scholarly journals Securing speech signals by watermarking binary images in the wavelet domain

2020 ◽  
Vol 18 (2) ◽  
pp. 1096
Author(s):  
Rakan Saadallah Rashid ◽  
Jafar Ramadhan Mohammed
Keyword(s):  
Wavelet Transforms ◽  
Original Data ◽  
Audio Watermarking ◽  
Transform Domain ◽  
Audio Signals ◽  
Binary Images ◽  
Digital Audio Watermarking ◽  
Copyright Violation ◽  
Transform Domains

<span>Digital watermarking is the process of embedding particular information into other signal data in such a way that the quality of the original data is maintained and secured. Watermarking can be performed on images, videos, texts, or audio to protect them from copyright violation. Among all of these types of watermarking, audio watermarking techniques are gaining more interest and becoming more challenging because the quality of such signals is highly affected by the watermarked code. This paper introduces some efficient approaches that have capability to maintain the signals’ quality and preserves the important features of the audio signals. Moreover, the proposed digital audio watermarking approaches are performed in the transform domain. These approaches are gaining more attention due to their robustness or resistance to the attackers. These transform domains include discrete cosine transform (DCT), short-term Fourier transform (STFT), and digital wavelet transform (DWT). Furthermore, the most digital wavelet transforms were found to be applicable for speech watermarking are the Haar and the Daubechies-4. </span>

Audio Watermarking Based on Hybrid Low and High Wavelet Frequencies

2016 ◽  
Vol 5 (1) ◽  
pp. 28
Author(s):  
Aree Ali Mohammed
Keyword(s):  
Time Domain ◽  
Wavelet Transformation ◽  
Signal To Noise Ratio ◽  
Audio Watermarking ◽  
Discrete Wavelet ◽  
Transform Domain ◽  
Digital Audio ◽  
Test Results ◽  
Digital Audio Watermarking ◽  
Over Time

Transform-domain digital audio watermarking has a performance advantage over time-domain watermarking by virtue of the fact that frequency  transforms offer better exploitation of the human auditory system (HAS). In this research paper an adaptive audio watermarking is proposed based on the low and high wavelet frequencies band (LF, HF). The embedded watermark can be of any types of signal (text, audio and image). The insertion of the watermark data is performing in a frequency domain after applying discrete wavelet transformation on the cover audio segments. The normalize correlation and the signal to noise ratio metrics are used to test the performance of the proposed method in terms of the robustness and imperceptibility. Test results show that an improvement of the robustness against some type of attacks when the watermark is adaptively embedded in a different wavelet bands.

Time-Frequency Analysis of Digital Audio Watermarking

2008 ◽  
pp. 187-204 ◽  
Author(s):  
Sridhar Krishnan ◽  
Behnaz Ghoraani
Keyword(s):  
Digital Rights Management ◽  
Audio Watermarking ◽  
Digital Audio ◽  
Audio Signals ◽  
Time Frequency ◽  
Digital Multimedia ◽  
Digital Audio Watermarking ◽  
Data Authentication ◽  
Common Signal

In this book chapter, we present an overview of our time-frequency (TF) based audio watermarking methods. First, a motivation on the necessity of data authentication, and an introduction in Digital Rights Management (DRM) to protect digital multimedia contents is presented. TF techniques provide flexible means to analyze non-stationary audio signals. We have explained the joint TF domain for watermark representation, and have employed pattern recognition schemes for watermark detection. In this chapter; we introduce two watermarking methods; embedding non-linear and linear TF signatures as watermarking signatures. Robustness of the proposed methods against common signal manipulations is also studied in this chapter.

Audio Watermarking Through Parametric Synthesis Models

2008 ◽  
pp. 50-81
Author(s):  
Yi-Wen Liu
Keyword(s):  
Binary Data ◽  
Linear Process ◽  
Audio Watermarking ◽  
Digital Audio ◽  
Audio Signals ◽  
Parametric Synthesis ◽  
Digital Audio Watermarking ◽  
Grid Points ◽  
Sound Source Segregation

This chapter promotes the use of parametric synthesis models in digital audio watermarking. It argues that, because human auditory perception is not a linear process, the optimal hiding of binary data in digital audio signals should consider parametric transforms that are generally nonlinear. To support this argument, an audio watermarking algorithm based on aligning frequencies of spectral peaks to grid points is presented as a case study; its robustness is evaluated and benefits are discussed. Toward the end, research directions are suggested, including watermark-aided sound source segregation, cocktail watermarking, and counter-measure against arithmetic collusive attacks.

scholarly journals A Multi-Level Robust and Perceptually Transparent Blind Audio Watermarking Scheme Using Wavelets

2015 ◽  
Vol 39 (4) ◽  
pp. 529-539 ◽  
Author(s):  
Farooq Husain ◽  
Omar Farooq ◽  
Ekram Khan
Keyword(s):  
Audio Watermarking ◽  
Digital Audio ◽  
Audio Signals ◽  
Blind Audio Watermarking ◽  
Single Level ◽  
Digital Audio Watermarking ◽  
Perceptual Evaluation ◽  
Payload Capacity ◽  
Multi Level ◽  
Watermarking Scheme

Abstract In this paper, a robust and perceptually transparent single-level and multi-level blind audio watermarking scheme using wavelets is proposed. A randomly generated binary sequence is used as a watermark, and wavelet function coding is used to embed the watermark sequence in audio signals. Multi-level watermarking is used to enhance payload capacity and can be used for a different level of security. The robustness of the scheme is evaluated by applying different attacks such as filtering, sampling rate alteration, compression, noise addition, amplitude scaling, and cropping. The simulation results obtained show that the proposed watermarking scheme is resilient to various attacks except cropping. Perceptual transparency of watermark is measured by using Perceptual Evaluation of Audio Quality (PEAQ) basic model of ITU-R (PEAQ ITU-R BS.1387) on Speech Quality Assessing Material (SQAM) given by European Broadcasting Union (EBU). Average Objective Difference Grade (ODG) measured for this method is -0.067 and -0.080 for single-level and multi-level watermarked audio signals, respectively. In the proposed single-level digital audio watermarking scheme, the payload capacity is increased by 19.05% as compared to the single-level Chirp-Based Digital Audio Watermarking (CB-DAWM) scheme.

Sustainability Failure in the Antimicrobial Stewardship Program in a Secondary Care Hospital from Cuba: A Historical Review of 30 Years and 3 Shots

2020 ◽  
Vol 18 ◽  
Author(s):  
Humberto Guanche Garcell ◽  
Juan José Pisonero Socias ◽  
Gilberto Pardo Gómez
Keyword(s):  
Antimicrobial Stewardship ◽  
Historical Review ◽  
Original Data ◽  
Care Hospital ◽  
Antimicrobial Stewardship Program ◽  
Continuous Quality ◽  
Stewardship Program ◽  
History Of ◽  
Health Organization

Background: During the last 30 years an antimicrobial stewardship program (ASP) was implemented in a facility with periods of weakness. We aim to describe the history of the sustainability failure in the local ASP. Methods: A historical review was conducted using original data from the facility library and papers published. An analysis of factors related to the failure was conducted based on the Doyle approach. Results: The first ASP was implemented from 1989 to 1996 based on the international experiences and contributes to the improvement in the quality of prescription, reduction of 52% in cost and in the incidence of nosocomial infection. The second program restarts in 2008 and decline in 2015, while the third program was guided by the Pan-American Health Organization from 2019. This program, in progress, is more comprehensive than previous ones and introduced as a novel measure the monitoring of antibiotic prophylaxis in surgery. The factors related to the sustainability were considered including the availability of antimicrobials, the leader´s support, safety culture, and infrastructure. Conclusions: The history behind thirty years of experiences in antimicrobial stewardship programs has allowed us to identify the gaps that require proactive strategies and actions to achieve sustainability and continuous quality improvement.

scholarly journals Image Denoising Using Discrete Wavelet Transform : A Theoretical Framework

2018 ◽  
Vol 7 (2.16) ◽  
pp. 120
Author(s):  
Praveen Bhargava ◽  
Shruti Choubey ◽  
Rakesh Kumar Bhujade ◽  
Nilesh Jain
Keyword(s):  
Image Denoising ◽  
Ultra Sound ◽  
Discrete Wavelet ◽  
Transform Domain ◽  
Hybrid Filter ◽  
Edge Sharpness ◽  
In Series ◽  
Salt And Pepper ◽  
Image Type

Noise is a random variation in brightness and color in image or simply we can say that unwanted signals are called noise. The noise is mixed with original signal and cause may troubles. Due to the presence of noise, quality of image is reduced and other features like edge sharpness and pattern recognition are badly affected. In image denoising methods to improve the results a hybrid filter is used for better visualization. The hybrid filter is composed with the combination of three filters connected in series. The hybridization has performed much better in case of salt and pepper type of noise and for most of the medical image type, either MRI, CT, SPECT, Ultra Sound. PSNR values show major improvement in comparison of other existing methods. Future, the results obtained from the presented denoising experiments would be tried to be improved further by using this method with other transform domain methods. Finally, the results are concluded that the proposed approach in terms of PSNR, MSE improvement is outperformed. 

scholarly journals The Influence of the Dimensions of Service Quality on Customer Satisfaction at Hotels in Batu City, Indonesia

2017 ◽  
Vol 2 (3) ◽  
pp. 67-72
Author(s):  
Ludfi Djajanto
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Market Competition ◽  
Linear Regression Analysis ◽  
Original Data ◽  
Multiple Linear Regression Analysis ◽  
Jel Classification ◽  
Dominant Dimension ◽  
Analysis Technique

Objective - The number of hotels in both urban or in tourism areas has increased quite rapidly. The success and sustainability of hotel businesses is largely determined by their marketing strategy and the quality of services they provide to their customers. In choosing a hotel, customers consider both the physical appearance of the hotel as well as the quality of service provided. The rapid increase in hotels in Indonesia necessarily increases competition in the hotel industry and the rules surrounding market competition become quite strict. The aim of this research is to determine the influence of the dimensions of service quality (tangibility, reliability, responsiveness, assurance, and empathy) on customer satisfaction and to identify the most dominant dimension in terms of customer satisfaction. Methodology/Technique - The research studied 110 respondents who have stayed in several hotels located in Batu, Indonesia. The data was collected using purposive sampling techniques using questionnaires. The data analysis technique used in this research was multiple linear regression analysis. Findings – Based on the results of this research, it is concluded that the dimensions of service quality (tangibility, reliability, responsiveness, assurance, empathy) have a significant influence on customer satisfaction. In addition, the service quality dimension that has the most dominant influence on customer satisfaction is assurance. Novelty - The research supported by original data and contribute to the literature in the context of Indonesia. Type of Paper - Empirical Keywords: Service Quality; Tangibility; Reliability; Responsiveness; Assurance; Empathy; Customer Satisfaction. JEL Classification: L15, M10, M30.

scholarly journals Prizes Signal Scientific Revolutions

2020 ◽  
Author(s):  
Ching Jin ◽  
Yifang Ma ◽  
Brian Uzzi
Keyword(s):  
Original Data ◽  
Difference In Differences ◽  
Prize Money ◽  
Scientific Revolutions ◽  
Technological Advances ◽  
Funding Agencies ◽  
The Future ◽  
Star Scientists ◽  
Quality Of Research

Abstract Scientific revolutions affect funding, investments, and technological advances, yet predicting their onset and projected size and impact remains a puzzle. We investigated a possible signal predicting a topic’s revolutionary growth – its association with a scientific prize. Our analysis used original data on nearly all recognized prizes associated with 11,539 scientific topics awarded between 1960 and 2017 to examine the link between prizes and a topic’s unexpected growth in productivity, impact, and talent. Using difference-in-differences regressions and counterfactuals of matched prizewinning and non-prizewinning topics, we found that in the year following the receipt of a prize, a topic experiences an onset of extraordinary growth in impact and talent that continues into the future. At between five to 10 years after the prize year, prizewinning topics are 38% more productive and 31% more impactful in citations, retain 53% more incumbents, and gain 35% more new entrants and 46% more star scientists than their non-prizewinning peer topics. While prizewinning topics grow unexpectedly fast in talent and impact, funding does not drive growth; rather, growth is positively associated with the recency of work on the topic, discipline-specific rather than general awards, and prize money. These findings advance understanding of scientific revolutions and identify variations in prize characteristics that predict the timing and size of a topic’s revolutionary growth. We discuss the implications of these findings on how funding agencies and universities make investments and scientists commit time and resources to one topic versus another, as well as on the quality of research.

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