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Articles 1 - 6 of 6
Full-Text Articles in Engineering
Integrating Multi-Source Weather Data For Deep Learning, Haidar A. Alanbari Mr
Integrating Multi-Source Weather Data For Deep Learning, Haidar A. Alanbari Mr
Dissertations and Theses
Big Data has been playing a major role in the domain of Deep Learning applications as many companies and institutions continue to find solutions and extract certain trends in fields of climate change, weather forecasting and meteorology. This project extracts weather events data from multiple data sources that are supported by National Centers for Environmental information (NCEI) [1] and Amazon Web Services (AWS) [2]. Data sources include Next-Generation NEXRAD [3] Doppler radar reflectivity, GOES-16 [4] multi-channel satellite imagery and NCEI [1] storm events. Then, it integrates and refines data in proper formats to be fed to the open-source Detectron [5] …
System-Wide Performance Analysis For Virtualization, Deron Eugene Jensen
System-Wide Performance Analysis For Virtualization, Deron Eugene Jensen
Dissertations and Theses
With the current trend in cloud computing and virtualization, more organizations are moving their systems from a physical host to a virtual server.
Although this can significantly reduce hardware, power, and administration costs, it can increase the cost of analyzing performance problems. With virtualization, there is an initial performance overhead, and as more virtual machines are added to a physical host the interference increases between various guest machines. When this interference occurs, a virtualized guest application may not perform as expected. There is little or no information to the virtual OS about the interference, and the current performance tools in …
Ranked Similarity Search Of Scientific Datasets: An Information Retrieval Approach, Veronika Margaret Megler
Ranked Similarity Search Of Scientific Datasets: An Information Retrieval Approach, Veronika Margaret Megler
Dissertations and Theses
In the past decade, the amount of scientific data collected and generated by scientists has grown dramatically. This growth has intensified an existing problem: in large archives consisting of datasets stored in many files, formats and locations, how can scientists find data relevant to their research interests? We approach this problem in a new way: by adapting Information Retrieval techniques, developed for searching text documents, into the world of (primarily numeric) scientific data. We propose an approach that uses a blend of automated and curated methods to extract metadata from large repositories of scientific data. We then perform searches over …
A Quantitative Analysis Of Memory Controller Page Policies, Matthew Blackmore
A Quantitative Analysis Of Memory Controller Page Policies, Matthew Blackmore
Dissertations and Theses
Two common goals in computing system design are increasing performance and decreasing power consumption. DRAM-based memory subsystems are a major component of both system performance and power consumption. Memory controllers employ strategies to efficiently schedule DRAM operations to reduce latency and to utilize DRAM low power modes when possible. One of the most important of these is the page policy, which determines when to close pages in DRAM. An effective DRAM memory controller page policy is important to minimizing power consumption and increasing system performance. This thesis explores the impact memory controller page policy has on performance as measured by …
Entropy Reduction Of English Text Using Variable Length Grouping, Vincent Norman Ast Jr.
Entropy Reduction Of English Text Using Variable Length Grouping, Vincent Norman Ast Jr.
Dissertations and Theses
It is known that the entropy of English text can be reduced by arranging the text into groups of two or more letters each. The higher the order of the grouping the greater is the entropy reduction. Using this principle in a computer text compressing system brings about difficulties, however, because the number of entries required in the translation table increases exponentially with group size. This experiment examined the possibility of using a translation table containing only selected entries of all group sizes with the expectation of obtaining a substantial entropy reduction with a relatively small table.
An expression was …
Saddas; A Self-Contained Analog To Digital Data Acquisition System., Walter Anton Petersen
Saddas; A Self-Contained Analog To Digital Data Acquisition System., Walter Anton Petersen
Dissertations and Theses
SADDAS, a. Self-contained Analog to Digital Data Acquisition System, converts analog voltage inputs to formatted BCD (binary coded decimal digital magnetic tape. SADDAS consists of a 16 channel multiplexer, a 17 bit (4 digits + sign) 40 microsecond analog to digital converter, a 512 byte 8 bit core memory, a 30 IPS (inches per second) digital tape recorder at a density of 556 cpi (characters per inch), and a controller which integrates these instruments into a flexible and easy-to-use system. Sampling rates in excess of 360 samples per second may be used when converting seven channels of data, such as …