Reviewerly/exHarmony huggingface dataset:
Image Scaling Using Transform Coding with Quad tree and Huffmann Coding

With the growth of the business sector for digital media resources, for example computerized images and videos, the analysis of pressure methods has evolved. The creation of better quality and less expensive picture handling innovations has added to a continuous development in both picture size and goals, adding to a more prominent impact on the formation of compelling pressure frameworks. Photograph pressure is additionally one of the basic purposes behind the putting away or transmitting of information by means of the contact media. This paper recommended a cutting edge refreshed technique to expand the pressure proportion, the PSNR esteems and the decrease of encoding time. Utilizing change coding with quad tree decay and Huffman coding to authorize picture pressure. Utilizing the limit estimation of 0.2 and Huffman coding for the translating and encoding of picture systems, for example, these, picture pressure was executed. Pinnacle Signal to Noise Ratio and pressure proportion are determined for three kinds of pictures. The trial of the Mat lab investigation show that the Quad tree deterioration technique exhibits point by point change in pressure proportions and PSNR esteems.
Fracking hell

Chemistry & IndustryVolume 83, Issue 3 p. 38-38 Global view Fracking hell First published: 12 March 2019 https://doi.org/10.1002/cind.833_12.xAboutPDF 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. Volume83, Issue32019Pages 38-38 RelatedInformation
Roadblocks

Adoption of a blockchain technology is challenging in terms of both feasibility and viability to both parties involved in generating the values. In this chapter, readers will understand the roadblocks—challenges in the blockchain space, thereby enabling them to charter appropriate strategies and tactics.
Drivers of Cloud Computing Adoption for E-Government Services Implementation

Adopting and using Information and Communication Technologies (ICTs) in the public sector affords undeniable benefits in terms of efficient and cost-effective provision of services, facilitating public management and promoting transparency and participation through e-government systems. However, many governments around the globe face many challenges and still struggle to implement e-government initiatives successfully. Cloud computing may offer a new chance to address many of these challenges by providing elastic scalable, customized, and highly available environment. Moreover, it is already adopted and proved to be advantageous for governmental institutions in different countries. By analyzing some cases, this paper extracts the main drivers of cloud computing adoption in the public sector organizations. Cost saving and the need for scalability are the main common factors that drive public sector organizations to move their services to the cloud.
Wind Flow Estimation in Thermal Sky Images for Sun Occlusion Prediction

Moving clouds affect the Global Solar Irradiance (GSI) that reaches the surface of the Earth. As a consequence, the amount of resources available to meet the energy demand in a smart grid powered using Photovoltaic (PV) systems depends on the shadows projected by passing clouds. This research introduces an algorithm for tracking clouds to predict Sun occlusion. Using thermal images of clouds, the algorithm is capable of estimating multiple wind velocity fields with different altitudes, velocity magnitudes and directions.
Use Personas to Boost Your Communications Results

Nonprofit Communications ReportVolume 17, Issue 3 p. 4-4 Know Your Audience Use Personas to Boost Your Communications Results First published: 11 February 2019 https://doi.org/10.1002/npcr.31140Read 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, Issue3March 2019Pages 4-4 RelatedInformation
Usability Evaluation of a Dashboard for Home Care Nurses

CIN: Computers, Informatics, Nursing 37(1):p 55, January 2019. | DOI: 10.1097/01.NCN.0000550700.98276.1c
Administrasi Keuangan

The purpose of managing school finances requires the principal's skills to obtain adequate sources of funds, allocate funds appropriately, properly utilize and account for finances in accordance with applicable laws or regulations, and place treasurers who handle bookkeeping problems and provisions for financial use based on applicable regulations . Financial management is one of the substance of school management that will also determine the course of educational activities in schools. financial management is an act of financial administration / administration which includes recording, planning, implementing, accountability and reporting. Thus, school financial management can be interpreted as a series of activities governing school finance starting from planning, accounting, expenditure, supervision and accountability of school finance. The person responsible for education costs is the principal, however, teachers are expected to play a role in the administration of these costs, although adding to their burdens, also provides an opportunity to participate in directing the funding to improve teaching and learning. Financial administration includes planning, use, data recording, reporting and accountability of funds allocated for the administration of schools.
An Augmented Reality based Learning App

There are so many different types of applications that deal with various sectors of augmented reality, that provides augmented facility for learning. But there is no particular augmented reality software that is designed to detail out information of the interior parts of the human body with its organs, thus we have initiated and designed an augmented reality application that shows all the information and 3D Models about the interior organs of the human body, we need to know about with the help of some special markers present physically in every iconic spot. This information displayed visually is dynamically maintained and also provides the Students with a 3D visual of the Human organs, where the students will be given an application with several pictures for visualizing the 3D model of the organs with its interior parts. This could greatly help the students to gain knowledge about body parts by using mobile phone and also this will help the students to increase their memory power by visualizing them.
Proceedings of the International Conference on Robotics and Artificial Intelligence

Abstract Preface Editors of the Proceedings: Dr.G.Geetha President and CEO Advanced Computing Research Society Chennai, Tamilnadu, India Email – geetha@advancedcomputingresearchsociety.org Dr.Debao Zhou Professor, University of Minnesota Duluth, Minnesota 55812 United States of America Email - dzhou@d.umn.edu Dr.Vincenzo Piuri Professor University of Milan Italy Email - vincenzo.piuri@unimi.it We are honoured and glad to welcome you at the International Conference on Robotics and Artificial Intelligence organised by Advanced Computing Research Society, India. Sharing advanced knowledge on theory, technology, methodology, and applications of robotics and artificial intelligence is essential since they are the basis of innovation in an increasing number of applications areas, from services to e-commerce, from e-government to smart cities, from industry manufacturing to aerospace, from biomedical applications to assisted living, from entertainment to consumer electronics, and many more. They are the foundations on which we can build new products, services, and solutions. List of Committees are available in this pdf.
Software Development: Debugging and Testing

In 2009, Toyota faced allegations that some of its cars had sticky accelerator pedals and, in January 2010, recalled 4.1 million vehicles for repair. The defect was a bug or flaw in the company’s product. We can draw an analogy between Toyota’s product and that of any Internet company. Facebook, Google, and MyAppoly all have and will continue to have bugs, but great teams identify them in the development process before the product is released for customers’ use.
Basketball Tracking using Mean Shift Algorithm

Video analysis plays a vital role in commercial application, sports and military systems. Various methods are presented in literature. Mean shift algorithm is presented in this paper for basket ball tracking because it is more efficient than other that is defined by histograms. The tracking is the important block in the detection and recognition of the basket ball. Different object tracking algorithms are investigated. The performance of tracking in two video sequences is performed and the method gives 91.3% precision for video sequence 1 and 93.6% for sequence 2.
Becoming a Great iOS Developer

Now that you’re ready to become a software developer and have read the introduction of this book, you need to become familiar with several key concepts. Your computer program will do exactly what you tell it to do—no more and no less. It will follow the programming rules that were defined by the operating system and the Swift programming language. Your program doesn’t care if you are having a bad day or how many times you ask it to perform something. Often, what you think you’ve told your program to do and what it actually does are two different things.
Despeckling and Analysing Land Use Land Cover of Synthetic Aperture Radar Image

In Image processing, Synthetic Aperture Radar(SAR) images are inherently affected by speckle noise, which visually degrades the appearance of the images and may severely affect the quality of SAR image interpretation tasks like object detection or target detection, instance segmentation and image analysis. Hence SAR image Despeckling becomes a hot research issue. In this paper, the proposed method Total Variation (TV) Denoising is used to address this issue. It is applied to SAR imagery to decrease the noise. It is a filtering method which works efficiently. The process of decreasing the speckle noise is known as Despeckling. When there is noise in the image the actual data is affected. The actual meaning of noise is unwanted signal. Noise is an undesirable by-product in an image that disturbs the original image. On removal of noise, it results in the noise free SAR image. The Land Use Land Cover (LULC) analysis of a SAR image can be accurate when there is no noise in the SAR image. Therefore the main aim of this paper is to analyze the land use and land cover (LULC) in the despeckled high resolution image.
User Experience Design for Mixed Reality: A Case Study of HoloLens in Museum

In recent years, the applications of mixed reality (MR) processing have become highly apparent in academia and the manufacturing industry with the release of innovative technologies such as the Microsoft HoloLens. However, crucial design issues with the HoloLens' restricted field of view (FOV) to a narrow window of 34 degrees inhibited the user's natural peripheral vision (Kress and Cummings, 2017). This visual limitation results in a loss of pre-set functions and projected visualisations in the AR application window. This paper presents an innovative methodology in designing a spatial user interface (UI), to minimise the adverse effects associated with the HoloLens' narrow FOV. The spatial UI is a crucial element towards developing a museum-based MR system, which was evaluated by nine experts in human-computer interaction (HCI), visual communication and museum studies. Results of this study indicate a positive user reaction towards the accessibility of the spatial UI system and enhancing the user experience. This approach can help current and future HoloLens developers to extend their application functions without visual restrictions and missing content.
Intelligent Banknotes Recognition Based on Support Vector Machine (SVM)

Banknotes recognition is one type of intelligent system that is essential in today's modern world.Yet, it remains as a challenging task as the banknote may suffer from defects and the images are distorted during acquisition, resulting the need for a robust recognition system to mitigate these shortcomings.Additionally, more than 200 different currencies are being used in different countries around the world which might lead to confusion in differentiating these banknotes visually.Thus, this paper proposed a study of intelligent banknotes recognition based on Support Vector Machine (SVM).The main goal of this study is to extract the features of the different types of banknotes for efficient recognition.The color features were extracted using Histogram Equalization (HE) which are Red, Green and Blue (RGB) valuesin analysing the characteristics of five types of banknotes which are 100 Singapore Dollar, 100 Malaysia Ringgit, 100 Nepal Rupee, 100 Bangladesh Taka, and 100 China Yuan.The performance of the proposed study is evaluated to 150 testing images which produced97.33% of overall mean recognition accuracy.It is believed that the study outcome could assist the financial institution particularly to recognize various types of banknotes conveniently and efficiently.
Mobile Game using Hand Gesture

In the modern age, human-computer interaction has become an important part of our lives.Most of the people uses mouse, keyboard or pen to interact with computers, but it will not adequate for them.A mobile game, which named as Flying Wau was developed to make the interaction between computer and human as natural as the interaction between humans.Player need to control the movement of Wau by using hand gesture.Extreme programming is selected as the game methodology.After the requirements were gathered, a prototype has been developed and a field study was carried out for evaluating the usability of the prototype.According to the results of evaluation, most of the respondents are satisfied with the games.However, some gave feedback that it is too difficult to control the Wau.Therefore, it still needs some improvements on the character's movement control to make the game smoother and user friendly.It can be a reference model for developers and researchers in the area to develop similar games or enhancing the capabilities of similar games.
Navigation Properties

In this chapter, I will cover how to map both a one-to-many and a many-to-many entity relationship using Entity Framework Core 5 through using navigation properties. We have already created half of the code to create these relationships earlier in the book when we mapped one-to-many addresses to a person record. I will now show how to complete the one-to-many mapping between Person and Address entities. I will also cover how to add a many-to-many parent/child relationship through navigation properties.
International Conference PhysicA.SPb/2019

The International Conference PhysicA.SPb was held 22-24 October 2019 in Saint-Petersburg, Russia. The Conference continues the tradition of Saint-Petersburg Seminars on Physics and Astronomy originating from mid-90s. Since then PhysicA.SPb maintains both scientific and educational quality of contributions delivered to the audience. This is the main feature of the Conference that makes it possible to combine the whole spectrum of modern Physics and Astronomy within one event. PhysicA.SPb/2019 has brought together over 450 academics from many universities and research institutes across whole Russia as well as from USA, UK, South Africa, Finland, Ukraine, Armenia, Belarus, Azerbaijan, Kazakhstan, Macedonia, Vietnam, Netherlands, Germany and France. Oral and poster presentations were combined into well-defined sections among which one should name Astronomy and Astrophysics, Optics and spectroscopy, Physics of ferroics, Nanostructured and thin-film materials, Mathematical physics and numerical methods, Devices and materials for the THz and microwave ranges, Biophysics, Optoelectronic devices, Surface phenomena, Physics and technology of energy conversion, Plasma physics, hydrodynamics and aerodynamics, Nuclear and elementary particle physics, Impurities and defects in solids, and Physics of quantum structures. This issue of the Journal of Physics: Conference Series presents the extended contributions from participants of PhysicA.SPb/2019 that were peer-reviewed by expert referees through processes administered by the Presiders of the Organising and Program Committees to the best professional and scientific standards. This was made possible by the efforts of the Sectional Editors of this Issue: Prof. Petr Arseev (Lebedev Physical Institute), Prof. Alexander Ivanchik (Ioffe Institute), Prof. Polina Ryabochkina (Ogarev Mordova State University), Prof. Yuri Kusraev (Ioffe Institute), Dr. Sergey Nekrasov (Ioffe Institute), Dr. Nikolay Bert (Ioffe Institute), Dr. Nikita Gordeev (Ioffe Institute), Dr. Alexey Popov (Ioffe Institute), Dr. Prokhor Alekseev (Ioffe Institute), Dr. Mikhail Dunaevskii (Ioffe Institute), Dr. Kirill Zaytsev (Prokhorov General Physics Institute), Dr. Alexandra Kalashnikova (Ioffe Institute) and Prof. Dmitry Khokhlov (Moscow State University). The Editors: Nikita S. Averkiev, Sergey A. Poniaev and Grigorii S. Sokolovskii
PREFACE: Proceedings of the 3<sup>rd</sup> Geoplanning International Conference

3 rd Geoplanning Conference is an international conference covering research and development in the field of applied geomatics’ technologies for spatial planning, including GIS, Remote Sensing, and Satellite Image Processing. Bringing “ Geomatics’ and Spatial Planning in Big Data Era ” as title, the 3 rd International Geoplanning Conference took place in Semarang, Central Java-Indonesia, on 29-30 August, 2018. This Conference held by Diponegoro University in cooperation with Center of Geomatic’s Application for Sustainable Development (Cegas). More than 200 abstract were submitted and after an initial review 87 papers were presented. Through peer review process, more than 40 papers were accepted for publication in the IOP Earth and Environmental Sciences. This Annual Event is addressed jointly to academics and practitioners and provides a forum for a number of perspectives, based on either theoretical analyses or empirical case studies that fosters the dialogue and the exchange of ideas. The Conference offered a number of sessions under its patronage, providing a concise overview of the most current issues and hands-on experience in Geomatics’ and Spatial Planning - related fields: Theme 1: Spatial Modelling Theme 2: GIS Mapping Theme 3: Urban and Regional Planning Theme 4: Remote Sensing and Image Processing We would like to thank all the reviewers for their time and effort in reviewing the documents. The published papers have passed the process of improvement accommodating the discussion during the conference as well as the reviewers’ comments who have guided any necessary improvement. Besides, we would like to thank all members that participated in any way in the 3 rd Geoplanning Conference and especially the sponsors: ÷ Diponegoro University ÷MAPIN (Indonesian Society for Remote Sensing) ÷Technische Universiteit Munchen ÷ETH Zurich ÷Esa Unggul University ÷Enagic Kangen Water Hopefully this proceeding could bring new perspectives in Applied Geomatic’s and Urban Regional Planning. 3 rd Geoplanning Committee
Evalution of Dataminig for Prediction Techniques Based on Weka Tool

Data mining is a famous technological innovation that converts piles of data into beneficial knowledge, which can assist the data proprietors/users make knowledgeable choices and take clever movements for their personal advantage. In unique terms, facts mining looks for hidden patterns amongst widespread sets of data that may assist to apprehend, expect, and guide destiny conduct. A greater technical explanation: information mining is the set of methodologies utilized in reading data from diverse dimensions and perspectives, finding formerly unknown hidden styles, classifying and grouping the information and summarizing the diagnosed relationships. The elements of facts mining consist of extraction, transformation, and loading of data onto the statistics warehouse device, handling information in a multidimensional database gadget, offering get right of entry to to commercial enterprise analysts and it experts, reading the records with the aid of tools, and supplying the data in a useful layout, inclusive of a graph or desk. That is completed with the aid of identifying courting using classes, clusters, associations, and sequential patterns by using the use of statistical analysis, gadget leaning and neural networks
Space Theory

The author introduces a novel theoretical framework that suggests matter and energy are both converted from curved space. In Space Theory, gravitation is generated by the flow of space, instead of being transmitted by the graviton as in String Theory. This theory also suggests that Newton's gravitational constant, denoted as G, may not be truly constant but could vary over time. The equivalent equation of space is S=Ec²=mc⁴ , and the gravitational force formula is S_μν=4πGm=(4/3)π((r+a)³-r³) . The Space Theory also predicts that the surface gravitational acceleration of the neutron star Crab Pulsar (PSR B0531+21) is approximately 8.21924883×10⁶ m/s².
Identity Based Encryption and Identity Based Signature Scheme on Security Schemes

In computer based system, key for the problem of identification, authentication and secrecy can be found in the field of cryptography. Dependence on public key infrastructure and to receive certificates signed by Certificate Authority (CA) to authenticate oneself for exchange of encrypted messages is one of the most significant limitation for the widespread adoption of Public Key Cryptography (PKC) as this process is time engrossing and error prone. Identity based cryptography (IBC) aspires to reduce the certificate and key management overhead of PKC. IBC’s important primordial is Identity-based Encryption (IBE). IBE provided emergent for perception of Identity based signature (IBS) schemes. In this paper, overview of IBE and IBS schemes has been given. Also, a survey on various IBE and IBS schemes has been performed to review different problems related to them. Finally, feasibility and applicability of IBC in current and future environments has been discussed.
Legal regulation of interaction between criminal investigation departments and foreign law enforcement bodies in fighting organized crime

Critical issues related to legal regulation of interaction between criminal investigation departments and foreign law enforcement bodies in fighting organized crime have been discussed, and approaches to the same in the context of operational environment in the Russian Federation have been identified.
Shadow Sort – A Hybrid Non-dominated Sorting Algorithm

No specific data are associated with the work.
Cluster Analysis

This chapter briefly covers the cluster analysis concept in a structured format. In previous chapters, we sufficiently covered supervised learning. In supervised learning, we present a model with a set of correct answers, and then we permit it to predict unseen data. Now, let’s turn our attention a little. Imagine we have data with a set of variables and there is no independent variable of concern. In such a situation, we do not develop any plausible assumptions about a phenomenon.