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.
Results
Showing 1 to 20 of 38 for “"Data Sampling"”.
-
A Comparative Assessment of Methodologies for Solving Problems of Nonlinear Optimization in the Business Sector
… seek to provide a family of solutions. Creating data warehouses using each of exhaustive enumeration, sampling with replacement, and sampling without replacement allows for more expedient analysis. Each method was assessed in terms of time requirements and quality of solution. Aside from …
-
Low-Power Wireless Sensor Node with Edge Computing for Pig Behavior Classifications
… of sensing animal motion and transmitting motion data wirelessly, is an effective and efficient way to monitor pigs' activity. However, the raw sensor data sampling and transmission consumes lots of power such that WSNs' battery have to be frequently charged or replaced. The proposed work solves …
-
Reconfigurable Sampling for Enhanced Energy Efficiency in Power-Constrained Wireless Systems
… the research community. </p> <p>In this work, a data-driven method has been proposed and systematically investigated. Specifically, this technique reconfigures, in real time, the rate of data sampling based on the information content of the data acquired in the preceding step. Through this …
-
Comparative analysis of nitrate load estimation techniques in watersheds with different land-use characteristics
… The challenge is to determine the optimal data sampling frequency and the best method for the estimation of nutrient concentrations that minimizes the uncertainty caused by data and modeling errors in the estimated data. For that purpose, researchers have used various regression models such …
-
An oscillating hot wire for measurements in separated flows
… taken at a discrete number of chord locations. Data sampling is computer regulated using a trigger pulse from an exterior source. A distance proximity probe gives the distance of the hot-wire probe from the model. Series of mean-velocity profiles over an airfoil are measured for R<sub>C</sub> …
-
NONUNIFORMLY AND RANDOMLY SAMPLED SYSTEMS
<p>Problems with missing data, sampling irregularities and randomly sampled systems are the topics covered by this dissertation.</p><p>The spectral analysis of a series of periodically repeated sampling patterns is developed. Parameter estimation of autoregressive moving average models using …
-
The role of binary stars in searches for extrasolar planets by microlensing and astrometry
… single lens light curve, in particullary if the data sampling is poor and the errorbars are large. We investigate what fraction of microlensing events produced by binary stars for different separations may be well fitted by and hence misinterpreted as single lens events for various observational …
-
Spatiotemporal Encoding Methods for Brain Magnetic Resonance Imaging
… high-dimensional space together with efficient data sampling schemes allow better use of radio-frequency pulse, modern receiver coil arrays and shared data correlation. The high imaging efficiency provided by these spatiotemporal acquisition methods was demonstrated to help overcome several …
-
Advancement of waste management strategies in developing nations (Costa Rica).
… in developed nations. Commonly accepted data sampling methods and approaches to waste management may have to be modified extensively to suit an area's unique characteristics. This thesis proposes a waste sampling protocol and a waste management strategy appropriate for developing nations. …
-
Synthetic Data Generation and Sampling for Online Training of DNN in Manufacturing Supervised Learning Problems
… of Industrial Internet offers abundant passive data from manufacturing systems and networks, which enables data-driven modeling with high-data-demand, advanced statistical models such as Deep Neural Networks (DNNs). Deep Neural Networks (DNNs) have proven to be remarkably effective in supervised …
-
Meeting the oxygen requirements of an isolated perfused rat liver
… and the greater the clinical relevance of the data obtained. Currently, a major limiting factor in achieving such a design is the absence of organ-specific in vivo data to standardize, evaluate and optimize the state of perfused livers. Oxygen uptake rate, the primary indicator of organ …
-
How negative sampling provides class balance to rare event case data using a vehicular accident prediction project as a use case scenario
Rare event case data occur at such an infrequent rate that even having high amounts of it can leave researchers starving for more information. There has always existed a tug and pull relationship among rare event case data, where a higher count of entries often leads to a lack of explanatory …
-
Automatic fall risk detection based on imbalanced data
… algorithm to detect fall risks. Since fall data is rare in real-world situations, we train and evaluate our approach in a highly imbalanced data setting. We assess not only different imbalanced data handling methods, but also different machine learning algorithms. After oversampling on our …
-
Interactive Learning Modules for the Reproductive Health Assessment Toolkit for Conflict-Affected Women
… Women: an introduction, a guide to basic sampling procedures, and a guide to effective data use.</p>
-
Statistical Evaluation of Deep Learning for Event Detection in Time Series: Quantifying Uncertainty, Efficiency, and Adaptation with Applications to Seismic Data
… a few performance metrics computed on benchmark datasets, which ignores important questions about how predictive performance varies with data availability, how uncertainty is communicated in both predictions and aggregate metrics, and how shifting data distributions impact model reliability. …
-
Rethinking the Labour-Intensive Sector: The Case of Extended Public Works Programme Employment between 2004 - 2017, in Capricorn District Municipality, Limpopo Province
… and content analysis to explore the collected data. The research design dealt with the total plan of how the study would be undertaken from beginning to end. Purposive sampling procedure was adopted for the purpose of data sampling wherein EPWP project beneficiaries were purposefully sampled …
-
Assessment of Corporate Social Responsibility in Tanzania Limited Companies: A case of Tanzania Portland Cement Company in Wazo Area
… research approaches in gathering and analyzing data. Sampling techniques included simple random and strafed random. The sample for study constituted 50 respondents, fifteen workers of TPCC and thirty five citizens of Wazo Ward. Data collection methods were interviews, questionnaires and …
-
Variability Structure Estimation: The Role of Sample Support
… accurately estimate the point variogram due to sampling costs and limited resources, thus we aim to maximize the relative information in our data sampling efforts. The work presented in this document shows in detail the development of a methodology to estimate the point variogram using different …
-
Variability structure estimation: The role of sample support
… accurately estimate the point variogram due to sampling costs and limited resources, thus we aim to maximize the relative information in our data sampling efforts. The work presented in this document shows in detail the development of a methodology to estimate the point variogram using different …
-
PCBleed: Fuzzing for CPU Bugs Through Use of Performance Counters
… by instances such as Spectre, Microarchitectural Data Sampling, and Zenbleed. The inherent permanence of hardware vulnerabilities poses a significant threat, making early identification crucial for preventing security compromises once a device is manufactured. However, identifying hardware …
Page 1 of 2