transmission lines to be solved without resorting to large order matrix methods or the need to diagonals larger matrices using linear transformations. This solution queue system is based on the method of solution superposition. As a result, the CPU time required for the model is primarily a function of the number of transitions and not the number of lines modeled. Incorporation of the model into event driven circuit simulators such as Network C is discussed. It will be shown that the solution queue methods used in this model make it ideally suited for incorporation into a event-driven simulation network. The model presented in this thesis can be scaled to incorporate direct electromagnetic coupling between first, second, or third lines adjacent to the line transitioning. It is shown that modeling strictly adjacent line coupling is adequate for typical digital technologies. It is shown that the model accurately reproduces the transmission line behavior of systems modeled by previous authors. Example transitions on a 8-line system are reviewed. Finally, future model improvements are discussed.
19
Chen, Yun. "Mining Dynamic Recurrences in Nonlinear and Nonstationary Systems for Feature Extraction, Process Monitoring and Fault Diagnosis." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6072.
Анотація:
Real-time sensing brings the proliferation of big data that contains rich information of complex systems. It is well known that real-world systems show high levels of nonlinear and nonstationary behaviors in the presence of extraneous noise. This brings significant challenges for human experts to visually inspect the integrity and performance of complex systems from the collected data. My research goal is to develop innovative methodologies for modeling and optimizing complex systems, and create enabling technologies for real-world applications. Specifically, my research focuses on Mining Dynamic Recurrences in Nonlinear and Nonstationary Systems for Feature Extraction, Process Monitoring and Fault Diagnosis. This research will enable and assist in (i) sensor-driven modeling, monitoring and optimization of complex systems; (ii) integrating product design with system design of nonlinear dynamic processes; and (iii) creating better prediction/diagnostic tools for real-world complex processes.
My research accomplishments include the following.
(1) Feature Extraction and Analysis:
I proposed a novel multiscale recurrence analysis to not only delineate recurrence dynamics in complex systems, but also resolve the computational issues for the large-scale datasets. It was utilized to identify heart failure subjects from the 24-hour heart rate variability (HRV) time series and control the quality of mobile-phone-based electrocardiogram (ECG) signals.
(2) Modeling and Prediction:
I proposed the design of stochastic sensor network to allow a subset of sensors at varying locations within the network to transmit dynamic information intermittently, and a new approach of sparse particle filtering to model spatiotemporal dynamics of big data in the stochastic sensor network. It may be noted that the proposed algorithm is very general and can be potentially applicable for stochastic sensor networks in a variety of disciplines, e.g., environmental sensor network and battlefield surveillance network.
(3) Monitoring and Control:
Process monitoring of dynamic transitions in complex systems is more concerned with aperiodic recurrences and heterogeneous types of recurrence variations. However, traditional recurrence analysis treats all recurrence states homogeneously, thereby failing to delineate heterogeneous recurrence patterns. I developed a new approach of heterogeneous recurrence analysis for complex systems informatics, process monitoring and anomaly detection.
(4) Simulation and Optimization:
Another research focuses on fractal-based simulation to study spatiotemporal dynamics on fractal surfaces of high-dimensional complex systems, and further optimize spatiotemporal patterns. This proposed algorithm is applied to study the reaction-diffusion modeling on fractal surfaces and real-world 3D heart surfaces.
20
Farrand, Steven Wesley. "Rockfall Modelling Parameters and the Control Barrier at Stockton Mine, New Zealand." Thesis, University of Canterbury. Geological Sciences, 2007. http://hdl.handle.net/10092/3520.
Анотація:
Solid Energy New Zealand plans to mine a 6 to 10m thick coal seam below the Mt. Augustus and Mt. Fredrick ridgeline at Stockton Mine near Westport, NZ. The coal is covered by up to 30m of overburden, which requires removal to access 4 million tones of high quality coal. However, the Coal Mining Lease boundary (CML) is located just below the basal coal measures and the neighbouring land is owned by the Department of Conservation (DoC). In addition, the neighbouring DoC estate is Powelliphanta Augustus snail habitat. It is necessary to remove the overburden without releasing any material above natural discharge levels onto the DoC land. In order to control the rockfall risk at the site, the largest design-build rockfall protection project in the southern hemisphere was constructed using a high-capacity dynamic rockfall barrier installed along the length of the ridgeline. During the design phase of the project, it was evident that current methods to determine the coefficient of restitution (normal and tangential) are subjectively based on the designer's judgement. Currently, there is limited quantitative information available for the determination of dampening coefficients (restitution coefficients) for use in rockfall computer simulation programs. Accurate parameters are necessary for the design and dimensioning of rockfall protection structures. This project investigates an objective method to calculate these parameters for use in rockfall modelling based on field measurements of the slope. The first stage of the project is a review of current rockfall simulation programs and rockfall mechanics. This is followed by a review of the design of the rockfall protection measures installed at Stockton Mine. The site is revisited and detailed investigations are performed to further classify the slope conditions and observe current ridgeline mining methodology and effectiveness. Included in this are detailed geotechnical investigations of the slope (soil and rock) materials. The majority of the slopes below the ridgeline mining are heavily vegetated. This project investigates the interrelation of rockfall and vegetation. A series of laboratory tests are conducted using rock and soil samples from the ridgeline-mining project. Overburden samples were cut into spheres and cubes to investigate the influence of shape and rockfall trajectory. A rockfall simulation device was fabricated to drop samples of various shapes onto rock slabs and soil beds. The drop test trajectories were filmed using high-speed video recordings and used for rebound calculations. The purpose of these tests was to observe the effect of impact angle (slope angle) and shape on the coefficients of restitution. Also investigated was the influence of soil moisture and density on rockfall impacts. Observations from the field investigations and laboratory experiments were then used to calibrate the original rockfall design parameters at the site. This included comparing several common commercially available rockfall simulation programs for trajectory analysis. Recent rockfall events that have occurred during the ridgeline mining were compared to original estimates of volume and block-size to actual rockfall events (both natural and mining-induced).
21
Soltani, Ali. "ANALYSIS OF THE ARMPS DATABASE USING FLAC3D; A PILLAR STABILITY COMPARISON FOR ROOM AND PILLAR COAL MINES DURING DEVELOPMENT." UKnowledge, 2015. http://uknowledge.uky.edu/mng_etds/22.
Анотація:
Designing a safe and economical mining activity is the main goal of every mine design engineer. With the rise of computer modeling in mine design there is a need for a standardized method to use geologic characterization of rocks in engineering design. In this research, first a review of empirical methods will be conducted and after that a step-by-step method is presented to adequately use FLAC3D, for development pillars, in room and pillar mine in development stage. ARMPS database is used to evaluate the FLAC3D model results. ARMPS database consists of 645 case study in room and pillar mines. 170 of them are mines in development phase. In this research all 170 cases will be analyzed in FLAC3D v4.0 and the results will be compared to actual success and failure from the database. Also, the stability factor found from FLAC3D will be compared to ARMPS. Finally, it is tried to calibrate FLAC3D stability factor so it can be used in room and pillar design.
22
Pasquier, Nicolas. "Data Mining : algorithmes d'extraction et de réduction des règles d'association dans les bases de données." Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2000. http://tel.archives-ouvertes.fr/tel-00467764.
Анотація:
L'extraction de connaissances dans les bases de données, également appelé data mining, désigne le processus non trivial permettant d'extraire des informations et des connaissances utiles qui sont enfouies dans les bases de données, les entrepôts de données (data warehouse) ou autres sources de données. Les recherches en ce domaine sont motivées par la croissance très rapide des volumes de données stockées et le potentiel de telles informations pour l'aide à la décision dans de nombreux domaines. Dans ce mémoire, nous traitons du problème de la génération efficace des règles d'association. Une règle d'association est une implication conditionnelle entre ensembles d'attributs binaires appelés items. Dans l'ensemble des travaux existants, ce problème est décomposé en deux sous-problèmes qui sont la recherche des ensembles fréquents d'items et la génération des règles d'association à partir de ces ensembles. Le premier sous-problème a une complexité exponentielle dans la taille de la relation en entrée et nécessite de parcourir à plusieurs reprises la totalité de la relation. L'extraction des ensembles fréquents d'items constitue donc la phase la plus coûteuse en termes de temps d'exécution et d'espace mémoire pour les algorithmes d'extraction des règles d'association. Nous proposons une nouvelle sémantique pour le problème de l'extraction des règles d'association basée sur la connexion de Galois d'une relation binaire finie. Utilisant cette sémantique, nous démontrons que les ensembles fermés fréquents d'items constituent une base, c'est à dire un ensemble générateur non redondant, pour les ensembles fréquents d'items et les règles d'association. Nous proposons deux nouveaux algorithmes, nommés Close et A-Close, permettant l'extraction des ensembles fermés fréquents d'items, à partir desquels les ensembles fréquents d'items et les règles d'association peuvent être dérivés sans accéder au jeu de données. Les résultats expérimentaux démontrent que ces algorithmes permettent de réduire les temps d'extraction des règles d'association dans le cas de jeux de données constitués de données denses ou corrélées. Utilisant la sémantique définie, nous proposons d'améliorer la pertinence et l'utilité des règles d'association extraites en limitant l'extraction à des bases pour les règles d'association. Nous adaptons pour cela les bases pour les règles d'implication définies en analyse de données et nous définissons de nouvelles bases constituées des règles non redondantes d'antécédents minimaux et de conséquences maximales à partir des ensembles fermés fréquents. Nous proposons également des algorithmes efficaces de génération de ces bases.
23
Su, Jing. "Knowledge discovery of cell-cell and cell-surface interactions." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/22648.
Анотація:
Thesis (Ph. D.)--Biomedical Engineering, Georgia Institute of Technology, 2008.Committee Chair: Meredith, Carson; Committee Co-Chair: Galis, Zorina; Committee Co-Chair: McIntire, Larry; Committee Member: García, Andrés; Committee Member: Prausnitz, Mark.
24
Fraher, Richard Louis. "Optimizing roof control using probabilistic techniques in roof failure prediction." Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-10062009-020200/.
25
Wolf, Martin. "Visualisierung und Quantifizierung der Fluiddynamik in Bohrkernen aus dem Salinar und Deckgebirge des Raumes Staßfurt mittels Positronen-Emissions-Tomographie." Doctoral thesis, Universitätsbibliothek Leipzig, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-77160.
Анотація:
Der ehemalige Salzbergbau im Raum Staßfurt führt seit dem 19. Jahrhundert zu Subrosion und teils bruchhaften Deformationen und damit verbundenen Senkungen und Vernässungen im Stadtgebiet. Im Rahmen eines Forschungsverbundvorhabens unter Federführung der BGR sollen in dieser Arbeit die grundlegenden strömungsdynamischen Prozesse im Salinar und Deckgebirge der betroffenen geologischen Formationen aufgeklärt werden. An Bohrkernen aus den entsprechenden Bereichen werden Durchflussexperimente durchgeführt und die Fluiddynamik im Inneren der Proben mittels Positronen-Emissions-Tomographie dreidimensional dargestellt. In Kooperation mit der Bundesanstalt für Materialforschung- und prüfung Berlin und dem Geologischen Institut der Johannes-Gutenberg Universität Mainz werden diese PET-Messungen der Fluiddynamik mit hochauflösenden computertomographischen Messungen der internen Struktur der Proben in Übereinstimmung gebracht. Die beobachteten Fließmuster sollen mittels einer Lattice-Boltzmann-Simulation nachvollzogen und dadurch das grundlegende Verständnis der Strömungsdynamik in diesen Gesteinen erweitert werden. Langfristig soll dies zu einer Verbesserung des Verständnisses der Grundwasserdynamik auf regionaler Ebene führen.
26
MUKHERJI, ABHISHEK. "SNIF TOOL - Sniffing for Patterns in Continuous Streams." Digital WPI, 2008. https://digitalcommons.wpi.edu/etd-theses/161.
Анотація:
Recent technological advances in sensor networks and mobile devices give rise to new challenges in processing of live streams. In particular, time-series sequence matching, namely, the similarity matching of live streams against a set of predefined pattern sequence queries, is an important technology for a broad range of domains that include monitoring the spread of hazardous waste and administering network traffic. In this thesis, I use the time critical application of monitoring of fire growth in an intelligent building as my motivating example. Various measures and algorithms have been established in the current literature for similarity of static time-series data. Matching continuous data poses the following new challenges: 1) fluctuations in stream characteristics, 2) real-time requirements of the application, 3) limited system resources, and, 4) noisy data. Thus the matching techniques proposed for static time-series are mostly not applicable for live stream matching. In this thesis, I propose a new generic framework, henceforth referred to as the n-Snippet Indices Framework (in short, SNIF), for discovering the similarity between a live stream and pattern sequences. The framework is composed of two key phases: (1.) Off-line preprocessing phase: where the pattern sequences are processed offline and stored into an approximate 2-level index structure; and (2.) On-line live stream matching phase: streaming time-series (or the live stream) is on-the-fly matched against the indexed pattern sequences. I introduce the concept of n-Snippets for numeric data as the unit for matching. The insight is to match small snippets of the live stream against prefixes of the patterns and maintain them in succession. Longer the pattern prefixes identified to be similar to the live stream, better the confirmation of the match. Thus, the live stream matching is performed in two levels of matching: bag matching for matching snippets and order checking for maintaining the lengths of the match. I propose four variations of matching algorithms that allow the user the capability to choose between the two conflicting characteristics of result accuracy versus response time. The effectiveness of SNIF to detect patterns has been thoroughly tested through extensive experimental evaluations using the continuous query engine CAPE as platform. The evaluations made use of real datasets from multiple domains, including fire monitoring, chlorine monitoring and sensor networks. Moreover, SNIF is demonstrated to be tolerant to noisy datasets.
27
Alves, Roberto Teixeira. "Um sistema imunológico artificial para classificação hierárquica e multi-label de funções de proteínas." Universidade Tecnológica Federal do Paraná, 2010. http://repositorio.utfpr.edu.br/jspui/handle/1/1057.
Анотація:
CAPESEsta tese propõe um novo algoritmo baseado em Sistemas Imunológicos Artificiais (SIA) para classificação hierárquica e multi-label, onde os classificadores gerados são representados na forma de regras SE-ENTÃO. A classificação hierárquica e multi-label é considerada desafiadora uma vez que um exemplo está associado a uma ou mais classes organizadas hierarquicamente, sendo que esta organização estrutural de classes deve ser considerada na construção dos classificadores. A técnica proposta aborda a construção de classificadores hierárquicos locais (onde cada classificador processa apenas exemplos de classes em uma região local da hierarquia) e globais (onde um único classificador processa exemplos de todas as classes ao mesmo tempo). A área de aplicação utilizada para validação desta tese foi a predição de função biológica de proteínas usando termos da ontologia gênica como classes a serem preditas pelo SIA. O desempenho do algoritmo é avaliado experimentalmente para 10 bases de proteínas. Os critérios de avaliação do algoritmo nos experimentos computacionais são a precisão preditiva (taxa de acerto e área da curva precision-recall) e a simplicidade do conhecimento descoberto (medida pelo número de regras e número total de condições nas regras descobertas). Os experimentos computacionais permitem identificar parâmetros e procedimentos que influenciam no desempenho da técnica proposta. Os testes comparativos com outras abordagens mostram que sobre alguns conjuntos de experimentos a abordagem proposta se mostrou superior, enquanto em outros conjuntos não foi possível superar a técnica da literatura usada para comparação.
This thesis proposes a new approach based on Artificial Immune System (AIS) for hierarchical multi-label classification, where the classifiers produced by the system are represented in the form of IF-THEN classification rules. Hierarchical multi-label classification is a challenging problem, because an example is associated with one or more classes organized into a hierarchy and the class hierarchy must be considered in the construction of the classifiers. The proposed method addresses the construction of local hierarchical classifiers (where each classifier processes only examples of classes in a local region of the hierarchy) and global hierarchical classifiers (where a single classifier processes examples of all classes at the same time). The application domain used to validate the proposed methods was the prediction of the biological function of proteins, using terms of the Gene Ontology as classes to be predicted by the AIS. The performance of the algorithm was evaluated in computational experiments with 10 datasets of proteins. The evaluation criteria in these experiments were the predictive accuracy (accuracy rate and the area under the precision-recall curve) and the simplicity of the discovered knowledge (measured by the number of rules and total number of conditions in the discovered rules). The computational experiments allowed the identification of parameter settings and procedures that significantly influence the performance of the proposed method. The experiments comparing the proposed method with other methods have shown that in some datasets the proposed method outperformed other methods, whilst in other datasets it was not possible to outperform other methods proposed in the literature.
28
Amaral, Jomar Batista. "Simulação computacional de tungstatos tipo Scheelita para aplicações ópticas." Pós-Graduação em Física, 2013. https://ri.ufs.br/handle/riufs/5304.
Анотація:
The scheelite type tungstates MWO4 have been studied for a long time due to their optical properties. The main property is the luminescence, both intrinsic and extrinsic (when doped with trivalent lanthanide ions, Ln3+). Another group of scheelite- typed are the double tungstates, ALn(WO4)2. The main feature of these tungstates is a structural disorder involving a random distribution of the ions A (alkali metals) and Ln in the crystal lattice that may influence the luminescence of the material. In literature there are several models to explain both intrinsic and extrinsic luminescence, as recombination of self-trapped excitons, MO and/or WO3 vacancies, stoichiometry deviation, other phases, oxygen at interstitial site, oxygen vacancies and M ion vacancies. As the main technology applications associated with these tungstates are such optics fiber, solid state lasers, scintillators in detectors and recently as white LEDs, it is necessary to better understand and possibly solve or dominate the many physical problems that surround them. Then, using computer simulation based on a model in
which the ions are treated as charged spheres interacting through interaction potentials which aim to minimize the lattice energy, tungstates have their perfect and defective crystal lattices simulated to try to elucidate the defect mechanism that dominates and/or contributes for luminescence and its consequences. Using static computer simulation we have as main results: a) 21 different tungstates were modeled using a single set of potential parameters taking into account the covalency of the (WO4)2- group. This covalent interaction affects the behavior of defects, where (WO4)2- groups can be directly connected by an oxygen ion at an interstitial site; b) the charge compensation for extrinsic defects is via interstitial oxygen. When codoped, the codopant ionic radius directly influences the solution energy; c) the simulated energy levels for SrWO4:Eu3+ were compared with recent experimental studies and are in agreement, pointing two different symmetries to the Eu site and d) simulation of holes and electrons in these tungstates reveals that n-type conductivity is expected.Os tungstatos tipo scheelita MWO4 vêm sendo estudados há bastante tempo devido às suas propriedades ópticas. A principal é a luminescência, tanto intrínseca quanto extrínseca (quando dopados com íons lantanídeos trivalentes, Ln3+). Outro grupo de tungstatos tipo scheelita são os duplos, ALn(WO4)2. A principal característica deste tungstatos é uma desordem estrutural, envolvendo uma distribuição aleatória dos íons A (metais alcalinos) e Ln na rede que pode influenciar a luminescência deste material. Na literatura há diversos modelos para explicar tanto a luminescência intrínseca quanto a extrínseca, como recombinação de éxcitons auto-armadilhados, vacâncias de MO e/ou WO3, desvio de estequiometria, outras fases, oxigênio em um sítio intersticial e vacâncias de oxigênio e vacâncias do íon M. Como as principais aplicações tecnológicas associadas a estes tungstatos, são como fibras ópticas, lasers do estado sólido, cintiladores em detectores e recentemente como LEDs brancos, faz-se necessário entender melhor e se possível solucionar ou dominar os diversos problemas físicos que os cercam. Então, usando simulação computacional baseada em um modelo em que os íons são considerados como esferas carregadas interagindo entre si através de potenciais de interação que visam minimizar a energia da rede, os tungstatos têm suas redes cristalinas perfeitas e defeituosas simuladas para procurar elucidar o mecanismo de defeito que domina(m) e/ou contribui(em) para a luminescência e quais suas consequências. Usando a simulação computacional estática temos como principais resultados: a) 21 tungstatos diferentes foram modelados usando um único conjunto de parâmetros dos potenciais levando em conta a covalência do grupo (WO4)2-. Esta interação covalente afeta o comportamento dos defeitos, onde grupos de (WO4)2- podem ser diretamente ligados por um íon de oxigênio em um sítio intersticial; b) a compensação de cargas para defeitos extrínsecos é via oxigênio intersticial. Quando codopados, o raio iônico do codopante influencia diretamente na energia de solução; c) os níveis de energia simulados para o SrWO4:Eu3+ e comparados com trabalhos experimentais recentes estão em acordo, apontando duas simetrias diferentes para o sítio de Eu e d) a simulação de buracos e elétrons nestes tungstatos revela que condutividade tipo n é esperada.
29
Stattner, Erick. "Contributions à l'étude des réseaux sociaux : propagation, fouille, collecte de données." Phd thesis, Université des Antilles-Guyane, 2012. http://tel.archives-ouvertes.fr/tel-00830882.
Анотація:
Le concept de réseau offre un modèle de représentation pour une grande variété d'objets et de systèmes, aussi bien naturels que sociaux, dans lesquels un ensemble d'entités homogènes ou hétérogènes interagissent entre elles. Il est aujourd'hui employé couramment pour désigner divers types de structures relationnelles. Pourtant, si chacun a une idée plus ou moins précise de ce qu'est un réseau, nous ignorons encore souvent les implications qu'ont ces structures dans de nombreux phénomènes du monde qui nous entoure. C'est par exemple le cas de processus tels que la diffusion d'une rumeur, la transmission d'une maladie, ou même l'émergence de sujets d'intérêt commun à un groupe d'individus, dans lesquels les relations que maintiennent les individus entre eux et leur nature s'avèrent souvent être les principaux facteurs déterminants l'évolution du phénomène. C'est ainsi que l'étude des réseaux est devenue l'un des domaines émergents du 21e siècle appelé la "Science des réseaux". Dans ce mémoire, nous abordons trois problèmes de la science des réseaux: le problème de la diffusion dans les réseaux sociaux, où nous nous sommes intéressés plus particulièrement à l'impact de la dynamique du réseau sur le processus de diffusion, le problème de l'analyse des réseaux sociaux, dans lequel nous avons proposé une solution pour tirer parti de l'ensemble des informations disponibles en combinant les informations sur la structure du réseau et les attributs des noeuds et le problème central de la collecte de données sociales, où nous nous sommes intéressés au cas particulier de la collecte de données en milieux sauvages.
30
Gomes, Eduardo Luis. "Arquitetura RF-Miner: uma solução para localização em ambientes internos." Universidade Tecnológica Federal do Paraná, 2017. http://repositorio.utfpr.edu.br/jspui/handle/1/2898.
Анотація:
A utilização de etiquetas RFID UHF passivas para localização indoor vem sendo amplamente estudada devido ao seu baixo custo. Porém ainda existe uma grande dificuldade em obter bons resultados, principalmente devido à variação de rádio frequência em ambientes que possuem materiais reflexivos, como por exemplo, metais e vidros. Esta pesquisa propõe uma arquitetura de localização para ambientes indoor utilizando etiquetas RFID UHF passivas e técnicas de mineração de dados. Com a aplicação da arquitetura em ambiente real foi possível identificar a posição exata de objetos com a precisão de aproximadamente cinco centímetros e em tempo real. A arquitetura se demonstrou uma eficiente alternativa para implantação de sistemas de localização indoor, além de apresentar uma técnica de derivação de atributos diretos que contribui efetivamente para os resultados finais.The use of passive UHF RFID tags for indoor location has been widely studied due to its low cost. However, there is still a great difficulty to reach good results, mainly due the radio frequency variation in environments that have materials with reflective surfaces, such as metal and glass. This research proposes a localization architecture for indoor environments using passive UHF RFID tags and data mining techniques. With the application of the architecture in real environment, it was possible to identify the exact position of objects with the precision of approximately five centimeters and in real time. The architecture has demonstrated an efficient alternative for the implantation of indoor localization systems, besides presenting a derivation technique of direct attributes that contributes effectively to the final results.
31
Thage, Rorisang Gomolemo. "A theoretical analysis of the implications of comminution practices on open pit mine planning." Diss., 2020. http://hdl.handle.net/10500/27517.
Анотація:
The implications of comminution practices on the planning of a typical open pit mine was investigated in this study by means of computer simulation. The objective was to assess the effects of mining costs as well as processing costs on the production plan of a typical open pit mine.
For the purpose of the research, MineLib, an open library of ore body models was consulted. This led to the selection of a copper-gold ore body named “Newman1” for use in the strategic mine optimisation. Various scenarios were considered in order to highlight the contribution of comminution costs to the mine plan. In all the simulated scenarios, the objective function was to maximise the Net Present Value (NPV). And in terms of simulation setup, the comminution costs and cut-off grades were systematically varied from 70 % to 140 %. It was hence possible to investigate their effects on the NPV of the Newman1 ore body using SimSched, a freeware for mine optimisation and planning.
Results showed that there is a great opportunity to increase the NPV of the Newman1 block model by adjusting the contribution of processing costs in general and comminution costs in particular. This can be achieved for instance by controlling the policy of cut-off grades, lowering production costs, and increasing throughput.Civil and Chemical Engineering
M. Tech. (Chemical Engineering)
32
Robinson, Robert Howard. "An economic model of an open pit mine." Thesis, 2015. http://hdl.handle.net/10539/18256.
33
Cheng, Hsien-Pin, and 鄭弦彬. "Computer Simulation and Parameter Analysis of a 2 Stand Hot Strip Tandem Mill." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/83302119405964830773.
Анотація:
碩士國立臺灣科技大學
工程技術研究所
81
Computer simulation and parameter analysis were studied for a 2 stand hot strip tandem mill in this paper. For simplicity, the whole system is divided into three subsystems, the mathematical model of each subsystem was first derived respectivly, and then combined to get the entire mathematical model with the aid of the relations of the rolling force, rolling torque, interstand tension, and the transportation time delay. The system was controlled via PI and PID controllers. A simulation program with 28 integrators was composed by using the SIMNON language. study was executed on a PC/AT, and the effects of parameter variations on the strip output thickness and interstand tension are also discussed.
34
Litke, Alan B. "A SLAM II computer simulation model of underground production mining." 1994. http://hdl.handle.net/1993/12154.
35
Holton, Mark Collins. "A computer programme for the simulation of water reticulation systems in gold mines." Thesis, 2015. http://hdl.handle.net/10539/16888.
Анотація:
This report investigates the application of
digital computer simulation models to the
analysis and optimization of complex mine
water reticulation systems- A simulation
program is developed and documented, Guidelines
in the construction and use of mine
water models are applied in a case study of
water quality and quantity aspects of
Unisel Gold Mine.
36
Gemmell, Graham Barry. "Estimation of the propensity of remnant underground coal pillars to spontaneously combust during opencast mining at a colliery in the Witbank coalfield." Thesis, 2017. https://hdl.handle.net/10539/25542.
Анотація:
A research report submitted to the Faculty of Engineering and the Built Environment, University of the Witwatersrand, Johannesburg, in fulfilment of the requirements for the degree of Master of Science in Engineering, 2016Spontaneous combustion of coal may occur when coal is mined, stored or transported and is influenced by a combination of intrinsic and /or extrinsic factors. While it is unusual for intact seams to burn in the highwall, the most common occurrence is when surface mines extract seams previously partially mined by underground bord and pillar operations. The aim of the study is to provide a predictive model (matrix) of the spontaneous combustion potential of remnant pillars at Colliery X. A number of different thermal, chemical and petrographic tests (coal factors) will be undertaken to determine their individual and collective impacts on the sponcom predictive model. The primary geology at the mine is conformable with that of the Witbank Coalfield. Battacharyya (1982) described 3 main factors in the spontaneous combustion of coal, mining factor, coal factor and geological factor which have an aggregate effect. Some of the main historical and present theories of sponcom are the pyrite theory, the bacterial theory, the oxidation theory and the humidity theory. It is important to note that no single factor is responsible for spontaneous combustion. The oxidation of coal occurs constantly. The temperature of the coal is a function of the rate of heat generation versus the rate of heat loss. Fires can start at outcrops and move through interconnected workings with heat transfer by conduction (into the overburden) or convection (between panels).The overburden can also insulate the burning coal seam. Geological factors such as depth of overburden, the degree of fracturing, and the nature of the overlying strata vary between coalfields. A coal seam fire or mine fire is the underground smouldering of a coal deposit, often in a coal mine. Such fires have economic, social and ecological impacts In order to extinguish a fire, one of three elements, fuel, oxygen, or energy, must be removed. The components of the fire triangle can be further subdivided into conventional mine control techniques and more or less unconventional or unproven mine fire control techniques. The thermal techniques discussed include the crossing point temperature, thermogravimetric analyses and oxygen absorption. Macerals, the microscopically identifiable organic constituents of coal, are one of the three basic parameters that define coal. The other two parameters are the coal rank and the mineral matter Vitrinite is the principal maceral group of the No.5 seam and inertinite dominates the No.2 and No.4 seams. The results obtained from the 22 drill-core samples and 2 ROM samples were matched to the existing borehole dataset (2296 boreholes) based on similarity of heat value (figure 3.11). A total of 24 test results (thermal, chemical and petrographic) from borehole A and borehole B were thus assigned to the borehole database which has approximately 1500 samples for each seam. By linking the laboratory datasets (borehole A and B) and the existing borehole database used for resource modelling, the sponcom variables could be modelled in a similar way to the coal resources. The overall risk matrix was calculated on a full seam basis by combining 15 variable scores, each variable having a score of 0, 1 or 2 (low-mod-high probability). The overall results from this research produced clear and unambiguous contour plans of different factors effecting sponcom of coal using single variable and combined variable datasets. In conclusion, it appears that the acceptability of a method for determining spontaneous heating characteristics of coal mainly depends upon how closely it predicts the spontaneous heating behaviour in the field conditions
CK2018
37
Ndhlala, Blessing. "Modelling, simulation and optimisation of a crushing plant." Diss., 2017. http://hdl.handle.net/10500/22954.
Анотація:
African copper PLC’s flagship is the copper producing Mowana mine located 129 km from Francistown in the North-Eastern part of the Republic of Botswana. The processing operation at Mowana is a standard flotation plant designed to produce copper concentrates from oxide, supergene, and sulphide ores. The expected average output of 16.2 tons per hour of copper concentrates has never been attained since plant commissioning. The major bottleneck has been established to be located around the crushing circuit of the Mowana production chain.
The major hypotheses of this research are that performance in a crushing plant is adversely influenced by moderate and discrete changes in the process. The ultimate objective is to develop a dynamic process simulator, administered in Simulink/MATLAB® background, for application in the design of a control model utilising two crusher variables and a self-tuning control algorithm.
In this research work, a process model describing the dynamic operation of an Osborn 57S gyrasphere cone crusher is investigated. Modelling of the Mowana crushing circuit is carried out by combining the steady-state and dynamic components of the crushing equipment in the Simulink/Matlab® environment. Eccentric speed (ES) and closed-side setting (CSS) are amongst the important inputs to the models. The rest of the inputs (crusher power, crusher cavity level, federate, pulley diameters, liner wear measurement, number of teeth of the pinion and bevel gear) are extracted from the data collected across the Mowana mine crushing circuit. While it has been demonstrated that the crusher CSS is the most influential controllable parameter, it has also been demonstrated that crusher capacity and power can be used effectively to optimise the circuit. The use of crushing power and cavity level control is suitable for the crushing circuit since the crushers are running on a constant ES and the CSS is set and reset manually.
The outcome of the study presents an insight into the optimization of the Mowana mine crushing circuit through the design of a self-tuning controller for the cone crusher and for prototyping, parameters of a PID controller were determined in the Simulink/MATLAB® environment. The simulation involved the optimisation of the control model as a function of the cavity level of and the power drawn by the cone crusher. A self-tuning control algorithm at PLC and SCADA level of control was then tested. This formed the simulations and training platform.
The outcome of the simulations carried out in this research needs to be validated against the real Mowana crushing process control upgrade. This will then inform the modifications and recommended crusher motor resizing exercise to be implemented.Electrical and Mining Engineering
M. Tech. (Engineering: Electrical)
38
(8771429), Ashley S. Dale. "3D OBJECT DETECTION USING VIRTUAL ENVIRONMENT ASSISTED DEEP NETWORK TRAINING." Thesis, 2021.
Анотація:
An RGBZ synthetic dataset consisting of five object classes in a variety of virtual environments and orientations was combined with a small sample of real-world image data and used to train the Mask R-CNN (MR-CNN) architecture in a variety of configurations. When the MR-CNN architecture was initialized with MS COCO weights and the heads were trained with a mix of synthetic data and real world data, F1 scores improved in four of the five classes: The average maximum F1-score of all classes and all epochs for the networks trained with synthetic data is F1∗ = 0.91, compared to F1 = 0.89 for the networks trained exclusively with real data, and the standard deviation of the maximum mean F1-score for synthetically trained networks is σ∗ F1 = 0.015, compared to σF 1 = 0.020 for the networks trained exclusively with real data. Various backgrounds in synthetic data were shown to have negligible impact on F1 scores, opening the door to abstract backgrounds and minimizing the need for intensive synthetic data fabrication. When the MR-CNN architecture was initialized with MS COCO weights and depth data was included in the training data, the net- work was shown to rely heavily on the initial convolutional input to feed features into the network, the image depth channel was shown to influence mask generation, and the image color channels were shown to influence object classification. A set of latent variables for a subset of the synthetic datatset was generated with a Variational Autoencoder then analyzed using Principle Component Analysis and Uniform Manifold Projection and Approximation (UMAP). The UMAP analysis showed no meaningful distinction between real-world and synthetic data, and a small bias towards clustering based on image background.