Tür "conferenceObject" için listeleme
Toplam kayıt 124, listelenen: 1-20
-
Acoustic analysis and measurements of mega yachts during construction
(Royal Institution of Naval Architects, 2019)Noise is a critical parameter for super/mega yachts which can be verified only in the final stage of a mega yacht building project. Although there are more and more advanced methods to predict noise prior to the sea trials, ... -
Adaptive Multichannel Sequential Lattice Prediction Filtering Method For Cognitive Radio Spectrum Sensing in Subbands
(IEEE, 2012)A multichannel characterization for autoregressive moving average(ARMA) spectrum estimation in subbands with applications to cognitive radio spectrum sensing is considered in this presentation. The fullband ARMA spectrum ... -
Adaptive Multichannel Sequential Lattice Prediction Filtering Method for Range Estimation in Cognitive Radios
(IEEE, 2014)A range estimation method 14 cognitive MIMO-OFDM radio systems is considered in this presentation. The range estimation problem is formulated as time delay estimation problem, and then adapted as multiple channel estimation ... -
Adaptive Multiple Peak and Histogram based Reversible Data Hiding
(IEEE, 2019)The aim of this study is to propose a histogram shifting-based reversible data hiding scheme for anatomical magnetic resonance images (MRI) of human brain. In this study, a human brain MRI dataset was employed for experimental ... -
Adaptive V-BLAST Type Channel Equalizer Design for Cognitive MIMO-OFDM Radios
(IEEE, 2013)A channel shortening equalizer design for cognitive Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO-OFDM) communication systems is considered in this presentation. The proposed receiver ... -
Analysis of EEG signals by emprical mode decomposition and mutual information
(2013)Empirical mode decomposition has been recently proposed to analyze non-stationary signals. It decomposes the signal into intrinsic mode functions (IMF) which are derived from the signal itself. However, it is still an ... -
Analysis of EEG Signals by Emprical Mode Decomposition and Mutual Information
(IEEE, 2013)Empirical mode decomposition has been recently proposed to analyze non-stationary signals. It decomposes the signal into intrinsic mode functions (IMF) which are derived from the signal itself. However, it is still an ... -
Analytical comparison of different mooring systems
(Nikola Vaptsarov Naval Academy, 2017)The number of ships and ports are increasing in connection with growing transportation demand in the world each passing day. And thus the numbers of mooring operations are increasing. Mooring operations are one of the most ... -
Applying reverse engineering principles on analysis of failures occurred in ship production
(Society of Naval Architects and Marine Engineers, 2021)In the current work, a new error evaluation methodology is introduced based on error analysis in ship production with reverse engineering data. The aim is to determine the errors and prevent or reduce the occurrence in ... -
Assessment of Co-2 Measurements Based on Exergetic Approach for Low Carbon Standards in Buildings
(Springer International Publishing Ag, 2018)[No Abstract Available] -
Assessment of Energy and Environmental Performance of Low-Charge Multiplex Refrigeration System
(Springer, 2018)[No Abstract Available] -
Assessment of Enterprise Emission Inventory Considering Entropy Production for a Cement Production Line
(Springer International Publishing Ag, 2020)The cement sector, which has a high energy consumption in the industrial sector, has significant environmental pollutant potential and besides high energy costs. In the sectoral evaluations, in addition to the efficient ... -
Assessment of fiber reinforced polymers for a gilson mast structure on steel deck ships
(International Committee on Composite Materials, 2023)Assessment of fiber reinforced polymers for a gilson mast structure on steel deck ships. -
Assessment of the Environmental Performance of a Jet Engine Due to Irreversibility under Altitude Conditions
(Aeronautical & Astronautical Soc Republic China, 2021)The aviation sector carries out important studies with the awareness of its sectoral responsibility in terms of ensuring its economic sustainability as well as reducing emissions resulting from global climate change. Studies ... -
Barriers To Women'S Leadership in Maritime and the Ways To Overcome Them
(Int Center Numerical Methods Engineering, 2018)Maritime is a male-dominated sector and as in all male-dominated sectors, women working in maritime jobs face some problems deriving from not only the special nature of the jobs but also the hardships they face because of ... -
Bit Reduction based Audio Steganography Algorithm
(Institute of Electrical and Electronics Engineers Inc., 2021)Today, the development of data hiding techniques for information security or confidential communication is a subject of great demand and interest. The main purpose of most studies is to develop imperceptible hiding techniques ... -
Breast Cancer Classification by Using Support Vector Machines with Reduced Dimension
(Croatian Society Electronics Marine, 2011)Correct and timely diagnosis of diseases is an essential matter in medical field. Limited human capability and limitations decrease the rate of correct diagnosis. Machine learning algorithms such as support vector machine ... -
Combination of Approximate l(0)-Norm Regularized Multiple Adaptive Lattice Filters in Sparse Cogntive Radio Coannel Identification
(IEEE, 2020)A priori recursive least squares (RLS) lattice algorithm has been regularized by adding an approximation of 10-norm constraint penalty term to the cost function so as to introduce sparsity awareness to the prenously proposed ... -
Combination of Approximate P0-Norm Regularized Multiple Adaptive Lattice Filters in Sparse Cognitive Radio Channel Identification
(Institute of Electrical and Electronics Engineers Inc., 2020)A priori recursive least squares (RLS) lattice algorithm has been regularized by adding an approximation of ?0-norm constraint penalty term to the cost function so as to introduce sparsity awareness to the previously ...
