Search Results - "Shannon entropy"
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Urban expansion assessment by using remotely sensed data and the relative Shannon entropy model in GIS: a case study of Tripoli, Libya
Published 2015“…Shannon's entropy model was implemented to analyze and assess urban expansion trends as a process and pattern in the study area. …”
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Knowledge transfer: An information theory perspective
Published 2017“…This paper proposes a theoretical model of KT that explains organizations' choice of KT mechanisms in terms of the tacitness of knowledge being shared and the corresponding information content. Shannon's entropy, an information theoretical concept, has been used to define the constructs of tacitness and information content and explain their influence on the choice of the corresponding KT mechanisms. …”
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Monitoring and assessment of urban growth patterns using spatio-temporal built-up area analysis
Published 2018“…The concentric circles approach was used to measure the compactness and dispersion of built-up area by employing Shannon's Entropy method. The spatial directions approach was also utilised to measure the sustainability and speed of development, while the gradient approach was used to measure urban dynamics by employing landscape matrices. …”
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The B-coder: an improved binary arithmetic coder and probability estimator
Published 2006“…We show that the approximation used in the B-coder has an efficiency cost of 0.003 compared to Shannon entropy. At the heart of the B-coder is an efficient state machine that adapts rapidly to the data to be coded. …”
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Automatic detection of marine mammals using information entropy
Published 2008“…Even though therehas been previous research on optimizing automatic detectors for specific calls or specific species,the detection of any type of call by a diversity of marine mammal species still poses quite achallenge—and one that is faced more frequently as the scope of passive acoustic monitoring studiesand the amount of data collected increase. Information Shannon entropy measures the amount ofinformation in a signal. …”
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Identification of de-bonding between steel bars and concrete using wavelet techniques: Comparative study
Published 2013“…This paper uses the wavelet transform combined with the wavelet packet decomposition, component energy and Shannon entropy to analyze the experimental results. The results demonstrate that both damage index and relative entropy are sensitive to the existence of de-bonding damage and change linearly with de-bonding length when there is only a single de-bonding damage, while energy and entropy distribution are largely influenced by the property of the excitation signal. …”
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A model for the performance monitoring and evaluation of organizations to migrate to the cloud based on system approach / Jalal Sarabadani and Ayoub Mohammadian.
Published 2015“…This paper aims to assess the performance of cloud computing from the business perspective, when the organizations want to migrate to the cloud environment.In this paper, the criteria related to performance evaluation are extracted by a system approach, based on content analysis and Shannon entropy research methods. The results show that financial, technological, operational and strategic outcomes are important parameters for strategists to plan for migrating to the cloud environment.…”
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Regional development disparities in Malaysia
Published 2010“…The paper proposes a new methodology that includes TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and Shannon entropy for first time in terms of ranking in this field. …”
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Effectiveness of enhanced tight finite scheme in quantum key distribution protocol for network communication
Published 2014“…Using BB84 protocol as a base in quantum key distribution together with the implementation of tight finite key that compress the Shannon entropy and Von Neumann theory. Our multiparty system would be a new area of authentication. …”
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Spatio-temporal Analysis of Urban and Population Growths in Tripoli using Remotely Sensed Data and GIS.
Published 2013“…Then, the population data and urban extents data were coupled to perform the analysis. Additionally, Shannon's entropy technique was used for further assessment of urban growth. …”
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Novel Methods for Stress Features Identification using EEG Signals
Published 2011“…This paper introduces new methods to extract stress features from electroencephalogram (EEG) signals during two cognitive states; Closed-Eyes (CE) and Open-Eyes (OE) using Relative Energy Ratio (RER), Shannon Entropy (SE) and Spectral Centroids (SC). The group with the stress features was identified and classified using k-Nearest Neighbor (k-NN). …”
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Development of EEG-based stress index
Published 2012“…Energy Spectral Density (ESD) ratios and Spectral Centroids (SC) from the two tasks were calculated and selected as input features to k-Nearest Neighbor (k-NN) classifier. Shannon's Entropy (SE) was used to detect and quantify the distribution of ESD due to stressors (stress factors). …”
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DDoS detection using active and idle features of revised CICFlowMeter and statistical approaches
Published 2022“…The idle and active based feature of Shannon entropy and sequential probability ratio test (SE-SPRT) approach was implemented in this research. …”
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Power quality events analysis using wavelet transform
Published 2012“…In 1-D WPT, four (4) types of wavelets with Shannon entropy based are applied and aim to determine the most appropriate mother wavelet for better compression and analyzed the recorded data of PQ event. …”
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Geohazards susceptibility assessment along the upper indus basin using four machine learning and statistical models
Published 2021“…This study assessed geohazards (landslides and debris flows) and developed susceptibility maps by considering four standalone machine-learning and statistical approaches, namely, Logistic Regression (LR), Shannon Entropy (SE),Weights-of-Evidence (WoE), and Frequency Ratio (FR) models. …”
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Six decades of urban growth using remote sensing and GIS in the city of Bandar Abbas, Iran
Published 2014“…Growth was calculated through Shannon's entropy model. The urbanized area increased from 403.77 ha to 4959.59 ha from 1956 to 2012, a rate almost five times that of the population growth observed in the same period. …”
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Card-flipping decision-making technique for handover skipping and access point assignment: a novel approach for hybrid lifi networks
Published 2024“…The determination of weights in the AHP included conducting numerous investigations, such as evaluating the consistency ratio (CR) and calculating the AHP consensus indicator using the rank-based maximum likelihood method (RGMM) and Shannon entropy techniques. The investigation demonstrates improvements in total system efficiency in terms of computational complexity and HO rates when compared to both standard approaches and benchmark techniques. …”
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Conceptual design and life cycle assessment of natural fibre-reinforced biopolymer composites takeout food container using concurrent engineering
Published 2021“…The method applied was Shannon's entropy integrated with AHP and Experts Choice software. …”
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Broken rotor bar fault detection in line start-permanent magnet synchronous motor
Published 2016“…In the time-frequency domain analysis, Log Energy Entropy feature has satisfactory performances for broken rotor bar detection compare to Shannon Entropy feature. The result also presents that the most effective sub-band frequency is Detail of level 7 that includes the frequency band ranges of [39.06-19.53]Hz. …”
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A multicriteria decision-making framework for access point selection in hybrid LiFi/WiFi networks using integrated AHP-VIKOR technique
Published 2023“…Determining the weights in the AHP process considered various investigations, including the consistency ratio (CR) and the AHP consensus indicator, which is calculated using the rank-based maximum likelihood method (RGMM) and Shannon entropy techniques. The VIekriteri-Jumsko KOmpromisno Rangiranje (VIKOR) method is adopted in the selection of the optimal AP for the proper selection of whether a LiFi or WiFi AP must serve the users. …”
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