Browsing College of Engineering (CEN) by Title
Now showing items 7-26 of 388
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Alkyl Monolayers on Silica Surfaces Prepared from Neat, Heated ClSi(CH₃)₂(CH₂)₆CH=CH₂ Analyzed by XPS
(American Vacuum Society, 2002)Silane monolayers on silica, prepared from mono-, di-, and trichlorosilanes, are widely used in industry for surface functionalization and modification. However, unlike di-and trichlorosilanes, monochlorosilanes are ... -
Alkyl Monolayers on Silica Surfaces Prepared Using Neat, Heated Dimethylmonochlorosilanes with Low Vapor Pressures
(American Chemical Society, 2003) -
Altering Split Decisions of Coding Units for Message Embedding in HEVC
(Springer, 2017-05)This paper proposes a novel message embedding solution based on modifying the split decisions of HEVC videos. The encoder starts by computing a mapping between the split decisions of a Coding Unit (CU) and its features ... -
Analysis of 10,16-Diaza-1,4,7,13-tetrathiacyclooctane-9,17-dione by XPS
(American Vacuum Society, 2004)10,16-Diaza-1,4,7,13-tetrathiacyclooctane-9,17-dione is important for its use as a fluorophoric metal detector. XPS was used to analyze the compound. The compound was mounted on a silicon plate using sticky tape. -
Analysis of 5-chloro-8-methoxy-2-(bromomethyl)quinoline by XPS
(American Vacuum Society, 2004)Macrocyclic ethers are used extensively for their ability to form strong and selective interactions with charged species. It has been shown that the incorporation of heterocyclic groups into macrocylclic ethers increase ... -
Analysis of 7,13-Bis((8-hydroxy-2-quinolinyl)methyl)-1,4-dimethyl-1,4,7,13-tetraaza-10-thiacyclopentadecane by XPS
(American Vacuum Society, 2004)Highly toxic metals abound in the environment as a result of pollution. Macrocyclic ligands have been designed that are selective in binding certain toxic metals. This allows for a sensitive means of detecting these poisonous ... -
Analysis of Grain Screenings by X-ray Photoelectron Spectroscopy
(American Vacuum Society, 2005)Determining the chemical structure and composition of biomass fuels using x-ray photoelectron spectroscopy (XPS) can provide fundamental knowledge of their structures that is useful in understanding and predicting their ... -
Analysis of Sawdust by X-ray Photoelectron Spectroscopy
(American Vacuum Society, 2005)Determining the chemical structure and composition of biomass fuels using x-ray photoelectron spectroscopy (XPS) can provide fundamental knowledge of their structures that is useful in understanding and predicting their ... -
Analysis of Shea Nut Shells by X-ray Photoelectron Spectroscopy
(American Vacuum Society, 2005)Determining the chemical structure and composition of biomass fuels using x-ray photoelectron spectroscopy (XPS) can provide fundamental knowledge of their structures that is useful in understanding and predicting their ... -
Analysis of Straw by X-ray Photoelectron Spectroscopy
(American Vacuum Society, 2004)Determining the chemical structure and composition of biomass fuels using x-ray photoelectron spectroscopy (XPS) can provide fundamental knowledge of their structures that is useful in understanding and predicting their ... -
Analysis of Sugar Beet Pulp by X-ray Photoelectron Spectroscopy
(American Vacuum Society, 2005)Determining the chemical structure and composition of biomass fuels using x-ray photoelectron spectroscopy (XPS) can provide fundamental knowledge of their structures that is useful in understanding and predicting their ... -
Analysis of Sunflower Shells by X-ray Photoelectron Spectroscopy
(American Vacuum Society, 2005)Determining the chemical structure and composition of biomass fuels using x-ray photoelectron spectroscopy (XPS) can provide fundamental knowledge of their structures that is useful in understanding and predicting their ... -
Analyzing Sensitivity Measures Using Moment-Matching Technique
(Elsevier, 2017-03)Sensitivity indices are used to rank the importance of input design variables or components by estimating the degree of uncertainty of output variable influenced by the uncertainty generated from input variables or components. ... -
Android mobile app for real-time bilateral Arabic sign language translation using leap motion controller
(IEEE, 2017)This paper introduces an android mobile App for real-time bilateral Arabic sign language translation. The system is designed to operate on isolated sign language words. The mobile App has four main components; sign language ... -
Anti-cancer Drug Delivery Using Metal Organic Frameworks (MOFs)
(Bentham Science Publishers, 2017)Cancer is the uncontrolled growth of cells in the body and is considered as one of the major causes of death globally. There are several cytotoxic chemotherapeutic agents used to treat cancer including methotrexate, ... -
Assessing test suites of extended finite state machines against model and code based faults
(John Wiley & Sons, 2021)Tests can be derived from extended finite state machine (EFSM) specifications considering the coverage of single-transfer faults, all transitions using a transition tour, all-uses, edge-pair, and prime path with side trip. ... -
Assessing the Impact of Reactive Power Droop on Inverter Based Microgrid Stability
(IEEE, 2021-01)Droop control is the most common approach for controlling inverter-based micro-grids. The active power droop gain has always been considered as the main parameter for identifying the micro-grid stability margin. Increasing ... -
Balun LNA Thermal Noise Analysis and Balancing With Common-Source Degeneration Resistor
(IEEE, 2020)The Balun low noise amplifier (LNA) is an LNA that exploits a combination of a common-source (CS) and a common-gate (CG) transistors, which cancels the noise and distortion of the CG stage. And since the CG is known to be ... -
Battery Energy Management Techniques for an Electric Vehicle Traction System
(IEEE Access, 2022)This paper presents two battery energy management (BEM) techniques for an electric vehicle (EV) traction system which incorporates an indirect field-oriented (IFO) induction motor (IM) drive system. The main objective of ... -
Behavioral Modeling of GaN Doherty Power Amplifiers Using Memoryless Polar Domain Functions and Deep Neural Networks
(IEEE, 2020)In this paper, novel Doherty Power Amplifier (DPA) models are presented. The motivation behind the proposed models is to accurately predict static nonlinearities in the compression regions of the carrier and peaking ...
