Reviewerly/exHarmony huggingface dataset:
Secret Sharing

Certain cryptographic keys, such as missile launch codes, numbered bank accounts and the secret decoding exponent in an RSA public-key cryptosystem, are so important that they present a dilemma. If too many copies are distributed, one may be leaked. If too few, they might all be lost or accidentally destroyed. Secret sharing schemes invented by Shamir ([21]) and Blakley (1979) address this problem and allow arbitrarily high levels of confidentiality and reliability to be achieved. A secret sharing scheme “divides” the secret s into “shares”—one for every user—in such a way that s can be easily reconstructed by any authorised subset of users, but an unauthorised subset of users can extract absolutely no information about s. A secret sharing scheme, for example, can secure a secret over multiple servers and remain recoverable despite multiple server failures.
Efficient Task Scheduling for Quality of Service in Cloud Computing Network

Task scheduling in cloud is the process of allocating a resource to a task at specific time. The allocation of limited cloud resources to large number of tasks to satisfy the required quality of service is the key challenge in cloud. Allocation of a resource with less capability to a task increases the response time, makespan of the task and waiting time of the entire tasks in the waiting queue. This problem will result to an unsatisfied Quality of Service. In this paper we proposed an efficient task scheduling that uses three threshold values to specify the resource to be allocated to a task at a given time. This method ensures that a capable resource is allocated to task such that the response time and makespan of the all task are minimized. The proposed method was simulated using CloudSim and the result shows a better response time and makespan than the well known Min-Min and Max-Min Method.
Cloud Computing Data Group Distribution as Well as Restricted Distribution with Multi Owner

withtthetquick headway oftcloudtorganizations, monstroustvolumetof information istsharedtthrough distributed computing.tBut cryptographictstrategies havetbeentutilizedtto give information mysterytintdistributedtcomputing,tcurrent instruments can't approve assurance stresses over ciphertext related with numerous proprietors,twhichtmakestco proprietors unfitttotreasonablytcontroltwhethertinformation disseminators canttruly dispersettheirtinformation.tIntthistpaper,wetproposeta sheltered information bunch sharing and prohibitive dispersal plottwithtmultiproprietortintdistributedtcomputing,tin which information proprietortcantgranttprivate information tota gatheringtoftcustomers by methods for thetcloudtinta protectedtway,tandtinformationtdisseminatortcan spreadtthe information totanothergathering oftcustomers iftthe characteristicstsatisfytthe passageway approaches in thetciphertext.tWetfurthertpresenttatmultipartytget the chance to control instrument over thetdispersedtciphertext,tintwhichtthe informationtcoproprietorstcan attach newtaccesstways tot deal withtthetciphertexttduettottheir security tendencies. Moreover, approach’s, proprietor need andtlion'stoffer permit, realizedtbytdifferent access methodologies. The security examinationtandttest outcomes showtour arrangements helpfultandtpowerful fort secure information offering totmultitproprietortin distributed computing.
Content based Retrieval Management Systems in Web Engineering

The tremendous upsurge and abundant availability of graphic documents on the internet directed to the high concern in research on Content-Based Image Retrieval (CBIR). It has cemented the attitude for a massive sum of innovative procedures and schemes, and growing curiosity in respective fields to preserve such research. Existing technologies were discussed about various CBIR techniques such as k-means, content-based image, and hybrid clustering, etc. in combination with the feature vector of information images and texture features. In similar cases, it is constricted in stating the user’s semantic knowledge to permit information distribution and reuse. Hence models ought to be managed within repositories, where they might be retrieved upon users’ queries. Due to the lack of adequate tools on incisive/handling for visual content, this research work proposes an Efficient Density-based Clustering Algorithm (EDBC) for CBIR technique that will enhance scalability, reduce the user search time, and lower the maintenance cost. Using the existing CBIR, the color, texture, and shape features of an image is identified by integrating with the proposed EDBC algorithm and thereby, it improves the scalability and user search time. When comparing the feature between the color histograms of RGB and CMYK, it shows better color characteristics in CMYK by using the proposed technique. Also, the grouping of color, shape and texture features based image retrieval improves the accuracy when compared with existing methods
Mining Severe Priority Bugs in Software Maintenance

Maintenance of open source software is a hectic task as the number of bugs reported is huge. The number of projects, components and versions in an open source project also contribute to the number of bugs that are being reported. Classification of bugs based on priority and identification of the suitable engineers for assignment of bugs for such huge systems still remains a major challenge. Bugs that are misclassified or assigned to engineers who don’t have the component expertise, drastically affect the time taken towards bug resolution. In this paper we have explored the usage of data mining techniques on the classification of bugs and assignment of bugs to engineers.Our focus was on classifying bugs as either severe or non-severe and identification of engineers who have the right expertise to fix the bugs. The prediction of bug severity and identification of engineers were done by mining bug reports from JIRA, an open source software bug tracking tool. The mining process yielded positive results and will be a decision enhancer for severe bugs in the maintenance phase
Signal and Image Based Analysis of Human Fear using FPGA

Human emotion detection is a very important part to enhance the human machine interaction. Emotions can be classified as pure emotions and mixed emotions. Classification of emotions based on single domain feature set is not perfect enough. In this paper six emotions such as fear, anger, surprise, happy, neutral and sad are considered for analysis. Facial emotions and physical parameters are considered for the analysis. Human fear is analyzed predominantly out of all six emotions. The features for each emotion are implemented using FPGA. It is seen that the number of slices and look up table are varying according to the change of emotion. The slices and lookup table are taken as features for facial emotions and combined with physical parameter features to give better result. The combined features are classified by back propagation algorithm. Out of all emotions fear emotion has the more sensitivity and specificity of 97.36% and 91.67% respectively. The sensitivity and specificity for only physical parameters and facial images are 58.62%, 79.41%, 81.25%, 47.62% respectively. The fear emotion is best classified by taking combined feature set other than single feature set like human emotional faces or physical parameters.
Rijndael Encryption Technique: Authentication for Computer Application

Password Management System is used for file protection and encryption file process can be done in computer application especially through the cloud computing environment. This approach has been adapted or implemented in various managements to secure application incomputing. This system functions to help the applicationcomputing users to protect information using priority password without having difficulty. The system had done for protection system information process. An activation to encrypt files to increase the best and systematic services to the organization management in application computing. After all, the result was reached the goals that punctual the file protection to encrypt file through cloud computing environment.
File Management and Transparency System using Blockchain

Modern India has had a strong focus on technology. There exists technology in all the field including government sector. The main objective of this paper is to provide the method to secure the file monitoring system. This application is to monitor every file movements of all the employee and timely informed via SMS, emails. For this purpose, each file contains the barcode and whenever file move out of the warehouse then the barcode are scanned to update its status. This system is build using blockchain technology. One of the reasons to choose the blockchain is because a blockchain is distributed, decentralized, secured, digital playscript which is use for recording the transaction over many computers so that records cannot be altered. The aim of this experiment is to provide file transparency and should provide estimated turnaround time at each stage.
Enhancing Security of ATM Transactions via Debit Cards

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Aes Cryptograph For Secure Cloud Storage

In cloud computing disseminated assets are shared by means of system in open condition. Subsequently client can without much of a stretch access their information from anyplace. Simultaneously exist protection and security problems because of numerous causes. Initial one is emotional improvement in system advances. Another is expanded interest for computing assets, which make numerous associations to re-appropriate their information stockpiling. So there is a requirement for secure cloud stockpiling administration in open cloud condition where the supplier isn't a confided in one. Our research tends to various information security and protection assurance problems in a cloud computing condition and suggests a technique for giving diverse security administrations like validation, approval and classification alongside checking in postponement. 128 piece Advanced Cryptograph Standard (AES) is utilized to increment information security and classification. In this supported methodology information is encoded utilizing AES and afterward transferred on a cloud. The supported model uses Short Message Service (SMS) ready instrument with keeping away from unapproved access to client information.
Categorization of CVE Based on Vulnerability Software By Using Machine Learning Techniques

Public Platform is designed as an online website for researchers to collect reliable data for the study. NVD plays a significant role in analyzing The result of analysis in association influence metrics CVSS, type of CWE and applicability reports weakness CPE. The vulnerability testing is not performed by NVD while third-party security researchers and vulnerability controllers give information that has been assigned these attributes. ML plays a significant part in our daily life for the classification of huge data and is giving fruitful results. Because of that result, major steps have been made against criminal activities or unauthorized use of electronic data and protect the data from attackers. The major goal of this research is to categorize CVE Based Vulnerability Software throughout the last two years, 2019-2020.The findings of this study were used to ML for the categorization of CVE and compared and will open door for the fresh researchers and professionals.
Notes from the Editors

An abstract is not available for this content. As you have access to this content, full HTML content is provided on this page. A PDF of this content is also available in through the ‘Save PDF’ action button.
Analisis Kualitas Produk untuk Meningkatkan Kepuasan Nasabah

&#x0D; The purpose of this article is to find out how to optimize product quality for customer satisfaction. The type of data used in this article is secondary data. Secondary data is data obtained from library sources which include documents, books, and research reports. How to optimize product quality by means of initial ideas or ideas, screening of ideas or ideas, concept development and testing, marketing strategies, business analysis, product development, market testing, commercialization. Product quality is something that provides benefits both in terms of meeting daily needs or something that consumers want to have. Therefore, good product quality will affect customer satisfaction.&#x0D;
Reviewer Acknowledgements

Applied Economics and Finance (AEF) would like to acknowledge the following reviewers for their assistance with peer review of manuscripts for this issue. Many authors, regardless of whether AEF publishes their work, appreciate the helpful feedback provided by the reviewers. Their comments and suggestions were of great help to the authors in improving the quality of their papers. Each of the reviewers listed below returned at least one review for this issue. Reviewers for Volume 6, Number 3 Andrey Kudryavtsev, IsraelAyoub Taha Sidahmed, SudanErdal Gumus, TurkeyFarhat Iqbal, PakistanGeorge Theocharides, CyprusGetamesay Bekele Meshesha, EthiopiaIan McFarlane, UKIbrahim Baghdadi, LebanonIulia Lupu, RomaniaKaveh Dalvand, United StatesKembo Bwana, TanzaniaMagdalena Radulescu, RomaniaMagdalena Zioło, PolandMahmoud Mohammed Sabra, PalestineMamdouh Abdelmoula M. Abdelsalam,EgyptMarco Muscettola, ItalyMarta Borda, PolandMohammed Al-Mahish, Saudi ArabiaNicolas Afflatet, GermanyNuno Crespo, PortugalOltiana Muharremi Pelari, AlbaniaPatrycja Kowalczyk-Rolczynska, PolandPayal Chadha, KuwaitRajeev Rana, IndiaRamona Orastean, RomaniaRichard Nguyen, USARomeo Victor Ionescu, RomaniaSebastian Schich, FranceSteven V. Cates, USASzabolcs Blazsek, GuatemalaVictoria Cociug, MoldovaY. Saidi, AlgeriaZi-Yi Guo, USA Nikki GibbsEditorial AssistantOn behalf of,The Editorial Board of Applied Economics and FinanceRedfame Publishing9450 SW Gemini Dr. #99416Beaverton, OR 97008, USAURL: http://aef.redfame.com
Virtual Reality Cinemas: The Challenges of an Individual Medium

Virtual reality can be used to tell stories in ways that humans have never before experienced. Why doesn’t the display of virtual reality content reflect it’s immersive nature? Could the development of a spatial design and entrance/exit protocols allow for people to have more enticing experiences with this evolving medium? This MRP explores the reasons that have held back growth for virtual reality narrative experiences and displays. Through research, by observation of public virtual reality spaces and interviews of the operators of virtual reality experience centres, I have explored various sets of best practices. I culled together the best practices from each resource to create a physical virtual reality cinema where I could test and refine my findings.
Why visual aids need to be less visual

Each "Communication Corner" essay is self-contained; however, they build on each other. For best results, before reading this essay and doing the exercise, go to the first essay "How an Ugly Duckling Became a Swan," then read each succeeding essay. Public speaking is not only about communicating your ideas orally, but also visually. Too many presentations are undermined by poorly chosen slides. An outstanding presentation is one that addresses two fundamental objectives, with the end goal of leaving a lasting impression on the audience.
PENINGKATAN KETERAMPILAN GURU SEKOLAH DASAR DALAM PENAYANGAN VIDEO PADA MICROSOFT POWERPOINT DENGAN TEKNIK HYPERLINK

In the DKI Jakarta area, in the 2019/2020 school year it is almost certain that all schools in the Ministry of Education and Culture and the DKI Jakarta Education Office have compiled the 2013 curriculum. How to understand this 2013 curriculum encourages teachers to improve their quality and professionalism as educators adjusted to the needs of the present . The thing that is highlighted the most is the ability of a teacher in information technology literacy that is good at accessing and using the technology itself. At the same time in Menteng Atas Elementary School 02 Morning, there are still not a few teachers who have not mastered specific information technology in order to make IT-based learning media, therefore related to the team from Unindra will help community service to help teachers in doing communication 2013 (kurtilas) one of them with the help of teachers in providing learning using video media in PowerPoint with hyperlink techniques. Hopefully with community service activities we can help in developing and improving the professionalism of teachers in the field of information technology.
University Published Paper Reproducibility Assessment Protocol - For students v1

This protocol is for students carrying out a literature/data curation exercise to crowdsource and determining whether the data availability of papers from a university meets the national, funder, university and journal policies. The teachers setting up this assessment have a separate related protocol they need to follow, and they will ultimately collate and mark these results.
On petrogeochemical zoning of mesozoic volcanites of the ore fields of gold and polymetallic deposits of the Eastern Transbaikalia

Transverse petrogeochemical zoning in the location of volcanites of Shadaronsky (J2-3) and Mulinsky (J2-3) series, characteristic of volcanic arcs, has been revealed in the Eastern Transbaikalia. Volcanites of the tholeiitic and calc-alkaline series are developed in the frontal zone of the volcanic arc, in the suture zone of the Mongolo-Okhotsk suture (MOS), in the rear zone of the MOS - volcanites of the calc-alkaline series. The volcanites of the frontal and rear parts differ in their petrogeochemical composition, in the degree of oxidation of iron and in the distribution of rare earth elements (REE). These differences are characteristic of the volcanic arcs of the transition zones from the ocean to the continent. Vulcano-plutonic structures of the frontal zone of MOS produce gold mineralization, the rear zone of MOS - polymetallic mineralization.
KEY COMPETENCE ACQUISITION – AN ANALYSIS OF THE TEACHER TRAINING PROGRAM IN THE REPUBLIC OF CROATIA

V. Brković1, R. Bušljeta2, M. Togonal1 1Catholic University of Croatia (CROATIA) 2University of Zagreb, University Department of Croatian Studies (CROATIA)
KORELASI KETERAMPILAN MEMBACA PEMAHAMAN TEKS EKSPOSISI DENGAN KETERAMPILAN MENULIS TEKS EKSPOSISI SISWA KELAS VIII SMP NEGERI 34 PADANG

ABSTRACT The purpose of this research was to describe things as follows. First, describes the reading skills in understanding of exposition textgrade VIIIJunior High School 34 Padang. Second, it describes the writing skills of expositon textgrade VIIIJunior High School 34 Padang. Third, explain the relationship between the reading skills in understanding of exposition text with writing skills of expositon textgrade VIIIJunior High School 34 Padang. This type of research correlation between the reading skills in understanding of exposition textwith writing skills of exposition text grade VIIIJunior High School 34 Padang is quantitative research with descriptive methods. Based on the reslt of the study, the following three things concluded. First, the reading skills in understanding of exposition text are in good qualification (77.56). Second, the writing skills of exposition on grade VIIIJunior High school 34 Padang are in good qalification (77.64). Third, there is a significant correlation between the reading skills in understanding of exposition text with the writing skills of exposition text grade VIII Junior High School 34 Padang at n-1 degress freedom and a sicnificant level of 95%. Kata Kunci: Korelasi, Keterampilan Membaca Pemahaman Teks Eksposisi, Keterampilan Menulis Teks Eksposisi
Effective Revisable Data Hiding in Encrypted Image for Protection of Image Content

In this article, we propose a reversible method for hiding data, in which the original image and hidden data can be restored on the receiving side. The owner encrypts the original image using an encryption key to protect the privacy of the image content. Each block of encrypted image is added to the little secret by Hider data using the key data hiding. Data hiding process causes only a small change in each partial pixel flip block, which improves decoded image visual quality. The image can be easily decoded receiver using the key, data encryption key to hide the adaptive soft characteristic of the evaluation function along the direction of the isophote, the secret data can be extracted from a decoded image and original image recovery can be restored more successfully.
Lösungen in Python

No AccessProgrammieren trainierenApr 2020Lösungen in PythonLuigi Lo Iacono, Stephan Wiefling, Michael SchneiderLuigi Lo IaconoSearch for more papers by this author, Stephan WieflingSearch for more papers by this author, Michael SchneiderSearch for more papers by this authorhttps://doi.org/10.3139/9783446460577.012SectionsAboutPDF ToolsAdd to FavoritesDownload CitationTrack CitationsCopy LTI LinkPDF key 'share (en)' returned an object instead of string.FacebookTwitterEmailLinkedIn previous chapternext chapter FiguresReferencesRelatedDetails 2020Pages: 441-618Print ISBN: 978-3-446-45911-3eISBN: 978-3-446-46057-7 Copyright & Permissions© 2020 Carl Hanser Verlag GmbH & Co. KGPDF downloadLoading ...
Deducing of Optimal Machine Learning Algorithms for Heterogeneity

For defining the optimal machine learning algorithm, the decision was not easy for which we shall choose. To help future researchers, we describe in this paper the optimal among the best of the algorithms. We built a synthetic data set and performed the supervised machine learning runs for five different algorithms. For heterogeneity, we identified Random Forest, among others, to be the best algorithm.
Fruitfly based Optimization for Forgery Face Detection Analysis

Computerized imaging is huge development in ongoing decades, and these pictures is being utilized in developing number of uses. These days a few virtual products are accessible that are utilized to control picture so the picture resembles the first picture. Pictures are utilized as confirmed evidence for any wrongdoing and in the event that these pictures are not veritable, at that point it will make a doubt. The accessible minimal effort equipment and programming apparatuses makes it simple to control the first pictures with no conspicuous follows. Picture falsifications are developing at a disturbing rate in different fields and has offered negative comment in tolerating the respectability and realness of the first pictures. Destroying in an advanced picture has become a difficult assignment. The reliability of the pictures has been an inquiry because of the huge development in picture control devices. The AI and enhancement calculations are utilized to get viable outcomes. In our project, forgery detection is based on Support Vector Neural Network. The pictures are gathered and the face is recognized utilizing robust skin colored based algorithm and these pictures are exposed to feature extraction, which is prepared utilizing fruit fly optimization algorithm to group the features to identify the manipulation. The metrics, accuracy, sensitivity and specificity of the image is obtained as the result.