Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 86 for “"large database"”.
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Large-scale database modeling: Extended Er diagrams and Uml
… is concerned with the team efforts to develop a large database to track medical information. An Extended Entity Relationship diagram is developed using UML notation to describe the design of the database. Special attention was given for features of EER diagram which can not easily be represented …
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Large-scale database modeling: Discovering attributes, entities, and relationships
… is concerned with the team efforts to develop a, large database to track medical information. Entity relational model approach is taken to study an extensive set of forms for structure discovery. This approach has led to thousands of attributes and hundreds of entities and relationships. A …
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Large-scale database modeling: Developing XML schema
… is concerned with the team efforts to develop a large database to track medical information. A large XML schema is developed from the Extended ER diagram to capture key and foreign key constraints. The strong types of XML schema were also used to assert patterns and domain constraints. These …
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Assessing and Improving Garbage Collection Performance in the Julia Programming Language
… ranging from differential equation solvers to large database benchmarks. There have been several GC optimizations (such as the implementation of a generational collector) targeting the Julia GC over the last decade, but none of them was in the direction of a multithreaded GC. This thesis …
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Query-by-example for motion capture data
… We present a method for indexing and searching a large database of motion capture clips that allows for fast insertion and query-by-example. Over time, more motions can be added to the index, incrementally increasing its value. The result is a tool that reduces the amount of time spent gathering …
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Iris imaging for health diagnostics
… server. With this platform, we hope to build a large database of standard iris images with labeled medical data and facilitate studies of iris diagnostics. In our implementation, the feature extraction and classification tools built are applied to predict diabetes, through a study conducted in …
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Fast checkpoint and recovery techniques for an in-memory database
Multicore in-memory databases for modern machines can support extraordinarily high transaction rates for online transaction processing workloads. A potential weakness of such databases, however, is recovery from crash failures. We show that techniques for disk-based persistence can be ecient enough …
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FlexGP : a scalable system for factored learning in the cloud
… is run on a real-world regression problem from a large database. The results demonstrate the reliability and robustness of the system, even when learning from very little training data and multiple factorings, and demonstrate FlexGP as a vital tool to effectively leverage the cloud for machine …
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Elastic buckling solutions for thin-walled metal columns with perforation patterns
… in eigen-buckling analyses and validated using a large database of finite element rack-type columns with perforation patterns. The influence of perforations is accounted by reduced thicknesses related to the plate buckling coefficient and transverse web rotational stiffness in the prediction of …
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Neural Network Models for Generating Synthetic Flight Data
… applications. However, procuring a sufficiently large database of flight test data poses several challenges. Nominal flight tests can be expensive and time-consuming and require much post-processing depending on the availability of sensors and the quality of the sensor output. Flight test …
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Fuzzy inference systems for iris biometrics to reduce search time in large databases
… a user's iris image against those in a very large database. One method to reduce search time is to predict an individual's ethnicity and then only search iris templates belonging to that particular ethnicity in the database. By limiting the search to a small subsection of the database, as …
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Image database retrieval with multiple-instance learning techniques
… an approach to retrieving images from an image database based on content similarity. First, each picture is divided into many overlapping regions. For each region, the sub-picture is filtered and converted into a feature vector. In this way, each picture is represented by a number of different …
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A Motion Graph Approach for Interactive 3D Animation using Low-cost Sensors
… sequence of motions from a structured database of human motions, namely \emph{motion graph}. Our local search algorithm utilizes noise prone and rapidly varying input sensor signals for querying a large database in real-time. The ability to waive the controllers for producing high …
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Integrating the LaModel and ARMPS Programs (ARMPS-LAM)
… in the U.S. coal fields. In a recent deep-cover database analysis, LaModel was found to more accurately classify a small deep-cover database than ARMPS. However, the LaModel analysis of each case study required several days to complete, as compared to a requirement of only several minutes for …
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Image Retrieval using Landmark Indexing for Indoor Navigation
… for real-time retrieval of images from a large database of overlapping images of an indoor environment. The procedure extracts visual features from images using selected computer vision techniques, and processes the extracted features to create a reduced list of features annotated with the …
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Free text phrase encoding and information extraction from medical notes
… for Computational Physiology is collecting a large database of patient signals and clinical data from critically ill patients in hospital intensive care units (ICUs). The data will be used as a research resource to support the development of an advanced patient monitoring system for ICUs. …
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Comparative analysis of image search algorithm using average RGB, local color histogram, global color histogram and color moment HSV
Image retrieval forms a major problem when a large database is considered. Content Base Image Retrieval (CBIR) makes use of the available visual features of the image and helps in retrieving similar image as that of the query image. In the CBIR method, each image stored in the database has its …
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Learning task-specific similarity
… and, importantly, to efficiently search a very large database for examples similar to a query. This approach is tested on a set of standard machine learning benchmark problems. The model of similarity learned with our algorithm provides and improvement over standard example-based classification …
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Characterization of intravenous medication administration in an intensive care unit
… medication dose was extracted from MIMIC II, a large database containing real patient data; this information was used to characterize the use of twelve hemodynamic drugs. Characterization was performed by extracting features such as maximum dose and overall shape from each trend plot. …
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A MODEL FOR THE INCLUSION OF SPIRITUALITY IN SUPERVISION
… Existing literature was explored using a large database search engine. Literature that pertained to the inclusion of spirituality in supervision was reviewed and existing models that provided guidelines for the inclusion of spirituality in supervision were summarized to create a model for …
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