Reviewerly/exHarmony huggingface dataset:
A Innovative Section Collection Method Analysis for Digital Image Watermarking

Another section district affirmation system for overpowering modernized picture watermarking is proposed in my paper. This procedure intends to pick a non covering highlight area set, which has the best power against different strikes and can shield picture quality in any case much as could reasonably be typical after watermarked. It from the outset plays out a re-sanctioned ambushing method utilizing some predefined strikes to study the liberality of each contender join locale. As appeared by the assessment works out as intended, it by then handles a track-with-pruning system to look through an irrelevant essential once-over of capacities which can negate the most predefined ambushes. [1],[ 3],[5] With a specific genuine target to refresh its protection from vague strikes under the obstacle of securing picture quality, the basic once-over of limits is then stretched out by including into some partner fragment territories. This work is portrayed as a multidimensional backpack issue and settled by a hereditary check based approach. The exploratory outcomes for Blend Stamp assaults on some benchmark pictures strengthen our yearning that the crucial once-over of limits can confine all the predefined strikes and its augmentation can improve the power against obscure ambushes. Separating and some unmistakable segment based systems, the proposed approach shows better execution in noteworthy modernized watermarking[2 ],[ 4],[6]
A Secured Data Prevention Method in Cloud Computing Process

This paper proposes protecting data by using data security and it is considered tointroducealteration, inspection, intrusion, and footage. Cloud computing may be a kind of online based computing that grants approaches of PC and various devices depending on resources and necessary information. It is an ideal that empowers entirely on the prevention and control of configurable computing resources. Now a days security is a major problem in developing cloud computing so efficient debugging of cloud computing is a successful model by security in cloud presentations. The present work is a part of cryptography in cloud computing for getting better information safety. Here we approach another security for cryptography to get secured information at cloud data centres.
CALCULATION OF SOUND INSULATION OF SOFTWOOD SAMPLES AT NORMAL INCIDENCE AND COMPARISON WITH EXPERIMENTAL DATA

The acoustic simulations were carried out for softwood and composites in order to evaluate their sound properties.Theoretical value of sound insulation was predicted by regarding the substances in the wood cell wall as equivalence to specific medium based on Biot model, and the wood microscopic characteristics, such as the length and diameter of tracheid, diameter of pit, and porosity, were taken into account for determining the equivalent density and bulk modulus of wood.By comparing the tested and predicted values of sound insulation, the conclusions were drawn as follows: the predicted values of sound insulation were significantly correlated with the tested values for wood and wood composites.As for Masson pine, the adjacent of earlywood and latewood was considered as sandwich structure for the calculation of sound insulation.The transfer function involved in sound insulation simulation provided an effective method to characterize the sound insulation volume of wood and wood composite in construction and decoration areas.
Improving Security and Safety Issues Data Stored in Cloud

Cloud computing is being progressively patronized by each organizations and folks World Health Organization have robust interest and investment from government and sectors. Cloud primarily based services have fully grown to be a part of our day-to- day package solutions. In this, the most security and safety issues embody secure storage, secure access and secure retrieval. However, authentication alongside access management and trust calculation and management connected with cloud service suppliers (CSPs) unimaginable and barely researched problems for this new paradigm. During this article, we have a tendency to discuss various information accessibility supported trust parameters among CSP and conductor.
Advanced Variables

In addition to being a container for data, PHP variables have other features that are examined in this chapter. These are features that are not commonly used but are good to know about.
4018 Published By: Blue Eyes Intelligence Engineering &amp; Sciences Publication Retrieval Number: J95700881019/2019©BEIESP DOI: 10.35940/ijitee.J9570.0981119 Journal Website: www.ijitee.org Risk Monitoring and Quantitative Results of Various Attributes of Machine Learning Algorithms with a Time Series Data.

The aim of this research is to do risk modelling after analysis of twitter posts based on certain sentiment analysis. In this research we analyze posts of several users or a particular user to check whether they can be cause of concern to the society or not. Every sentiment like happy, sad, anger and other emotions are going to provide scaling of severity in the conclusion of final table on which machine learning algorithm is applied. The data which is put under the machine learning algorithms are been monitored over a period of time and it is related to a particular topic in an area.
An effective secure data retrieval approach using trust evaluation: HBSEE-CBC

In recent times, secret data are outsourced into the cloud to a great extent. But, for the security and privacy of the data, it is essential to encrypt the data. Since search using encrypted query is very difficult, hence, facilitating an encrypted data searching scheme is supreme prominence. Though many efficient encryption algorithms are utilised, still it has some issues like increased encryption, decryption and key-generation time. An effective secure data retrieval approach (HSBEE-CBC) is introduced in this work, to avoid these issues. Here, the data are encrypted using elliptic curve cryptography (ECC) algorithm. The encrypted data are clustered using cosine based clustering (CBC) and transferred to the server. For improving the security, trust is evaluated for the user who intends to retrieve the information. After evaluating the trust, the data is decrypted in order to retrieve it. The performance of the HSBEE-CBC is analysed and compared with traditional approaches.
Importing Files

The same code often needs to be called on multiple pages. This can be done by first placing the code inside a separate file and then including that file using the include statement. This statement takes all the text in the specified file and includes it in the script, as if the code had been copied to that location. Just like echo, include is a special language construct and not a function, so parentheses should not be used.
Synergetic effects by digitalization of education in natural science, example of training in physics at University

Presented is the study of developing a theory of practice of synergetic design and virtual physical laboratories to increase the level of compliance with reality and reduce the level of learner’s immersion in the virtual environment. The authors considered one of the objectives leading to the achievement of the goal, the use of synergistic aspect in the digitalization of physical education which allows consolidating virtuality and reality of the surrounding world, and use the “positive” effects to form new physical knowledge of the learner. The authors defined the requirements for digital physics labs, which should provide realism, interactivity, automation and virtualization. The distinctive feature of the research is the synergetic aspect, which consolidates subject knowledge, mathematical modeling and philosophical reflection. The combination of these components made it possible to synthesize a new form of digital physical laboratory and to perform its software implementation based on the developed scenario diagram for the incoming actors. The software implementation of the digital physical laboratory required: preparation of video clips with a series of physical experiments, definition of the laboratory work order (progress) and examples of “return” from virtual reality. The testing of the synergetic aspect and the possibility of its realization was done on the example of a digital laboratory work in the study of the fall of a body.
Cover

Meteoritics & Planetary ScienceVolume 54, Issue 3 p. i-i CoverFree Access Cover First published: 05 March 2019 https://doi.org/10.1111/maps.13152AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Graphical Abstract Volume54, Issue3March 2019Pages i-i RelatedInformation
Development of higher mental functions through music lessons: neurocognitive aspects of music learning

The article contains theoretical material on higher mental functions and neurocognitive mechanisms involved in providing various forms of musical learning (playing a musical instrument, singing, working with rhythm). The article provides a niveau identification of the areas of the cerebral cortex involved in the perception and processing of musical impressions, in the implementation of highly coordinated motor activity, auditory control, perception of melody and rhythm. The neurocognitive features are indicated that are formed in a child during active music playing and during passive listening to music. The article provides information on the formation of certain competencies during music lessons and the possibilities of their subsequent improvement in other aspects of educational activities, in sports, in the study of foreign languages, in the development of emotional intelligence, in the training of adaptability and cognitive flexibility.
Analysis and Introduction of Graph Database

research-article Analysis and Introduction of Graph Database Share on Authors: Xianyu Meng Army Engineering University of PLA, China Army Engineering University of PLA, ChinaSearch about this author , Xiaoyan Cai Army Engineering University of PLA, China Army Engineering University of PLA, ChinaSearch about this author , Yanping Cui Army Engineering University of PLA, China Army Engineering University of PLA, ChinaSearch about this author Authors Info & Claims AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced ManufactureOctober 2021 Pages 392–396https://doi.org/10.1145/3495018.3495086Online:14 March 2022Publication History 0citation0DownloadsMetricsTotal Citations0Total Downloads0Last 12 Months0Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Assistant Systems

No AccessPlastics Industry 4.0Dec 2020Assistant SystemsChristian Hopmann, Mauritius SchmitzChristian HopmannSearch for more papers by this author, Mauritius SchmitzSearch for more papers by this authorhttps://doi.org/10.3139/9781569907979.008SectionsAboutPDF ToolsAdd to FavoritesDownload CitationTrack CitationsCopy LTI LinkPDF key 'share (en)' returned an object instead of string.FacebookTwitterEmailLinkedIn previous chapternext chapter FiguresReferencesRelatedDetails 2020Pages: 265-297Print ISBN: 978-1-56990-796-2eISBN: 978-1-56990-797-9 Copyright & Permissions© 2021 Carl Hanser Verlag GmbH & Co. KGPDF downloadLoading ...
Preliminary

Evolutionary algorithm is one of the most well-established classes of meta-heuristics. Besides optinformatics in evolutionary learning and optimization, knowledge mining and reuse has also been proposed for improving the performance of many meta-heuristic methods. To provide the reader a comprehensive background of optinformatics, this chapter presents a review on meta-heuristics and knowledge learning and transfer in meta-heuristics. Moreover, as optinformatics represents a form of memetic computation which has been defined as a computational paradigm that incorporates the notion of meme(s) as basic units of transferable information encoded in computational representations for enhancing the performance of artificial evolutionary systems in the domain of search and optimization [1], the introduction of memetic computation is also presented in this chapter.
Aula invertida y favorecimiento del desarrollo motivacional y metacognitivo en estudiantes de educación media y superior

This research sought to analyze the incidence of the Flipped classroom strategy in favoring the motivational and metacognitive development of middle and high school students from three educational institutions in the cities of Ibagué, Zipaquirá and Cali. For this purpose, a qualitative methodology was used, having an exploratory, descriptive and correlational scope, and an interpretative and comparative approach. Data collection was achieved by means of a questionnaire to students, a semistructured interview to teachers and documentary review; these instruments were validated by means of expert judgment and piloting. The data analysis was carried out by means of categorical analysis matrices, using the Excel tool, which allowed an open codification of the data, to later identify recurrences and tendencies of the emerging and final findings; it was obtained that the flipped classroom enhances the motivational and metacognitive development in these students, activating in them interest, sense of participation, collaborative work and autonomy; this because the flipped classroom allows them a leading role in the construction of knowledge, assuming a very active role in their learning.
Lambda Expressions

A lambda expression is used to represent a statement. They were introduced in Java 8 to support functional programming. If your applications require many implementations of functional interfaces, you would have to create many named classes or inline many anonymous class implementations. This would make your code excessively large and difficult to read. Fortunately, Lambda expressions can be used to represent functional interfaces using a very succinct syntax.
Online Teaching With M-Learning Tools in the Midst of Covid-19: A Reflection Through Action Research

Aim/Purpose: In the midst of COVID-19, classes are transitioned online. Instructors and students scramble for ways to adapt to this change. This paper shares an experience of one instructor in how he has gone through the adaptation. Background: This section provides a contextual background of online teaching. The instructor made use of M-learning to support his online teaching and adopted the UTAUT model to guide his interpretation of the phenomenon. Methodology: The methodology used in this study is action research through participant-observation. The instructor was able to look at his own practice in teaching and reflect on it through the lens of the UTAUT conceptual frame-work. Contribution: The results helped the instructor improve his practice and better under-stand his educational situations. From the narrative, others can adapt and use various apps and platforms as well as follow the processes to teach online. Findings: This study shares an experience of how one instructor had figured out ways to use M-learning tools to make the online teaching and learning more feasible and engaging. It points out ways that the instructor could connect meaningfully with his students through the various apps and plat-forms. Recommendations for Practitioners: The social aspects of learning are indispensable whether it takes place in person or online. Students need opportunities to connect socially; there-fore, instructors should try to optimize technology use to create such opportunities for conducive learning. Recommendations for Researchers: Quantitative studies using surveys or quasi-experiment methods should be the next step. Validated inventories with measures can be adopted and used in these studies. Statistical analysis can be applied to derive more objective findings. Impact on Society: Online teaching emerges as a solution for the delivery of education in the midst of COVID-19, but more studies are needed to overcome obstacles and barriers to both instructors and students. Future Research: Future studies should look at the obstacles that instructors encounter and the barriers with technology access and inequalities that students face in online classes.
Cross Circulated Management for Cross-Cloud in multi cloud environment

Cloud figuring is a dispersed registration hubs arrangement. The appropriation of virtual machine (VM) images in a Cross-Cloud finding situation to an agreement of transmitted system hubs is a major problem discussed in this article. This paper will manage the issue of planning virtual machine (VM) images in a Cross-Cloud registration condition to arrange appropriate process hubs. To tackle this problem, this paper proposes and updates a productive strategy for VM administration. The outcome will be utilized as a compelling planning direction for VM booking on distributed computing and cross distributed computing condition.
Advanced URL Routing

In this chapter, I describe the advanced features that are available for URL routing with the React-Router package. I show you how to create components that can participate in the routing process, how to navigate programmatically, how to generate routes programmatically, and how to use URL routing in components that are connected to the data store. Table 22-1 puts the advanced URL routing features in context.
To Improve Voice Recognition System using GMM and HMM Classification Models

In this paper, the researcher study automatic speech recognition technology for the individual. We propose a new voice recognition system using a hybrid model GMM-HMM. HMM and GMM is a non-linear classification model. Each state in an HMM can be thought of as a GMM. HMM is consider observation for state. It is also known as time series classification model. In this model, samples have been trained independently and parameters consider jointly which provides better performance than other classification models. Speech recognition system consider two types of learning patterns such as supervised learning and unsupervised learning. In this context speaker dependent and speaker independent used for identifying the efficient and effective voice. In this paper researcher considered supervised learning model for recognize efficient voice. This new voice recognition system identifies incorrect phonemes and verifies the correctness of voice pronunciation. Using the GMM-HMM hybrid model produces better performance and effectiveness of voice.
Preface

The XXIII International Youth Scientific School “Coherent Optics and Optical Spectroscopy” (COOS 2019) was held in Kazan, Russia, from October 29 to October 31 on the Tatarstan Academy of Sciences. The School follows the global tendency to comprehensive studies of matter properties and its interaction with electromagnetic fields. Since 1997 more than 100 famous scientists from USA, Germany, Ukraine, Belarus and Russia had plenary lectures presentations. This is the right place, where over 1000 young scientists had an opportunity to participate in hot discussions of the latest scientific news. Many young people have submitted interesting reports on photonics, quantum electronics, laser physics, quantum optics, traditional optical and laser spectroscopy, non-linear optics, material science and nanotechnology. Here we are publishing the full-size papers prepared from the most interesting lectures and reports selected by the Program Committee of the School. Plenary sessions were offered by the following invited speakers: Sergey Kozlov , ITMO University, Saint Petersburg, Russia. • Giant nonlinearity of the refractive index of water in the terahertz spectral range Andrei Naumov , Institute for Spectroscopy RAS, Troitsk, Moscow, Russia. • Optical echo spectroscopy of disordered solid media and composites with quantum dots Renat Gainutdinov , Kazan Federal University, Kazan, Russia. • Quantum electrodynamics in photonic crystals Oleg Khasanov , SPC NAS for materials science, Minsk, Belarus. • Nanocomposites with semiconductor quantum dots: applied aspects and characterization methods Svetlana Kotova , Lebedev Physical Institute, Samara Branch, Samara, Russia. • Vortex light fields in problems of laser manipulation of microscopic objects Andrey Maimistov , National Research University MEPhI, Moscow, Russia. • Nonlinear electromagnetic waves in waveguide arrays and optical plane zones Sergey Sazonov , National Research Center “Kurchatov Institute”, Moscow, Russia. • About optical bullets in a graded-index optical fibers Askhat Basharov , National Research Center “Kurchatov Institute”, Moscow, Russia. • Algebraic perturbation theory and stochastic differential equations in quantum thermodynamics Ivan Popov , Volga State University of Technology, Yoshkar-Ola, Russia. • Detection of trion condensate at room temperature in nanoscale traps on surface defects of the crystal structure of thin films List of Program Committee, Organizing Committee and Editorial Board are available in this pdf.
High sensitivity fringe projection profilometry combining optimal fringe frequency and optimal fringe direction

Phase sensitivity plays a vital role in accurately retrieving three-dimensional (3D) shape of diffused objects in fringe projection profilometry (FPP). With regard to traditional means that simply project horizontal or vertical fringe patterns, the fringe frequency and direction are not the best choice to acquire optimal sensitivity to depth variations. This talk will present a novel method to obtain 3D shape with high accuracy by combining the optimal fringe frequency and the optimal fringe direction (OFF + OFD). The simulated and actual experiments have been carried out to demonstrate that the proposed optimization method is feasible and effective in increasing phase sensitivity and measurement accuracy.