Reviewerly/exHarmony huggingface dataset:
Efficient Steganography Scheme for Color Images based on Wavelets and Chaotic Maps

In this paper, a combination of spatial domain as well as transformation domain with the aid of chaotic sequences is used to propose an efficient steganography scheme for color images. The transform domain uses Discrete Wavelet Transform (DWT) for embedding the cover and secret images. Chaotic sequences are used for two purposes: first, to scramble the secret color image before hiding. Second, to randomly select the locations of the cover image for embedding. The two images are then merged together into a single image and the stego image is formed by applying IDWT. The secret image is extracted from the stego image without the need to the original cover image. The simulation results are evaluated in terms of Mean Square Error (MSE), correlation, and Peak Signal to Noise Ratio (PSNR) demonstrate that the proposed scheme has better robustness than the previous schemes in the literature in the presence of common image attacks including filtering and noise attacks. The obtained results for maximum PSNR and correlation were 76.8 dB and 99.99% for the stego image while for the extracted secret image were 55.4 dB and 100%.
Collaborative virtual reality application for interior design

&lt;p&gt;Virtual Reality (VR) is currently popular technology that has been used by people in various areas such as architecture, medical, training and many more. In this paper, the researcher proposed collaborative VR for interior design that allows customer and designer work together at different location. Commonly, the designer draw their design in two-dimensional (2D) graphics at the drawing paper and presents to the customer. However, 2D drawings led to an ambiguity, indistrinct and uncertainty on the design. In addition, redesign any changes lead to re-build the prototype. These will be costly and wasting time, therefore, researcher proposed collaborative VR application which provide an intense feelings about the design which is presented in form of three-dimensional (3D) graphics. Additionally, proposed application would allow the designer and customer to work in real-time. In conclusion, collaborative VR will give the benefits for interior design manufacturing to prosper along with current technology.&lt;/p&gt;
Correction to: Open research data, an archival challenge?

In the original publication of the article, the third sentence in the third paragraph under the section “Methods” was incorrect. The correct sentence should read as given below.
Age-group Classification Using 3DHOG Descriptor Applied to Depth Maps

Age estimation has lots of real-world applications, such as security control, biometrics, customer relationship management, entertainment and cosmetology. In fact, facial age estimation has gained wide popularity in recent years. Despite numerous research efforts and advances in the last decade, traditional human age-group recognition with the sequence of 2D color images is still a challenging problem. The goal of this work is to recognize human age-group only using depth maps without additional joints information. As a practical solution, we present a novel representation of global appearance of aging-effect such as wrinkles’ depth. The proposed framework relay, first-of-all, on an extended version of Viola-Jones algorithm for face and region of interest (most affected by aging) extraction. Then, the 3D histogram of oriented gradients is used to describe local appearances and shapes of the depth map, for more compact and discriminative aging effect representation. The presented method has been compared with the state-of-the-art 2D-approaches on public datasets. The experimental results demonstrate that our approach achieves a better and more stable performances.
PENINGKATAN KEMAMPUAN GURU DALAM PENGELOLAAN KELAS MELALUI ACTIVE KNOWLEDGE SHARING SD NEGERI 1 WONOKARTO TAHUN PELAJARAN 2019/2020

This study aims to improve the ability of teachers in Wonokarto Public Elementary School 2019/2020 Academic Year in classroom management through the application of active knowledge sharing.The study used a School Action Research (PTS) design which was carried out in 2 (two) cycles, carried out in SD Negeri 1 Wonokarto with the research subjects being all SD Negeri 1 Wonokarto teachers in 2019/2020 Academic Year totaling
DUES-Adapt

Developers spend a great deal of time to adapt UI to different devices. By learning experience from massive number of human designed UI products, the adaptation work could be finished by machines. To this end, we introduce DUES-Adapt, an AI based UI adaptation system, and showcase in this demonstration. Given an input UI, DUES-Adapt parses the basic UI elements and employs the parsing results to generate a reasonable and aesthetic layout for a target device. The two AI problems, UI parsing and layout generation, are solved using deep neural network model and trained with over 10K app instances collected from mainstream Android markets. In the demonstration, we show a number of cases covering many apps like music, maps, fitness and different target terminals such as tablet, smartwatch, TV etc.
LAYLA MAJNUN: LITERATURE PSYCHOLOGICAL STUDY

Novel works usually raise various phenomena that occur in the community. These interesting works can influence the soul of the reader so that they can dive in and appear to be present in the story. In literary psychology,novel is Laila Majnun's very appropriate to study because it can see the psychological phenomenon experienced by the main character of the story, Layla and Majnun. The method used in this research is descriptive qualitative method. Representation of human behavior seen through the figures Majnun, Layla, and Syed Omri who experienced chronic frustration, so that ended in death.
Philosophical problems of transformation of media space under the influence of digital technologies

The article analyzes the main socio-philosophical problems of the transformation of modern global media in the development of information and communication technologies, which involves the active emergence of new generation communication channels. The main factors substantiating the process of intensive structural and functional transformation of the entire media system are disclosed. Various approaches to the definition of the concept of "media space" are analyzed. The main features of modern media space as such and media space in its connection with social space are determined. It is proved that the development and transformation of media is carried out under the influence of new technological trends, which determine the main vector of development of society as a whole. Analyzing the main technological trends of the near future, a forecast is provided on how the media space and society are being transformed, in particular, attention is focused on the emergence of cyberspace with elements of virtual and augmented reality, as well as artificial intelligence as new interactive types of media.Particular attention in this publication is given to the problem of the creation and functioning of artificial intelligence. It is considered that the problem of artificial intelligence in modern science has embraced a wide range of studies. Modern philosophical reflections on artificial intelligence represent a wide problem field that is constantly changing and refined, and in the context of artificial intelligence, not only problems such as the prospects of self-organizing computer systems are studied, but also the ethical aspects of the application of artificial intelligence technologies. It is noted that an understanding of the concept of artificial intelligence does not exist today, and therefore further reflections on it can not only specify these areas of research, but also radically change the currently prevailing idea of the possibility and potential of artificial intelligence.
Communication And Time In The Philosophy Of Music A. Losev

The issue of the article is the analysis of time as the human world's universal constant. It is interpreted through the philosophy of music, particularly via Alexei Losev's philosophy, where he suggests that music be understood as expression of "the becoming" of the number, eidos and time. Philosophical, communicative and notional grounds of time within culture are considered. Philosophy of life, phenomenology, existential ontology and hermeneutics make a theoretical basis of the research. The category of time remains universally meaningful today. Any communicative strategies, from social forms of organizing labor and rest to technological strategies targeted to organize time (even including certain attempts to stop it), are implemented through time. As a resource, time thereby becomes a projective tool that allows us to recreate the existing world and to attach value to it through the feeling of the finitude of being, as well as strives to eternalize it in socially important forms, e. g. in art. Expressed through the connection of number and time, music acts as some specific symbol, in which, firstly, its structure is fixed, meeting the composer's idea, and secondly, his non-verbal feelings and thoughts, together with the value orientation of his epoch, tend to revive in music in the course of its performance. Thus, music represents a unique experience of being a message from the past, which demonstrates an informational resource in its symbolic meaning.
DWT-LBP Descriptors for Chest X-Ray View Classification

In this paper, we have attempted the problem of chest X ray Image view classification. To do this, we have applied three steps pre-processing, feature computation and classification. Image enhancement based on histogram equalization is carried out in pre-processing. For computing the features hybrid method based on Discrete Wavelet Transform and Uniform Local Binary Pattern is developed and SVM used for classification. We have got encouraging results on NIH dataset with accuracy of 98.00% using 10 fold cross validation.
Olena Marchenko. Communicative strategies for the development of the educational space in the context of becoming an information society

fessional groups of legal professionals and with gender are analyzed.It is established that every profession, in addition to physical and psychological characteristics, has at its core personal qualities that contribute to a successful human activity.First of all, it should be attributed to professions where the object of professional activity is another person and their interaction depends on the qualities of each.It is emphasized that, in addition to professional qualities, a lawyer in the field of law has personal properties, one of which is anticipation, which is an integrative property, the degree, depth and manifestation of which depend on its level.An empirical study of legal practitioners' foresight has identified the most important links between mutual expectation parameters and expectation parameters with predictive behavior strategies.Gender differences of legal professionals have been identified, namely that men tend to be more "Reflexive", "Strategic Planning" and "Preventive" than women.Women are less likely to build a clear plan with a hierarchy of goals, assess possible stressors and potential problems, with predictable outcomes and prepare actions to counteract these stressors and problems.
COMMUNICATIVE ILLOCUTIONARY ACT ON STUDENTS’ CONVERSATION VIDEO IN ONE OF THE ENGLISH COURSES IN BANDUNG

Speech acts are divided into three categories – locutionary, illocutionary, and perlocutionary. Each speech act can be investigated based on the researcher’s need what it is done in this research purpose of this study aiming to find out the context meaning of communicative illocutionary act categories on students’ conversation video. The spirit of the speech act can be called as illocutionary which becomes a central concept. Regarding to the definition of speech acts, several numerous options related to illocutionary have some kinds of acts such as promising, ordering, and bequeathing. This research uses Austin’s book as a grant theory strengthened by Yule. This research result is the researcher has found communicative illocutionary acts on students’ conversation video including constatives, directives, commissives, and acknowledgments.Keywords: Illocutionary, constative, directives, commissives, acknowledgments
The GraphNet Zoo: A Plug-and-Play Framework for Deep Semi-Supervised Classification.

We consider the problem of classifying a medical image dataset when we have alimited amounts of labels. This is very common yet challenging setting aslabelled data is expensive, time consuming to collect and may require expertknowledge. The current classification go-to of deep supervised learning isunable to cope with such a problem setup. However, using semi-supervisedlearning, one can produce accurate classifications using a significantlyreduced amount of labelled data. Therefore, semi-supervised learning isperfectly suited for medical image classification. However, there has almostbeen no uptake of semi-supervised methods in the medical domain. In this work,we propose a plug-and-play framework for deep semi-supervised classificationfocusing on graph based approaches, which up to our knowledge it is the firsttime that an approach with minimal labels has been shown to such anunprecedented scale. We introduce the concept of hybrid models by defining aclassifier as a combination between a model-based functional and a deep net. Wedemonstrate, through extensive numerical comparisons, that our approach readilycompete with fully-supervised state-of-the-art techniques for the applicationsof Malaria Cells, Mammograms and Chest X-ray classification whilst using farfewer labels.
KEEFEKTIFAN MODEL PEMBELAJARAN KOOPERATIF TIPE CONCEPT SENTENCE BERBANTUAN MEDIA ROLL THE CAN TERHADAP KETERAMPILAN BERPIKIR KREATIF DALAM MENULIS KARANGAN NARASI

This research was done for to find out the effectiveness of cooperative learning model type concept sentence helps the media roll the can in learning writing a narrative. The purpose of this study was to find the effectiveness and difference of cooperative learning model type concept sentence helps the media roll the can in improving creative thinking skills in writing narrative between the use of cooperative sentence model type concept sentence helps the media roll the can with conventional model. The research method used in this study is the experimental method. Reseacrh done, that is (1) cooperative learning model type concept sentence helps the media roll the can is effective in learning the creative thinking skills in writing narrative with average pretest of 35,2 while the average posttest is 49.3 higher than the control class. In the control class the average score pretest 30.5 while the posttest average 37.3 is still lower than the experimental class. (2) there is a difference in creative thinking skills in writing narrative by using cooperative learning model type concept sentence helps the media roll the can with conventional models. The results of the independent samples t-test on the posstest value indicate the value of sig. (2-tailed) of 0.00 (p&lt;0.05). The conclusion of this study is the cooperative learning model type concept sentence heps the media roll the can improve creative thinking skills in writing narrative.
Learning Media Based on Website Development of Courses in Patisserie Culinary Student of FT Unimed

This research aims: to develop a website-based patisserie learning as an independent media learning media for UNIMED Culinary Students Study Program.Research located in the Laboratory of Culinary Education, Universitas Negeri Medan
Using Format Migration and Preservation Metadata to Support Digital Preservation of Scientific Data

With the development of e-Science and data intensive scientific discovery, it needs to ensure scientific data available for the long-term, with the goal that the valuable scientific data should be discovered and re-used for downstream investigations, either alone, or in combination with newly generated data. As such, the preservation of scientific data enables that not only might experiment be reproducible and verifiable, but also new questions can be raised by other scientists to promote research and innovation. In this paper, we focus on the two main problems of digital preservation that are format migration and preservation metadata. Format migration includes both format verification and object transformation. The system architecture of format migration and preservation metadata is presented, mapping rules of object transformation are analyzed, data fixity and integrity and authenticity, digital signature and so on are discussed and an example is shown in detail.
A Comparative Analysis of Crime Stories Published in leading English Newspapers of Delhi Edition

With the boom in media industry in India, News has become a product to be consumed by the readers and viewers and, thus, sold in terms of attracting revenue by boosting circulation and rating than providing pure information to aware the mass and empower people.In most cases, news is determined on the basis of public craze, not requirement.This fact of Indian journalism has led to over emphasis on Sensational, Political and Crime Reporting.Today, Crime reports have taken a major place in Newspapers.Because of the immense popularity of crime as a topic of news, there has been no shortage of research on how crime is covered by the media.The present study examines crime news coverage in the leading English Newspapers.The national dailies have been examined against the backcloth of Indian culture and social settings.Comparative analysis was followed to study the objectives and hypothesis.Some prominent facts came into light through this research like Hindustan Times had covered more number of stories by giving maximum coverage to the crime news than the other national dailies while in The Times of India, maximum stories related to terrorism were published.Overall the study tried to analyze the crime reporting in English newspapers through comparative analysis.
The Linguistic Perspectives on Computer Mediated Communication

This paper aims to explore the role of production and perception constraints in computer mediated communication. I review Lindblom's (1990) theory of phonetic variation and propose a new model of linguistic production in Computer Mediated Communication. Cyber citizens use cyber communication as conceptually oral, medially written. The reason to use chat-mode is that it saves time and space (the principle of least effort); here sound, not spelling, is the first thing to be considered. With respect to production in the proposed model, effort is no longer equated with articulatory movement, but rather with the number of keystrokes involved in typing an utterance. On discussing online, discussants show paralinguistic actions such as smile, frown, screaming, etc., and they also reduplicate writings, capitalize all the sentences, and use emoticons; net-communication is headed toward less grammatical and more telegraphic type. The production of hyper-and hypo-forms such as reduplication, punctuation and capitalization will vary according to the sender's estimation of signal-complementary processes and his attempts to compensate for the restricted context.We discuss online and off line on the issues; why we like cyber communication and how we classify the phenomena. The more computer mediated communications we use, the moreissues we have to review beyond words and linguistic principles.
Motion Monitoring for Limb Exercise

In this paper, we proposed a motion monitoring strategy for limb exercise. The proposed strategy combines three important elements of limb motion: the motion pattern, the number of repetitions, and the period of each repetition. Two methods are adopted to recognize the motion pattern: support vector machine and MoveNet, which is a deep neural network we proposed base on CNN and LSTM. A method combining zero-crossing detection and wavelet transform is used to count the number of repetitions and analyze the period of each repetition. The experimental results illustrate that the precision of workout-action identification is up to 97.71%, and the average error between the period calculated and the actual value is 4.03%.
HYBRID ALGORITHM FOR UNDERWATER IMAGE ENHANCEMENT

AsComputer & Internet Proliferation is encompassing every aspect of human life, the data collected by computer systems is growing rapidly.Traditional methods of data access cannot be used efficiently on large data, thus data mining is one of the most sought areas of research in computer sciences.With the growing data, requirement of anytime anywhere access to data, cloud data storage is gaining unprecedented popularity.Security & Privacy of user data stored in cloud services is of utmost concern especially for commercial public cloud platforms & service providers.The user data stored on cloud is encrypted, & it is desired that data mining operations on encrypted data must be executed efficiently.The proposed system implements a data mining operation namely clustering on encrypted data on cloud platforms using TCP / IP protocol.The clustering operation is performed using standard K-Nearest Neighbors technique & DBSCAN clustering technique optimized for encrypted data.
Tackling the Big Projects

Everyone who works with library technology sooner or later finds they are faced with a major project to tackle. Sometimes we contract with a vendor to do the bulk of the work, sometimes we do the project ourselves. This article reviews the advantages and disadvantages to both methods.
Separate Answer Decoding for Multi-class Question Generation

Question Generation (QG) aims to automati-nerate questions by understanding the semantics of source sentences and target answers. Learning to generate diverse questions for one source sentence with different target answers is important for the QG task. Despite of the success of existing state-of-the-art approaches, they are designed to merely generate a unique question for a source sentence. The diversity of answers fail to be considered in the research activities. In this paper, we present a novel QG model. It is designed to generate different questions toward a source sentence on the condition that different answers are regarded as the targets. Pointer-Generator Network(PGN) is used as the basic architecture. On the basis, a separate answer encoder is integrated into PGN to regulate the question generating process, which enables the generator to be sensitive to attentive target answers. To ease the reading, we name our model as APGN for short in the following sections of the paper. Experimental results show that APGN outperforms the state-of-the-art on SQuAD split-l dataset. Besides, it is also proven that our model effectively improves the accuracy of question word prediction, which leads to the generation of appropriate questions.
La vita privata nel racconto pubblico. Lettere di siciliani dalla Grande Guerra

The present study deals with the public use of private writings during the First World War through the analysis of some epistolary testimonies dating back to a period ranging from 1915 to 1917.
Mixed Heuristic Algorithm As String Matching For Search Document

The computer provides document search based on the document file title.So this makes it difficult for users to find documents, if the user forgets the file title of the document.String matching algorithm is the basic component for data searching.Search engine requires an algorithm that can work quickly and can sort the documents according to the level of compatibility.One of the algorithms that match is the Mixed Heuristic.These algorithms perform a search pattern or query not just against a word, but can be a sentence of more than one word.In addition, these algorithms also perform ranking of relevant documents.This paper shows the analysis of the level of accuracy using precision and recall of the results given by search engines by using the Mixed Heuristic algorithms for string matching, and the analysis of documents from the results given by search engines.