Reviewerly/exHarmony huggingface dataset:
Maintaining The Teacher’s Performance of Saint Peter Primary School Kelapa Gading Teachers During Home Online Learning Amidst Covid 19 Pandemic

This qualitative research which has purpose to analyze how to maintain teacher’s performance during home online learning is using descriptive analysis method. Saint Peter Primary School has been using Microsoft 365 and Zoom application in all process of teaching learning and interaction between colleagues and all students during the pandemic time. The use of digital application features have been formed the primary basis of school administration which is conducted individually by teacher of Saint Peter Primary School and was monitored by the school principal. This research was conducted by processing the qualitative data obtained from in-depth interview towards informant of school staff and teachers of Saint Peter Primary School. The data collection was conducted through observation, in-depth interview towards informant and so was documentation. The subjects of this research are the school principal and also the teachers. In this qualitative research it is known that teacher’s performance appear in preparing, implementing and assessing the teaching learning with the use of digital applications during the online learning in pandemic time. Despite the all the weakness circumstances of home online learning, it is known that the quality of education is obviously adequate.
Text Recognition with Artificial Neural Networks and OpenCV

Recognizing text in images has received attention recently. Traditional systems during this space have relied on elaborating models incorporating rigorously hand-designed options or giant amounts of previous information. This paper proposed by taking a different route and combines the representational power of large, multilayer neural networks together with recent developments in unsupervised feature learning, which allows us to use a standard framework to coach highly accurate character recognizer and text detector modules. The recognition pipeline of scanning, segmenting, and recognition is examined and delineated completely
Pseudo-Code Attack (PCA) in Software Engineering

Software development has been more important in recent technological advancements in both hardware and software. The creation of scripting languages is critical to the development of software. The development of programming languages is applicable to software metric calculations such as line of code, code minimization, re-usability, and so on. Various attacks may be carried out during the metric computation phases in order to decrease the model parameters and delay the software package offering. Many attacks in networks have been discovered and avoided; this Pseudo-code assault is a new technique for boosting metric estimation in software development. This article suggested a method for introducing the Pseudo-code threat and detecting the presence of the Pseudo-code assault in the code base. Estimated size and duration are key quality assurance metrics in software development process. Software quality is measured by the average time between failures and the number of defects per line of code.
Self-Esteem Anak Sekolah Dasar dengan Disleksia

Dyslexia is the most common specific learning disorder. Around 5% - 15% of elementary school students have dyslexia (APA,2013). Children with dyslexia might appear different at school and tend to get lower academic scores in comparison with theirpeers. Hence, this may increase the possibility for the children with dyslexia to have low self-esteem (Mash &amp; Wolfe, 2016)because their peers’ opinions about them play an important role in affecting their self-esteem (Veenstra et al., 2007, dalamTaylor, Hume, &amp; Welsh, 2010). The aim of this study is to give a representation about the effect of dyslexia to the self-esteemof elementary school students with the expectance to increase the awareness to detect and give early intervention to dyslexicchildren. The research method is literature review using articles obtained online from several databases. There were 5 selectedresearch articles with the criteria of the participants in the study aged between 6 – 12 years old, and the used the instrumentsto measure specific learning disorder and also self-esteem. The result of this literature review shows that dyslexia can affectthe self-esteem of elementary school students.
Multi Terrain surveillance Drone

The purpose of this research paper is to design a drone which can move autonomously in a fixed predetermined route or by using radio waves through any environment. Various drones are available nowadays which differ in size, color and properties. Unmanned aerial vehicles have gained wide popularity over decades and are used extensively for several applications. The main feature of this drone is that it does not require any additional infrastructure to quickly register and monitor the object. The major motive is to get accuracy in rescue missions for accidents occurring at higher terrain as well as underwater. The main uniqueness is that it can move through air and water. An efficient algorithm is incorporated to reduce the complexity. The drone’s database is developed using artificial intelligence which helps in faster recognition of the object.
Development of an algorithm for object access system automation based on face recognition using a neural network

The article deals with the technical side of face recognition — the neural network. The advantages of the neural network for identification of the person are substantiated, the stages of comparison of two images are considered. The first step is defined as the face search in the photo. Using several tests, the best neural network was identified, which allowed to effectively obtain a normalized image of a person’s face. The second step is to find the features of the person, for which the comparative analysis is performed. It was this stage that became the main point in this article — 16 sets of tests were carried out, each test set has 12 tests inside. Two large datasets were used for the study to evaluate the effectiveness of the algorithms not only in ideal circumstances but also in the field. The results of the study allowed us to determine the best method and neural model for finding a face and dividing it into parts. It is determined which part of the face the algorithm recognizes best — it will allow making adjustments to the location of the camera.
The practice of lullaby as a tool for correcting the emotional state of the child

The article presents the practice of lullaby. Using certain strategies (motion, singing lullabies, telling fairy tales), it is possible to restore the tempo rhythm and replenish the natural infant ontogenesis.
Preface

Physics and Mathematics, the foundation of natural science, always play as the most important role in the modern research. The overarching goal of this ICPEM 2020 is to offer a powerful platform for all participants, to introduce the domestic and foreign newest achievements of physics science and engineering technology, focus on accelerating and improving the development of the applied physics, examining the depth of their impact on experiment, methods and concepts, share the directions for new innovative business and core technology, and continues to meet both requirements and challenges through continual technology advancement and innovation from the latest research. This First Edition Proceeding of ICPEM 2020 contains the peer-reviewed scientific contributions presented at the 2020 Online International Conference on Physics and Engineering Mathematics (7 th -8 th November 2020, Beijing, China), which not only covers the particular issues for the physics sciences but also reflect its impact on its related studies. This volume will be of interest to academics, professionals, engineers and students, who involves in the development of physics sciences, engineering mathematics. Under a strict peer-review process by experts and reviewers, the general acceptance rate is about 42%, we received over 123 submissions, and 52 papers have been accepted by our reviewers and guest editors and finally collected in the ICPEM First Edition Proceeding, which includes recent accomplishments in a number of areas about Applied Physics and Engineering Mathematics. The application field ranges from manufacturing industry to daily life. Finally, we hope this collection can enhance the understanding of physics sciences and encourage more applications and creations. We appreciate all participants and speakers who presented at ICPEM Online conference at this special year; meanwhile, we look forward to a more successful conference next year. Dr. Changbo Cheng Hubei Zhongke Research Institute of Nature Science, China Nov. 7 2020
CRYPTOGRAPHY

The word cryptography was coined from two Greek words ‘Krypto’, meaning hidden and ‘graphein’ meaning writing. Thus, cryptography means hidden writing. Cryptography is the method of protecting important data and information from third parties called adversaries or the public. It is also known as encryption. Modern cryptography is basically based on Mathematics and Computer science. The roots of cryptography are found in Roman and Egyptian civilizations. Hieroglyph is the oldest cryptographic technique. Based on security needs and threats, various cryptographic methods such as symmetric key cryptography, public key, private key, microdots, etc are adopted [1]. It is a two step process; encryption and decryption. The encryption process uses a cipher (code) in order to encrypt plaintext and convert it into ciphertext. Decryption is the opposite of encryption that is to decode the encrypted message or information. Cryptography was used extensively in the American Revolutionary War, the First World War and the Second World War. For example if the code was ‘CVVCEM’ then it would mean ‘ATTACK’. The initials of each letter is shifted by two places. This paper is basically a survey paper and we have studied the importance, features, advantages, and disadvantages and authenticated on the topic cryptography. Note: This paper is a REVIEW PAPER .
Expression of concern: Quantum correlations are weaved by the spinors of the Euclidean primitives

Open AccessMoreSectionsView PDF ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinked InRedditEmail Cite this article The Royal Society Open Science Editorial Team 2019Expression of concern: Quantum correlations are weaved by the spinors of the Euclidean primitivesR. Soc. open sci.6190530190530http://doi.org/10.1098/rsos.190530SectionOpen AccessExpression of concernExpression of concern: Quantum correlations are weaved by the spinors of the Euclidean primitives The Royal Society Open Science Editorial Team Google Scholar Find this author on PubMed Search for more papers by this author The Royal Society Open Science Editorial Team Google Scholar Find this author on PubMed Search for more papers by this author Published:10 April 2019https://doi.org/10.1098/rsos.190530is companion ofResearch ArticleQuantum correlations are weaved by the spinors of the Euclidean primitiveshttps://doi.org/10.1098/rsos.180526 Joy Christian volume 5issue 5Royal Society Open Science30 May 2018This article comments on the followingExpression-of-concernExpression of Concern following post-publication assessment of Quantum correlations are weaved by the spinors of the Euclidean primitiveshttps://doi.org/10.1098/rsos.201777 The Royal Society Open Science Editorial Team volume 7issue 10Royal Society Open Science21 October 2020R. Soc. open sci.5, 180526 Published Online 30 May 2018 (doi:10.1098/rsos.180526)Following the publication of ‘Quantum correlations are weaved by the spinors of the Euclidean primitives’ R. Soc. open sci.5, 180526 published 30 May 2018 (http://dx.doi.org/10.1098/rsos.180526), it has been brought to the attention of the Editorial team that there are concerns regarding this study.A number of readers have written privately via email and also in extensive public correspondence, which is available via the ‘Comments’ section of the original article, raising a number of concerns regarding fundamental aspects of the work.An investigation into these aspects is under way, and the journal is therefore issuing an expression of concern and will notify readers as to the results of our investigation as soon as possible. Comments Please enable JavaScript to view the comments powered by Disqus. Previous Article VIEW FULL TEXT DOWNLOAD PDF FiguresRelatedReferencesDetailsRelated articlesQuantum correlations are weaved by the spinors of the Euclidean primitives30 May 2018Royal Society Open ScienceExpression of Concern following post-publication assessment of Quantum correlations are weaved by the spinors of the Euclidean primitives21 October 2020Royal Society Open Science This IssueApril 2019Volume 6Issue 4 Article InformationPubMed:31183156Published by:Royal SocietyOnline ISSN:2054-5703History: Published online10/04/2019 License:© 2019 The Authors.Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. Citations and impact Subjectsquantum engineeringquantum physics
Pose-Aware Embedding Networks and Multi-Modal Image-Language Retrieval

&lt;p&gt;Inspired by recent work in human pose metric learning this thesis explores a family of pose-aware embedding networks designed for the purpose of image similarity retrieval. Circumventing the need for direct human joint localization, a series of CNN embedding networks are trained to respect a variety of Euclidean and language-primitive metric spaces. Querying with imagery alone presents certain limitations and thus this thesis proposes a multi-modal image-language embedding space, extending the current model to allow for language-primitive queries. This additional language mode provides the benefit of improving retrieval quality by 3% to 14% under the hit@k metric. Finally, two approaches are constructed to address the issues of conducting partial language-primitive queries, with the former generating maximally likely descriptors and the latter exploiting the network’s tendency to factorize the embedding space into (mostly) linearly separable sub-spaces. These two approaches improve upon recall by 13% and 17% over the provided baselines.&lt;/p&gt;
RK algorithm: stochastic parallel methodology for symmetric key cryptography

With the enormous growth in the Internet and network, data security has become an inevitable concern forany organization. From antecedent security has attracted considerable attention from network researchers. In thisperspective many possible fields of endeavour come to mind with many cryptographic algorithms in a broader way,each is highly worthy and lengthy. As society is moving towards digital information age we necessitate highlystandard algorithms which compute faster when data size is of wide range or scope. On survey, numerous sequentialapproaches carried out by symmetric key algorithms on 128 bits as block size are ascertained to be highly insecurable and resulting at a low speed. As in the course the commodities are immensely parallelized on multi coreprocessors to solve computational problems, in accordance with, propound parallel symmetric key based algorithmsto encrypt/decrypt large data for secure conveyance. The algorithm is aimed to prevail by considering 64 character(512 bits) plain text data, processed 16 characters separately by applying parallelism and finally combine each 16-character cipher data to form 64-character cipher text. The round function employed in the algorithm is verycomplex, on which improves efficacy.
Formation of students’ readiness to create an artistic image while performing a story-themed composition

В. А. Варданян, И. В. Хомякова, И
Copy-Move Forgery Detection in Digital Images using Neural Network

Due to easy availability of image editing software applications, many of the digital images are tempered, either to hide some important facts of the image or just to enhance the image. Hence, the integrity of the image is compromised. Thus, in order to preserve the authenticity of an image, it is necessary to develop some algorithms to detect counterfeit parts of an image, if there is any. Two kinds of classic methods exist for the detection of forgery: the key- point based method in which major key points of the image is found and forged part is detected and the block based method that locates the forged part by sectioning the whole image into blocks. Unlike these two classic methods that require multiple stages, our proposed CNN solution provides better image forgery detection. Our experimental results revealed a better forgery detection performance than any other classic approaches.
Feature Extraction and Content Based Image Retrieval for High Resolution Remote Sensing Images

These are the days where we are very rich in information and poor in data. This is very true in case of image data. Whether it is the case of normal images or satellite images, the image collection is very huge but utilizing those images is of least concern. Extracting features from big images is a very challenging and compute intensive task but if we realize it, it will be very fruitful. CBIR (Content Based Image Retrieval) when used with HRRS (High Resolution Remote Sensing) images will yield with effective data.
Integrated Mobile Learning Platform: Content, Delivery, and Experience - Five Years of Experiences from a Professional Graduate Program

He teaches graduate and undergraduate courses in Industrial Distribution and manages the Master of Industrial Distribution (MID) program, one of the
Sparse Signal Decomposition Techniques For Multimedia Fingerprinting

This dissertation focuses on digital multimedia content protection from the copyright point of view. Several approaches aiming to resolve the challenge to some extent in the emerging area of multimedia protection were proposed and studied. This study proposes an approach to secure the authorized media sharing in Peer-to-Peer (P2P) networks. The P2P networks was initially designed for bandwidth saving, but its file sharing property was later on put to use for pirate. This situation has not been improved effectively until now. The approach aims to embed an unique-mark (fingerprint) into each authorized copy in the P2P networks so that it can be used to track the pirate initiator. This study also proposes another scheme for protecting the ownership of digital media files that have been circulated without copyright mark embedded. To protect this type of files, the ownership of each file needs to be stored associated with its meta-data (such as the ownership, title and artist) and can be identified correctly later on. Since the size and the number of the media files to be stored are extremely large, the mini versions (fingerprints) of the files become necessary to be derived. The common criteria of designing these two approaches are to ensure the fingerprint is compact, robust, discriminative, and ease of computation. To well balance the criteria, the sparse decomposition techniques play a very important role. The results of the tests under various distortions show the proposed fingerprinting schemes are very promising for real applications.
Development of an Environmental Curriculum Model Based on Self-Management in High School: A Qualitative Study

Development of an Environmental Curriculum Model Based on Self-Management in High School: A Qualitative Study
Sunflower Mimic Robot for Development of Dual Axis Solar Tracking System

This Today's world depends upon utilization of some form of energy. Be it use of mobiles, vehicles, power supply in houses etc., everything functions on the basis of energy input. The use of energy derived from fossil fuels began in early 1800 and is used till date. In the current theme that calls for saving energy and reducing pollution, it’s undoubtedly of great significance to make full use of solar energy. The solar panel system sprouted with the use of a simple magnifying glass to concentrate solar energy which has now revolutionized by using a much higher solar panel system. The framework consists of webcam, electronic circuit, Microprocessor and two DC motors. This solar tracking system is autonomous, dual axis and hybrid type. This tracking system is camera-based and can track the sun continuously. By using Region of Interest algorithm, we can get the sun coordinates from the frame. These values are sent to the microcontroller to actuate the motors and reposition the panel. This framework works free of its primary settings and can be utilized in any geological area. It holds the solar panel opposite to illumination of sun to get the most extreme solar energy and hence produce most effective power yield for the duration of the day. This study yields an output of up to 2-3% increase from a stationary solar panel.
The Barricade for the Fluent Function of Businesses using Artificial Intelligence

With the development of artificial intelligence which has been a great contribution to a great extent for operating the work without any difficulty. This creates great attention for many researchers and practitioners to implement artificial intelligence in the required fields of works.In this paper, we bring out the systematic review of the barricade of business when using artificial intelligence. It is acceptable that artificial intelligence can contribute to a large extent in making the business operations meeting the speed expected by the customer. Many businesses have extended their methods of operations in the market by bringing in artificial intelligence. In every business, there is always a mishappening which can hamper the function of the organization. Some of the mishaps will be discussed in this paper and also the findings and suggestions for these mishaps shall be discussed for future research(Burta, 2018)(Duan, Edwards, &amp; Dwivedi, 2019).
ANALYSIS OF VHR IMAGE CLASSIFICATION BY SINGLE AND ENSEMBLE OF CLASSIFIERS

Abstract. Given the wide variety of image classifiers available nowadays, some questions remain about the accuracy and processing time of Very High Resolution (VHR) images. Another question concerns the use of a Single or Ensemble Classifiers. Of course, the main factor to consider is the quality of the classified image, but computational cost is also important, especially in applications that require real-time processing. Given this scenario, this paper aims to relate the accuracy of seven single classifiers and the ensemble of the same classifiers with the processing time. In this paper the ensemble of classifiers had the best results in terms of accuracy, however, it comes to processing time, the decision tree had the best performance.
SHOLOM-ALEICHEM REGIONAL MUSEUM AND LIBRARY AS AN OBJECT OF REGIONAL CULTURAL HERITAGE

The article tells the readers about the history of one of the first stone buildings in Birobidzhan – the Sholom Aleichem Regional Universal Scientific Library, which is associated with the cultural construction of the Jewish Autonomous Region.
review for HESS-2019-187

This manuscript uses remotely sensed data products to help evaluate the role of evapotranspiration (ET) in the recession of Lake Poopo.The trends of precipitation, ET, and the normalized difference vegetation index (NDVI) were carefully analyzed, and it was found that ET was not the main contributor for this change.However, there is a lack of further analysis about the causes, while the vegetation trend has been given more attention than necessary.2) Earlier in the manuscript, it was assumed that ET losses have increased due to