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 103 for “"Prediction-based"”.
-
Vehicle Lane Departure Prediction Based On Support Vector Machines
… a two-stage training scheme to improve SVM's prediction performance. Our SVMs were trained and tested using the experiment data generated by VIRTTEX, a hydraulically powered 6-degrees-of-freedom moving base driving simulator at Ford Motor Company. The data represented 16 drowsy drivers (about …
-
Power quality prediction based on determination of supply impedance
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.
-
Transient Stability Prediction based on Synchronized Phasor Measurements and Controlled Islanding
… do not work well for online transient stability predictions problems. With the advent of Phasor Measurement Units (PMUs) in power systems, it is now possible to monitor the behavior of the system in real time and provide important information for transient stability assessment and enhancement. …
-
Transit Demand Estimation And Crowding Prediction Based On Real-Time Transit Data
… a proactive Transit Demand Estimation and Prediction System (TraDEPS) – an approach that has the potential to prevent crowding and improve transit service, by measuring the transit activity (the number of passengers on the individual modes of public transportation and the demand on a …
-
Satellite Channel State Prediction based on Fade Slope and Artificial Intelligence (AI) Algorithms
… For these techniques to work, adequate channel prediction is essential. This involves generating a better predictive approach of rain attenuation, to have a reliable knowledge of the transmission channel, and hence, adaptively optimise the signal to protect against link outages, to ensure …
-
Supernumerary Robotic Limbs : task planning, execution, and prediction-based coordination with the human wearer
Full automation of repetitive and/or specialized tasks has become a preferred means to meet the needs of manufacturing industries. However, some tasks cannot be fully automated due to their complexity or the nature of the work environment. In such cases, semi-automation through human-robot …
-
A comparison of three prediction based methods of choosing the ridge regression parameter k
… variances, the length, the stability, and the prediction capabilities of the solution. An analysis called ridge regression introduced a solution to combat this deterioration (Hoerl and Kennard, 1970a). The method uses a solution biased by a parameter k. Many methods have been developed to …
-
Protein Three -Dimensional Structure: Theoretical and Computational Aspects of Structure Prediction Based on the Amino Acid Sequence
… of sizes 7 to 13 respectively and clustered them based on structural similarity. Analysis of these clustered fragments show that these adequately describe the protein structure space. In order to use this paradigm for ab initio structure prediction, we examined sequence-structure relationships in …
-
Who Said That? Towards a Machine-Prediction-Based Approach to Tursiops Truncatus Whistle Localization and Attribution in a Reverberant Dolphinarium
… most studies of dolphin calls concern group-based repertoires of whistles and other, pulse-form call types. However, studies of individual repertoires of non-signature whistles, and the phenomenon of combined signature and non-signature vocal exchanges among dolphins, are conspicuously rare …
-
Divide and recombine: Autoregressive models and STL+
… ^ The Seasonal-Trend Decomposition procedure based on loess (STL+) is used to model the CIDR series. Motivated by the CIDR series analysis, we propose a general prediction based model selection procedure, where extensive visual diagnostics are part of the procedure for selecting the best …
-
Occupant location prediction in smart buildings using association rule mining
… Due to the delayed response of HVAC systems, prediction of occupant locations is necessary to maximize energy efficiency. We present an approach to occupant location prediction based on association rule mining, allowing prediction based on historical occupant locations. Association rule mining …
-
Landsat Trophic State Assessment of Fellows Lake
… period. Models are derived for trophic state prediction based on trophic state indexes computed for chlorophyll a concentration and secchi depth measurements. Phosphorus concentration is shown to be a good trophic state predictor variable and secchi depth a poor predictor variable.
-
Energy-efficient relay cooperation for lifetime maximization
… of time-varying relay channels, we develop a prediction-based relay cooperation method for optimal power allocation strategy to improve the relay network lifetime over existing methods that do not predict the future channel state, or assume the current channel state remains static in the …
-
Studies of Dynamic Bandwidth Allocation for Real-Time VBR Video Applications
… quality and low quality. A new Virtual-Queue-Based RED-VBR is then developed to reduce the implementation complexity of RED-VBR. Simulation results show that this approach obtains a comparable network performance as RED-VBR: relatively high network utilization and a very low drop rate. A …
-
Prediction Of The Nerve Conduction Abnormalities Frequently Associated With Carpal Tunnel Syndrome From Clinical Features
… diagnosis of carpal tunnel syndrome (CTS). The prediction model combined commonly recorded clinical history, signs, and symptoms in a multivariate analysis. Electrophysiological abnormality and adjustments for the influencing variables (sex, distance, and temperature) were based on normative …
-
Real-Time Detection of Demand Manipulation Attacks on a Power Grid
… regulating a botnet of high-wattage IoT devices. Based on the time and situation of the attack, an adversary needs access to a fixed number of IoT devices to synchronously switch on/off all of them, resulting in an imbalance between the supply and demand. When the frequency of the power generators …
-
Admission Control in Sliced Networks, with Predictive Analytics
… A traffic forecasting model was implemented based on the Holt-Winters Exponential Smoothing predictive model. This forecasting model was trained using the network data from the real IP network dataset and then incorporated into the admission control process. For prediction-based admission …
-
Nuclear magnetic resonance study of quantum size effects in supported platinum particles
… at 4.2K with particle size is consistent with a prediction based on simply scaling the bulk density of states at the Fermi energy with the volume of the particles. An interpretation is proposed based on the relative sizes of the electron Zeeman energy and the level spacing of particular particles.
Page 1 of 6