Дисертації з теми "Data management and data science not elsewhere classified"
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Woon, Wei Lee. "Analysis of magnetoencephalographic data as a nonlinear dynamical system." Thesis, Aston University, 2002. http://publications.aston.ac.uk/13266/.
Повний текст джерелаJiang, Feng. "Capturing event metadata in the sky : a Java-based application for receiving astronomical internet feeds : a thesis presented in partial fulfilment of the requirements for the degree of Master of Computer Science in Computer Science at Massey University, Auckland, New Zealand." Massey University, 2008. http://hdl.handle.net/10179/897.
Повний текст джерелаGales, Mathis. "Collaborative map-exploration around large table-top displays: Designing a collaboration interface for the Rapid Analytics Interactive Scenario Explorer toolkit." Thesis, Ludwig-Maximilians-University Munich, 2018. https://eprints.qut.edu.au/115909/1/Master_Thesis_Mathis_Gales_final_opt.pdf.
Повний текст джерела(7360664), Gary Lee Johns. "STEM AND DATA: INSTRUCTIONAL DECISION MAKING OF SECONDARY SCIENCE AND MATHEMATICS TEACHERS." Thesis, 2019.
Знайти повний текст джерела(10514360), Uttara Vinay Tipnis. "Data Science Approaches on Brain Connectivity: Communication Dynamics and Fingerprint Gradients." Thesis, 2021.
Знайти повний текст джерела(8802305), Tian Qi. "THE IMPACT OF DATA BREACH ON SUPPLIERS' PERFORMANCE: THE CASE OF TARGET." Thesis, 2020.
Знайти повний текст джерела(11167785), Nicolae Christophe Iovanac. "GENERATIVE, PREDICTIVE, AND REACTIVE MODELS FOR DATA SCARCE PROBLEMS IN CHEMICAL ENGINEERING." Thesis, 2021.
Знайти повний текст джерела(9868160), Wan-Eih Huang. "Image Processing, Image Analysis, and Data Science Applied to Problems in Printing and Semantic Understanding of Images Containing Fashion Items." Thesis, 2020.
Знайти повний текст джерела(8067608), Zhi Li. "COPING WITH LIMITED DATA: MACHINE-LEARNING-BASED IMAGE UNDERSTANDING APPLICATIONS TO FASHION AND INKJET IMAGERY." Thesis, 2019.
Знайти повний текст джерела(10292846), Zhipeng Deng. "RECOGNITION OF BUILDING OCCUPANT BEHAVIORS FROM INDOOR ENVIRONMENT PARAMETERS BY DATA MINING APPROACH." Thesis, 2021.
Знайти повний текст джерела(9183329), Moonsik Shin. "Essays on Product Innovation and Failures." Thesis, 2020.
Знайти повний текст джерелаIn this dissertation, I investigate how firms’ various strategic decisions lead to innovation failures. Extant research in the strategic management field has suggested that a firms’ strategic choices determine its innovation trajectories and outcomes. While previous studies predominantly have emphasized firms’ successful innovation outcomes, very little research has been conducted on the antecedents of innovation failures. Although firms’ successful innovation outcomes provide important implications in understanding the source of firms’ competitive advantages, failed innovations would provide us with critical insight about firms’ ability to survive and develop as they may result in unfavorable consequences, such as financial risks and negative impacts on firms’ reputations In this light, I examine how various strategic choices – such as interorganizational relationships, acquisitions, and internal R&D – affect firm’s innovation trajectories and failures.
In Essay 1, I explore how firms’ decision to form interorganizational relationships can affect their innovation failures. In particular, I investigate how a venture’s choice to form an investment relationship with a particular venture capitalist (VC) could determine the venture’s innovation failures. I propose that the time pressure that VCs face may elicit negative consequences for their portfolio companies’ innovation quality. In Essay 2, I examine how firms’ efforts to acquire technology and knowledge from external markets through acquisitions could affect their innovation failure rates. I suggest and find that adverse selection and post-acquisition integration problems impose substantial costs on firms pursuing acquisitions leading them to experience high rate of innovation failures. In Essay 3, I examine how firms’ efforts to develop new products incrementally affect their innovation failures. I suggest that, due to the path dependent nature of product development, when firms develop and introduce new products through an incremental approach, they may face the risk of their new products being exposed to the failure associated with the products and underlying technologies upon which the new products are built.
(11198013), Kevin Wee. "Creation, deconstruction, and evaluation of a biochemistry animation about the role of the actin cytoskeleton in cell motility." Thesis, 2021.
Знайти повний текст джерелаExternal representations (ERs) used in science education are multimodal ensembles consisting of design elements to convey educational meanings to the audience. As an example of a dynamic ER, an animation presenting its content features (i.e., scientific concepts) via varying the feature’s depiction over time. A production team invited the dissertation author to inspect their creation of a biochemistry animation about the role of the actin cytoskeleton in cell motility and the animation’s implication on learning. To address this, the author developed a four-step methodology entitled the Multimodal Variation Analysis of Dynamic External Representations (MVADER) that deconstructs the animation’s content and design to inspect how each content feature is conveyed via the animation’s design elements.
This dissertation research investigated the actin animation’s educational value and the MVADER’s utility in animation evaluation. The research design was guided by descriptive case study methodology and an integrated framework consisting of the variation theory, multimodal analysis, and visual analytics. As stated above, the animation was analyzed using MVADER. The development of the actin animation and the content features the production team members intended to convey via the animation were studied by analyzing the communication records between the members, observing the team meetings, and interviewing the members individually. Furthermore, students’ learning experiences from watching the animation were examined via semi-structured interviews coupled with post- storyboarding. Moreover, the instructions of MVADER and its applications in studying the actin animation were reviewed to determine the MVADER’s usefulness as an animation evaluation tool.
Findings of this research indicate that the three educators in the production team intended the actin animation to convey forty-three content features to the undergraduate biology students. At least 50% of the student who participated in this thesis learned thirty-five of these forty-three (> 80%) features. Evidence suggests that the animation’s effectiveness to convey its features was associated with the features’ depiction time, the number of identified design elements applied to depict the features, and the features’ variation of depiction over time.
Additionally, one-third of the student participants made similar mistakes regarding two content features after watching the actin animation: the F-actin elongation and the F-actin crosslink structure in lamellipodia. The analysis reveals the animation’s potential design flaws that might have contributed to these common misconceptions. Furthermore, two disruptors to the creation process and the educational value of the actin animation were identified: the vagueness of the learning goals and the designer’s placement of the animation’s beauty over its reach to the learning goals. The vagueness of the learning goals hampered the narration scripting process. On the other hand, the designer’s prioritization of the animation’s aesthetic led to the inclusion of a “beauty shot” in the animation that caused students’ confusion.
MVADER was used to examine the content, design, and their relationships in the actin animation at multiple aspects and granularities. The result of MVADER was compared with the students’ learning outcomes from watching the animation to identify the characteristics of content’s depiction that were constructive and disruptive to learning. These findings led to several practical recommendations to teach using the actin animation and create educational ERs.
To conclude, this dissertation discloses the connections between the creation process, the content and design, and the educational implication of a biochemistry animation. It also introduces MVADER as a novel ER analysis tool to the education research and visualization communities. MVADER can be applied in various formats of static and dynamic ERs and beyond the disciplines of biology and chemistry.
Beckett, Jason. "Forensic computing : a deterministic model for validation and verification through an ontological examination of forensic functions and processes." 2010. http://arrow.unisa.edu.au:8081/1959.8/93190.
Повний текст джерелаThesis (PhD)--University of South Australia, 2010
(9708611), Zackery Ray Roberson. "Advances in Gas Chromatography and Vacuum UV Spectroscopy: Applications to Fire Debris Analysis & Drugs of Abuse." Thesis, 2021.
Знайти повний текст джерелаThe first route was to decrease separation times for analysis of ignitable liquid residues by using micro-bore wall coated open-tubular columns. Micro-bore columns are much shorter and have higher separation efficiencies than the standard columns used in forensic chemistry, allowing for faster analysis times while maintaining the expected peak separation. Typical separation times for fire debris samples are between thirty minutes and one hour, the micro-bore columns were able to achieve equivalent performance in three minutes. The reduction in analysis time was demonstrated by analysis of ignitable liquid residues from simulated fire debris exemplars.
The second route looked at a relatively new detector for gas chromatography known as a vacuum ultraviolet (VUV) spectrophotometer. The VUV detector uses traditional UV and far-ultraviolet light to probe the pi and sigma bonds of the gas phase analytes as well as Rydberg traditions to produce spectra that are nearly unique to a compound. Thus far, the only spectra that were not discernable were from enantiomers, otherwise even diastereomers have been differentiated. The specificity attained with the VUV detector has achieved differentiation of compounds that mass spectrometry, the most common detection method for chromatography in forensic chemistry labs, has difficulty distinguishing. This specificity has been demonstrated herein by analyzing various classes of drugs of abuse and applicability to “real world” samples has been demonstrated by analysis of de-identified seized samples.
(8771429), Ashley S. Dale. "3D OBJECT DETECTION USING VIRTUAL ENVIRONMENT ASSISTED DEEP NETWORK TRAINING." Thesis, 2021.
Знайти повний текст джерелаAn 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.