Reviewerly/exHarmony huggingface dataset:
Multipoint-Interconnected Quantum Communication Networks

As quantum computers with sufficient computational power are becoming mature, the security of classical communication and cryptography may compromise, which is based on the mathematical complexity. Quantum communication technology is a promising solution to secure communication based on quantum mechanics. To meet the secure communication requirements of multiple users, multipoint-interconnected quantum communication networks are specified, including quantum key distribution networks and quantum teleportation networks. The enabling technologies for quantum communication are the important bases for multipoint-interconnected quantum communication networks. To achieve the better connection, resource utilization, and resilience of multipoint-interconnected quantum communication networks, the efficient network architecture and optimization methods are summarized, and open issues in quantum communication networks are discussed.
Provable randomized rounding for minimum-similarity diversification

When searching for information in a data collection, we are often interested not only in finding relevant items, but also in assembling a diverse set, so as to explore different concepts that are present in the data. This problem has been researched extensively. However, finding a set of items with minimal pairwise similarities can be computationally challenging, and most existing works striving for quality guarantees assume that item relatedness is measured by a distance function. Given the widespread use of similarity functions in many domains, we believe this to be an important gap in the literature. In this paper we study the problem of finding a diverse set of items, when item relatedness is measured by a similarity function. We formulate the diversification task using a flexible, broadly applicable minimization objective, consisting of the sum of pairwise similarities of the selected items and a relevance penalty term. To find good solutions we adopt a randomized rounding strategy, which is challenging to analyze because of the cardinality constraint present in our formulation. Even though this obstacle can be overcome using dependent rounding, we show that it is possible to obtain provably good solutions using an independent approach, which is faster, simpler to implement and completely parallelizable. Our analysis relies on a novel bound for the ratio of Poisson-Binomial densities, which is of independent interest and has potential implications for other combinatorial-optimization problems. We leverage this result to design an efficient randomized algorithm that provides a lower-order additive approximation guarantee. We validate our method using several benchmark datasets, and show that it consistently outperforms the greedy approaches that are commonly used in the literature.
A new function of stereo matching algorithm based on hybrid convolutional neural network

This paper proposes a new hybrid method between the learning-based and handcrafted methods for a stereo matching algorithm. The main purpose of the stereo matching algorithm is to produce a disparity map. This map is essential for many applications, including three-dimensional (3D) reconstruction. The raw disparity map computed by a convolutional neural network (CNN) is still prone to errors in the low texture region. The algorithm is set to improve the matching cost computation stage with hybrid CNN-based combined with truncated directional intensity computation. The difference in truncated directional intensity value is employed to decrease radiometric errors. The proposed method’s raw matching cost went through the cost aggregation step using the bilateral filter (BF) to improve accuracy. The winner-take-all (WTA) optimization uses the aggregated cost volume to produce an initial disparity map. Finally, a series of refinement processes enhance the initial disparity map for a more accurate final disparity map. This paper verified the performance of the algorithm using the Middlebury online stereo benchmarking system. The proposed algorithm achieves the objective of generating a more accurate and smooth disparity map with different depths at low texture regions through better matching cost quality.
Fault diagnosis and warning design of wind turbines based on expert system

At present, in view of the main difficulty of fault diagnosis and inaccurate fault location of wind turbines, a set of expert system is proposed to locate the fault, and the system is connected to SCADA monitoring system to realize the early warning of potential faults of wind turbines. At the same time, it is pointed out that when analyzing potential faults, the nearness degree of the wind turbine with faults is calculated first. If the nearness degree is less than the threshold, the same kind of faults can be judged, the fault diagnosis can be skipped and the results can be output directly, which greatly reduces the computing power of the expert system.
Probing TryOnGAN

TryOnGAN is a recent virtual try-on approach, which generates highly realistic images and outperforms most previous approaches. In this article, we reproduce the TryOnGAN implementation and probe it along diverse angles: impact of transfer learning, variants of conditioning image generation with poses and properties of latent space interpolation. Some of these facets have never been explored in literature earlier. We find that transfer helps training initially but gains are lost as models train longer and pose conditioning via concatenation performs better. The latent space self-disentangles the pose and the style features and enables style transfer across poses. All our code and models are available in open source [2].
Impact of Blockchain in the Voting System

Voting is important for any democratic country. It can be considered as one of the major factors that make a government for the people and by the people. The most common methods of voting that currently exist are ballot-based voting, purely electronic methods, and Electronic Voting Machines, among others. Over the years, it has been a challenge to build a secure E-voting program that provides the privacy of current voting systems while offering a means of accountability and versatility. Using blockchain technology and cryptography we can make the process of elections as open and cost-effective as possible. In this review paper we discuss a new, blockchain-based electronic voting system that addresses some of the limitations in existing systems and evaluates some of the popular systems designed to create a blockchain-based e-voting system.
Assessing the item of final assessment mathematics test of junior high school using Rasch model

The test is a tool to collect information about the achievement of learning objectives so that the test must have good quality in order to be able to measure students' abilities accurately. To determine the quality of the test, it is necessary to do an analysis, one of which is the Rasch model approach. This study aims to analyze the quality of the final semester test results in learning mathematics—sampling using a purposive sampling technique. The subjects of this study were 56 students of Junior High School (SMP) in Yogyakarta, consisting of 25 males and 31 females. The test instrument consists of 40 multiple choice questions with the correct answer given a score of 1 and the wrong answer being given a score of 0. Therefore, the data obtained is dichotomous. The test kits were analyzed by applying the Rasch model. The study results obtained an estimate of the validity of item fit, where the questions analyzed had an INFIT MNSQ value between 0.94 - 1.11 and all questions with an OUTFIT value t ≤ 2.00; thus, 40 items fit according to the Rasch model. The characteristics of the test questions based on the Rasch model have a very difficult difficulty level of 0 items by 0%. The difficult category is three items at 7,5%, the medium category is 20 items at 50%, the easy category is 17 items at 42.5%, and 0% for the very easy category. The reliability of the case estimate value is 0.00 in the medium category, and the reliability of the item estimate value is 0.85 in the very high category. The implication of this research is additional knowledge regarding the Rasch analysis of mathematical problem models as a graduation standard.
Three Years Journal of IJSTM (International Journal of Science Technology &amp; Management: Inarah): A Bibliometric Analysis

International Journal of Science ,Technology &amp; Management (IJSTM: Inarah) is an internationally reputed journal with a Copernicus index that publishes original, peer-reviewed, and empirical research in science, technology and management. The use of technology in real business activities is often found in IJSTM journal articles. This journal has reached its 3rd year of publication in 2019. Using bibliometric techniques, we analyze based on the journal's authors, salient topics, and the most prolific authors, including institutions and affiliated countries as well as .topic relationships between articles. In network analysis using VOSviewer software, the results of IJSTM publications based on the linkage of articles are that there are two clusters,&#x0D; Keywords: IJSTM Journal, Bibliometrics, Vos Viewer
Building A Hybrid Recommendation System For E-Commerce

With the technology occupying a large place in human life, our shopping habits have also changed drastically. Increasing product variety and alternatives have made it difficult for people to reach products that suit their own tastes. Thanks to the Suggestion Systems, it has made internet shopping easier by using the evaluation, comment and scoring criteria of other users who have used the same or similar products to the products they are interested in. By learning the tendencies of the users while choosing the products, the presentation of the appropriate products enabled the users to reach their requests easily and quickly. At the same time, it has become mandatory for e-commercial companies to learn the preferences of users in order to compete with other companies. In this study, the most popular recommendation systems and algorithms used in e-commerce platforms are compared.
On a Certain Learning Algorithm for Logical Neural Networks

In this paper, we propose an algorithm for constructing variable-valued logical functions in the case of adding new production rules. The algorithm proposed serves as the basis for the method of constructive learning for logical neural networks based on variable-valued predicates.
Aesthetic of Video Poetry in Chuma Nwokolo’s “Sudan Sudan” by Al-amin El-nasir

Video poetry is an embodiment of literature called 'mediature'. This paper focuses on the new forms of poetry based on virtual reality. This is located in the fields of critical hypothesis, hermeneutics, semiotics, semantics of the text and digital culture. These new forms emerging from the expedition of literature (poetry) and new media are collectively called Digital Poetry. Digital poetry is referred to as E-poetry, short for electronic poetry, meaning a wide range of approaches to poetry that have in common the prominent and crucial use of computers or digital technologies and other devices. This work studies only video poems created to be read on the media accessible online or any video player such as electronic gadget. The paper offers the close-readings of Nwokolo’s “Sudan Sudan”one of numerous video poems available on the internet. This paper has been organized around two deeply interconnected approaches: aesthetic and analytic. The first approach judges the “novelty” of the phenomenon within a historical context. The aesthetic approach that is examined on the corpus is fundamental in order to establish a sort of typology of e-poetry and, consequently, to be able to start the analytic work. The aim of the study is on the one hand to highlight the basic features of video poems in order to make them more approachable and understandable as objects of study; and on the other it is to provide those who are interested in this new area of study with a sort of critical analysis of video poetry.
Pemanfaatan Aplikasi Mendeley sebagai Sistem Manajer Referensi Digital untuk Penulisan Karya Ilmiah bagi Guru Bahasa Arab di Banten

Background: Citation cannot be separated from scientific work. The initial survey results show that most teachers who are members of the Arabic Subject Teacher Consultation in Banten still do not understand how to write good scientific papers, including how to cite and create a bibliography or reference automatically. Mendeley is a citation management application that is free or open-source, user-friendly, has an attractive appearance, and can be used on online and offline devices. For this reason, community service activities and collaborations for teachers at Banten need to be held so that teachers can receive training in using Mendeley to manage scientific documents. Methods: Partner participation is carried out with a training program within one day. The technique used is workshop, mentoring and evaluation. Workshop activities to introduce applications, benefits and how Mendeley works, then video tutorials on installation on laptop devices are given. Results: This service activity resulted in 1) 90% of teachers getting additional knowledge and insight regarding the use of the Mendeley application as a digital reference management system for writing scientific papers, 2) providing training to teachers on the technical use of the Mendeley application as a digital reference management system for writing works scientifically. Conclusion: Through this training, 90% of teachers at the Banten can use the Mendeley application to support scientific article writing and encourage the productivity of each teacher to write scientific articles.
An Intelligent System to Automate the Inquery in Logistics Industry using AI and Machine Learning

Operator and sales employees in the logistics industry often have to submit the same inquiry repetitively to different vendors and opt in for the quotation that will generate the greatest profit for the company [4]. This process can be very laborious and tedious. Meanwhile, for smaller companies that do not have a well-constructed database for quotation information, monitoring employee’s work is simply difficult to achieve [5]. To increase the efficiency of sales’ workflow in this particular industry, this application devises a platform that automates the inquiry process, analyzes quotations from different vendors, retrieves the most profitable one, and documents all inquiries an employee has committed [6]. The results, after a series of intensive testing, prove to be promising and satisfying. The machine learning model can successfully fetch the most cost-effective price after analyzing a list of emails containing common languages used in the industry. All histories of an employee’s inquiry can be correctly displayed on any front-end device. Overall, the obstacle presented above is largely solved.
Medical Image Authenticity Using Lifting Wavelet Transform

In medical science, imaging plays vital importance in the correct diagnosis of illness. Therefore, to take the opinion of medical experts available globally, imagery data is shared through the Internet over a secured communication environment. In this sharing process, there are chances to deform or steal the important information of a patient. Hence, there is a need to secure these medical images during the process of telemedicine. In the present work, a wavelet-based watermarking scheme is presented to secure the secret information, and LWT and SVD are used for this purpose. To show the effectiveness of the proposed scheme, simulation results are evaluated over a set of database taken from a local center and discussed. The PSNR and NCC are used as evaluation parameters.
Control Refinement Using Particle Methods

The paper presents a control scheme for the real-time tracking problem of nonlinear systems subjected to hard nonlinearities. The proposed tracking controller introduces a refining component in the control input designed for the nominal plant model. The refining component compensates for tracking performance degradation caused by modelling uncertainties and external disturbances. The refining component is modelled as a random signal, the probability density function is expressed as a combination of finite weights typical of particle methods. The weights are updated based on sequential tracking error data. The proposed algorithm is simulated for an inverted pendulum affected by Coulomb friction. Comparison with existing techniques exhibits remarkably superior tracking performance.
Application of methods of structural petrophysical analysis for estimating metamorphogenic transformations of host rocks and ores of Dzhusa massive sulfide deposit (South Urals)

Based on a comparison of the chemical composition and a number of petrophysical and thermodynamic parameters of changed to varying degrees syn-ore and post-ore Devonian gabbroids of the Dzhusa pyrite-polymetallic deposit (South Ural), the principal possibility of quantifying the grade of their alteration and transformation related with the hydrothermal post-volcanic and dynamic metamorphism is shown.
Preparation of maybutny teachers in the cob’s school before prophylaxis in bulling middle schools

The article reveals the main aspects of preparing future primary school teachers for the prevention of bullying among schoolchildren. The content of psychological and physical forms of bullying in an educational institution is determined, the mechanisms of manifestation of signs of violence in the educational process according to D. Olveus are characterized; the indicators of the readiness of future teachers to prevent bullying in the educational space of an elementary school are determined, the role structure of bullying is revealed. The directions of the formation of competencies in the course of preparing future primary school teachers for the prevention of bullying are characterized: formation of competencies for involving junior schoolchildren in information campaigns of educational institutions, psychological and pedagogical trainings and individual programs for prevention of bullying; formation of competencies for conducting interactive forms of learning, which will provide an opportunity to develop skills and abilities of effective dialogic interaction with all participants in the educational process; formation of competencies to involve parents in trainings-seminars, thematic conversations, psychological and pedagogical games that will increase pedagogical awareness, literacy of all participants in the educational process in aspects of anti-bullying education of children. Thus, the generalization of scientific positions on the process of violence and bullying makes it possible to define it as a long-term and systematic aggression, which can take physical and psychological forms, make up a large part of the social life of primary school children.
Enhancement of Digital Stereo Vision Images based on Histogram and Gamma Correction Strategy

Image contrast enhancement methods have been a topic of interest in digital image processing for various applications like satellite imaging, recognition, medical imaging, and stereo vision. This paper studies the technique for image enhancement utilizing Adaptive Histogram Equalization and Weighted Gamma Correction to cater radiometric condition and illumination variations of stereo image pairs. In the proposed method, the stereo pair images are segmented together with weighted distribution into sub-histograms supported with Histogram Equalization (HE) mapping or gamma correction and guided filtering. The experimental result shows the experimented techniques outperform compare with the original image in evaluation parameters of visual quality and image enhancement parameters via Entropy, MSE, and PSNR, etc. taken for performance analysis and validation.
Strong subadditivity lower bound and quantum channels

We derive the strong subadditivity of the von Neumann entropy with a strict lower bound dependent on the distribution of quantum correlation in the system. We investigate the structure of states saturating the bounded subadditivity and explore its consequences for the quantum data processing inequality. The quantum data processing achieves a lower bound associated with the locally inaccessible information.
Contemporary Strategic Trends in Higher Education for Training the Future Professional Elite

The need conditions the relevance of the work for a theoretical analysis of the strategic directions of higher education in the preparation of the professional elite in modern times. The currently developing process of globalization leads to the expansion of the interrelationships and interdependencies of various peoples, including in terms of revaluation of the function of education as a system that forms the value paradigms of modern society. In the context of the transition to the information society, new forms of education are emerging and developing, such as distance education and the export of educational services. The article presents reviews of sociological and statistical data in the field of development and results of international cooperation in the field of higher education. In determining the key categories, the author refers to the normative documents and opinions of leading scientists in the field of education.
Pelatihan dan Pendampingan Pemanfaatan Sistem Informasi Akademik bagi Civitas Akademik SMP Negeri 4 Kecamatan Rambutan

SMPN 4 Rambutan District, Banyuasin Regency is one of the junior high schools that was only established in 2019. Currently, most academic administrative activities are still carried out manually such as student data, teacher data, grades data, and attendance data are still in the form of archives, making it difficult to search for data. Based on this, it can be concluded that SMP Negeri 4 Rambutan requires a website-based academic sistem that can solve the problem, besides that training and assistance to the academic community is also needed. This activity is carried out in 3 stages, namely the delivery of materials, training and mentoring. The purpose of this activity is to make it easier for all academics in carrying out the teaching and learning process every day