Reviewerly/exHarmony huggingface dataset:
Improving Cloud Integration Using Design Science Research

Cloud integration offers new opportunities to streamline the business processes in organizations.Variate integration approaches are possible: Cloud-to-Cloud, Cloud-Integrator-Cloud or Cloud-Cloud-Cloud.Depending on the cloud service, we identify various cloud service models, namely Anything as a Service (XaaS).We propose an activity framework for deploying a Cloud-Integrator-Cloud (CIC) integration of two Software as a Service (SaaS) systems.The demarche has an achievement in the implementation of two SAP Cloud software.The software integration is subject of a SCRUM process management approach.We consider the integration framework and the integration process implementation artefacts, outputs of a software project developed in terms of the Design Science Research (DSR) process.Based on relevant literature references on DSR, we apply DSR principles to the CIC integration problem.The DSR process steps are mapped to the SCRUM sprints introduced in the integration project.
A Report on Haui-Miner and Ehaupm Algorithms on Pattern Mining with Upper Limits

Utility-mining is the present developing discipline of information-mining. Utility-mining combines different structures such as High relevant item-set mining, Relevant successive item-set mining, Negative relevant item-set mining, Uncommon high relevant item-set mining and so forth. Each procedure of these item-sets mining doesn’t acknowledge length of item-sets. An ongoing improvement in the field of Utility-mining is high normal utility item-set mining. The normal Utility-mining deals with length of item- sets alongside the utility of item-sets. Here few calculations are introduced to recover high average relevant item-sets present in the database. Primary target of the present work was to look at the three High Normal Utility Models calculations:1)High Normal Utility Models (HAUP) calculation, 2)High Normal Utility Item-Set-Excavator (HAUI-Miner) Calculation and 3)Productive High Normal Utility Pattern-Mining (EHAUPM) calculation. The execution-time and memory-space are examined as achievement measures for correlation. The EHAUPM calculation is more efficient compared to other calculations; this is discovered from the performed analysis.
Proposal for a photovoltaic system at the University of Moa

Currently, the energy matrix worldwide relies on fossil fuels and the rate of consumption is increasing, so that the depletion of existing reserves is a reality that concerns everyone. The objective of this work was to propose a photovoltaic system on the roof of the kitchen-dining room building of the University of Moa, on which the energy that it is capable of delivering was determined. A simulation of it was carried out in the PV syst software. The results indicated that the installation generates 351 MWh per year with an installed capacity of 230 kW and the installation is made up of 851 photovoltaic modules occupying a useful area of 1.390 m2 .
Ex Libris

Free AccessEx LibrisProf. Dr. David PlüssProf. Dr. David Plüss Universität Bern Schweiz https://www.unibe.ch/ Search for more papers by this authorPublished Online:Mar 2020https://doi.org/10.13109/path.2020.109.3.149SectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinkedInRedditEmail About Previous article FiguresReferencesRelatedDetails Download book coverVolume 109Issue 3March 2020 ISSN: 0720-6259eISSN: 2197-0831HistoryPublished online:March 2020 PDF download
Brief Biographies for Authors and Guest Editors

"Brief Biographies for Authors and Guest Editors." Cataloging & Classification Quarterly, 57(1), pp. 88–89
Offer Easy Access With Searchable Image Library

Nonprofit Communications ReportVolume 17, Issue 12 p. 8-8 Image Storage Offer Easy Access With Searchable Image Library First published: 13 November 2019 https://doi.org/10.1002/npcr.31358Read the full textAboutPDF 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 No abstract is available for this article. Volume17, Issue12December 2019Pages 8-8 RelatedInformation
Basic School Teachers‟ Conceptions of Assessment in the Sissala East Municipality

This study employed a sequential explanatory mixedmethod design to examine basic school teachers' classroom assessment conceptions in the Sissala East Municipality in the Upper West Region of Ghana.In particular, the study examined the types of classroom assessment conceptions of teachers and their demographic characteristics that influence their assessment conceptions.Quantitative data gathered from 203 respondents were analyzed using mean, standard deviations and Pearson product-moment correlation.In the follow-up qualitative phase, semi-structured interviews were undertaken with 12 participants and the data subjected to interpretive thematic analysis.The findings revealed that the participants demonstrated positive conceptions of assessment as a means for ensuring student and school accountability as well as improving teaching and learning, with assessment for student accountability yielding the highest mean value.Also, the findings revealed that the relationships among student accountability, school accountability and improvement were moderate and that these levels have a positive effect on one another.It was recommended, among other issues, that teachers need to note that assessment is acceptable if motivated by a particular reason, whether it is for improvement, student accountability, or school accountability.
Calculus of complex functions

This textbook is a comprehensive introduction to the key disciplines of mathematics - linear algebra, calculus, and geometry - needed in the undergraduate physics curriculum. Its leitmotiv is that success in learning these subjects depends on a good balance between theory and practice. Reflecting this belief, mathematical foundations are explained in pedagogical depth, and computational methods are introduced from a physicist's perspective and in a timely manner. This original approach presents concepts and methods as inseparable entities, facilitating in-depth understanding and making even advanced mathematics tangible. The book guides the reader from high-school level to advanced subjects such as tensor algebra, complex functions, and differential geometry. It contains numerous worked examples, info sections providing context, biographical boxes, several detailed case studies, over 300 problems, and fully worked solutions for all odd-numbered problems. An online solutions manual for all even-numbered problems will be made available to instructors.
Reinforcement learning

The discussion here considers a much more common learning condition where an agent, such as a human or a robot, has to learn to make decisions in the environment from simple feedback. Such feedback is provided only after periods of actions in the form of reward or punishment without detailing which of the actions has contributed to the outcome. This type of learning scenario is called reinforcement learning. This learning problem is formalized in a Markov decision-making process with a variety of related algorithms. The second part of this chapter will use function approximators with neural networks which have made recent progress as deep reinforcement learning.
Iteration Structures

As shouldIteration structures \b be recalled from previous courses, there are many different types of iteration structures available to a programmer in a high-level programming language.
Fuzzy logic image processing

With facial recognition software becoming more widely used, especially in mobile apps such as Snapchat, boundary detection will continue to be one of the primary areas of interest in enhancing software performance. Edge detection is paramount in discriminating objects so they can be used and processed. This paper will present a fuzzy system for boundary detection. The proposed system will then compare it to traditional methods of edge detection using MATLAB's image processing toolbox. The proposed fuzzy system allows for more effective tool since the membership functions can be more defined and robust to accommodate different images, as well as tailored to result in a more effective processed image due to ambiguity. The results of the simulation of the fuzzy system shows that it was more capable of dealing with ambiguities in the input images, so in pictures where the edges were not so clear or required more detail, the fuzzy system was more capable since it can be better tailored for use.
Evolutionary Programming Breakdown

Various system administrators would agree that, had it not been for ubiquitous speculation, the headway of Lam-port timekeepers may never have occurred. In this work, we disconfirm the improvement of multi-processors. Mental-Heer, our new heuristic for interposable frameworks, is the response for these checks
IMPROVING IRRIGATION EFFICIENCY BASED ON INTRODUCING OF DIGITAL MODELS FOR FORECASTING WATER CONSUMPTION

The article deals with the development of a methodology for predicting total water consumption based on the theory of Chebyshev interpolation of a discretely given function, which allows obtaining more accurate predicted values and, as a result, optimizing irrigation parameters.The developed computer program, which implements the construction of a predictive polynomial, allows it to be integrated into the structure of digital platforms for agribusiness management, such as, for example, Agrosignal, and used for prompt adjustment of irrigation decisions.
LMS HONORARY MEMBERS 2019

Bulletin of the London Mathematical SocietyVolume 52, Issue 1 p. 261-263 LMS HONORARY MEMBERS 2019 LMS HONORARY MEMBERS 2019 First published: 23 January 2020 https://doi.org/10.1112/blms.12324 Read the full textAboutPDF 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 onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume52, Issue1February 2020Pages 261-263 RelatedInformation
XML and JSP

HTML is probably the first markup language most of us came into contact with. It is a great language, but it’s not without its problems.
LW-AES VS: Lifting Wavelet –Advance Encryption Standard Video Steganography

Now a day, the digital multimedia communication is widely adopted in daily life scenario. In various fields, the sensitive information is also transmitted and received through these types of communication. Hence, providing the security to these applications is a challenging task. Recently, watermarking, cryptography and steganography techniques have gained attraction for securing the multimedia data. Steganography has several advantages and widely adopted for text, audio and video communication. In this work we focus on the video steganography and presented a novel technique using Lifting wavelet transform. To improve the security of the secret data, we use AES (Advance Encryption Standards) to encrypt the data before embedding. The proposed approach is called as LW-AES VS (Lifting wavelet –Advance encryption standard video steganography). The proposed approach is implemented using MATLAB tool. The experimental study is carried out on open source research video dataset. The performance of proposed approach is compared with existing techniques in terms of PSNR, MSE and correlation which shows performance improvement using proposed mode.
Pixel Value Graphical Password: A PassPix Clustering Technique For Password Fault Tolerance

The pixel value graphical password scheme was introduced to reduce the burden on memorizing a hard textual password and to hide the password information. It gives freedom for the user to utilizing their personal image their password, called PassPix, that makes it is more memorable and hidden in the same time. However, when the PassPix is travelled on a compressed media, the safety information that resides in the PassPix is transformed and demolishing its function as password. This study is aimed to propose the image clustering technique to solve the issues. This paper is organized into 4 sections where an explanation on graphical password scheme as the introduction in section 1, the problem of this study is stated in section 2, the idea of clustering technique is discussed in section 3, and section 4 as the conclusion of this article.
What Makes a Good Likert Item?

Likert items are widely used in HCI research both as a convenient measure on their own and in questionnaires to give a unified instrument. Researchers often have questions about how best to format Likert items and this chapter looks at the most common issues of the number of response options, whether to have a midpoint and how to label the options. There are clear recommendations based on the state-of-the-art research on these topics.
Sparse Bilateral Denoising for CT Scan Images with Edge Preservation

Denoising in CT images using bilateral with sparse representation is presented in this paper. Artifacts occurs in images when an X-ray penetrates the thick objects like bones, implanted organs, surgical clips etc.,. Due to these artifacts in images , the quality of artifact pruning algorithms will be diminished. In order to preserve the image quality as well as edge details, a bilateral filter along with sparse representation is proposed to reduce the noises. The proposed technique is applied to CT humorous bone image and has achieved the better PSNR of 22dB approximately for 512 x512 image as compared to bicubic filter. The simulated real datasets are used to quantitatively evaluate the noise. Moreover the proposed denoising approach can outperform the latest approach in terms of fidelity
PENERAPAN TOGAF ARCHITECTURE DEVELOPMENT METHOD PADA SISTEM INFORMASI TRACER STUDY BERBASIS WEB

Alumni are the most important component of the institution in enhancing the college image. One aspect of the college's credibility assessment of community and institutional perception can be seen from the relevance between graduates, field of study, and the type of work. Curriculum and learning at educational institutions are assessed when each graduate is accepted by the job market and according to the needs of employers, so to go to the level of high Pergururuan should know the market trends and needs of employers with Involving and employers to get feedback. In the management of tracker studies, information and communication technology has become imperative, where the rapid development of ICT and the bustle of stakeholder activities become an aspect that can not be ignored. The purpose of the study was to produce an artists company and prototype Tracer study application by utilizing the framework of TOGAF ADM through 4 phases, namely architecture vision, architecture business, information systems architecture, and architecture Technology. The research method is descriptive with a quantitative approach. From the results of research obtained by architecture and prototype studies are expected to be a source of reference in their implementation and can facilitate the management and search of graduates, taking into account aspects of business, applications, technology and and efficiency of the information systems of the AMIK XYZ study governance.Keywords; Tracer Study, Colleges, TOGAF ADM, alumni, Architecture Enterprise
Quasi-Lossless Based Fractal Image Compression Using Krill Herd Algorithm

Image compression techniques based on fractals produces good quality of image.It makes use of different techniques to compress images and to provide better solution.One such technique is quasi lossless fractal image compression.This paper focuses on Krill Herd (KH) algorithm to enhance the quasi lossless fractal image compression method.It deals with various parameters such as time taken for encoding and decoding, compression ratio, quality and retrieved image, Peak Signal to Noise Ratio (PSNR) value.Applying Krill Herd algorithm to quasi lossless fractal image compression yields better image quality of image and provides high Compression Ratio (CR).The different images concerning compression parameters and their performances are compared with other optimization algorithms.
Automatic Attendance Management System under Unconstrained Video using Face Recognition

Attendance Management System under unconstrained video using face recognition technology has made a great variation from the traditional method of attendance marking system. This attendance management system has been developed under the domain of Deep Learning by using Face recognition. Automatic Attendance Management under unconstrained video using face recognition systems which automatically mark attendance by detecting end to end face from the frames obtained from live stream video of surveillance camera which placed in center of the classroom. From the recognized faces, it will be compared with stored images in database, then the attendance report will be generated and it also provides attendance reports to parents of the absentee’s student.
Research Method of Data Deduplication Backup System

In this paper, we've got studied cutting-edge-day backup systems and used a singular technique which facilitates in decreasing the fragmentation trouble. The winning backup tool have lumps of every backup which is probably bodily scattered, which ends up in a very demanding fragmentation trouble. Fragmentation offers upward thrust to 2 kinds of fragmented containers which is probably sparse and out-of-order boxes. Sparse container exacerbates the device simple ordinary overall performance on both restore and rubbish series. Out-of-order packing containers talk to the ones containers which can be accessed commonly at some point of a repair. As a way to lessen the fragmentation trouble we use the antiquity acquainted set of guidelines and stockpile aware filter out. Those help in figuring out the sparse further to the out of order discipline.
Generative models

This chapter presents an introduction to the important topic of building generative models. These are models that are aimed to understand the variety of a class such as cars or trees. A generative mode should be able to generate feature vectors for instances of the class they represent, and such models should therefore be able to characterize the class with all its variations. The subject is discussed both in a Bayesian and in a deep learning context, and also within a supervised and unsupervised context. This area is related to important algorithms such as k-means clustering, expectation maximization (EM), naïve Bayes, generative adversarial networks (GANs), and variational autoencoders (VAE).
Preface

The rise of new technology for Industry 4.0, we aim to discover how Virtual and Mixed Reality Interfaces fit to Industry 4.0. International Conference on Virtual and Mixed Reality Interfaces 2020 (ICVRMR2020) brings an opportunity to invite new innovative inventions on Computer Graphics, Multimedia, Image Processing, Human Computer Interaction, Animation, Web and Mobile Technology, Games and Emerging Technology especially in Virtual and Augmented/Mixed Reality. Due to the COVID-19 pandemic situation all around the globe, we have organized this conference into virtual conference and the method is virtual presentation for all International and local participants. ICVRMR2020 is a strategic step to develop a research network in the field of Computer Graphics, Multimedia, Image Processing, Human Computer Interaction, Animation, Web and Mobile Technology, Games and Emerging Technology especially in Virtual and Augmented/Mixed Reality. UTM ViCubelab Research Group brings this virtual conference to provide the opportunities for academicians, professionals, practitioners and policy makers in the engineering and computing fields to share their thoughts and empirical works on Virtual Reality and Augmented/Mixed Reality inline with the rise of new industrial digital technology. Therefore, we still held this conference even though it is virtually through the Webex application. Outcome from this conference can be a benchmark for future research and development, and become a trigger point for developing research and development collaborations. It also serves to foster communication among researchers and practitioners working in a wide variety of scientific areas with a common interest in Engineering and Applied Computing. Thank you. Dr. Ajune Wanis Ismail Chair of ICVRMR 2020 List of Organising Committee, Honorary Chair, Chair, Co-chair, Publication Chair, Our Committee are available in this pdf.
Corrigendum: An Efficient Synthesis of Darunavir Substantially Free from Impurities: Synthesis and Characterization of Novel Impurities

ChemistrySelectVolume 4, Issue 22 p. 6812-6812 CorrigendumFree Access Corrigendum: An Efficient Synthesis of Darunavir Substantially Free from Impurities: Synthesis and Characterization of Novel Impurities This article corrects the following: An Efficient Synthesis of Darunavir Substantially Free from Impurities: Synthesis and Characterization of Novel Impurities Rajesh Kumar Rapolu, Srinivas Areveli, V. V. N. K. V. Prasada Raju, Srinivasu Navuluri, Murthy Chavali, Naveen Mulakayala, Volume 4Issue 14ChemistrySelect pages: 4422-4427 First Published online: April 15, 2019 Rajesh Kumar Rapolu, Rajesh Kumar RapoluSearch for more papers by this authorSrinivas Areveli, Srinivas AreveliSearch for more papers by this authorDr. V. V. N. K. V. Prasada Raju, Dr. V. V. N. K. V. Prasada RajuSearch for more papers by this authorProf. Dr. Srinivasu Navuluri, Prof. Dr. Srinivasu NavuluriSearch for more papers by this authorProf. Dr. Murthy Chavali, Prof. Dr. Murthy Chavali +91-8309-33-77-36 Search for more papers by this authorDr. Naveen Mulakayala, Dr. Naveen Mulakayala +91 9705–38-37-77 Search for more papers by this author Rajesh Kumar Rapolu, Rajesh Kumar RapoluSearch for more papers by this authorSrinivas Areveli, Srinivas AreveliSearch for more papers by this authorDr. V. V. N. K. V. Prasada Raju, Dr. V. V. N. K. V. Prasada RajuSearch for more papers by this authorProf. Dr. Srinivasu Navuluri, Prof. Dr. Srinivasu NavuluriSearch for more papers by this authorProf. Dr. Murthy Chavali, Prof. Dr. Murthy Chavali +91-8309-33-77-36 Search for more papers by this authorDr. Naveen Mulakayala, Dr. Naveen Mulakayala +91 9705–38-37-77 Search for more papers by this author First published: 13 June 2019 https://doi.org/10.1002/slct.201902072AboutPDF 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 No abstract is available for this article. Volume4, Issue22June 14, 2019Pages 6812-6812 RelatedInformation
Metrics in Agile Projects

A key performance indicator (KPI) is a performance measurement used in most organizations to evaluate an organization’s success or the success of a particular activity within the organization. Often, KPIs are used to measure the effects of a change project—for instance, implementing a good DevOps process—or to evaluate the progress of a development project.