Reviewerly/exHarmony huggingface dataset:
Remote Education in Modern Conditions

In the context of the digital economy and the globalization of the social sphere, the introduction of distance learning technologies in the educational process, as well as the legal regulation of distance education and assessing its quality are the most relevant. Mass quarantine restrictions associated with the COVID-19 coronavirus pandemic, on the one hand, challenged existing distance learning systems, on the other hand, created a serious impetus for its further development. The first goal of the study is to analyze the regulatory legal acts regulating distance education in the Russian Federation with a view to establishing its place and role in the educational process. The second goal of the study is to assess the quality of distance education in modern conditions. To achieve these goals, regulatory legal acts were analyzed, an assessment of distance education in the Russian Federation at the present stage was given, a system of indicators for assessing the quality of higher education was developed. To conduct the study, methods such as the deduction method, methods for calculating relative values and a graphical analysis method were used. Based on the study of normative legal acts, it was concluded that distance learning is an educational technology and, accordingly, can be used as a means of organizing the educational process in the implementation of the educational program for any form of training, including full-time, in accordance with local educational normative acts organization. At the same time, modern services for the implementation of distance learning have wide functional capabilities, which, if used correctly, allows achieving the proper level of quality. Based on the analysis of fundamental legal documents and available sources of information, the authors developed a system of indicators for a comprehensive assessment of the quality of higher education, which includes three groups of indicators: the quality of students, the quality of the teaching staff and the quality of the educational process.
Integral Attacks on Some Lightweight Block Ciphers

At EUROCRYPT 2015, Todo proposed a new technique named division property, and it is a powerful technique to find integral distinguishers.The original division property is also named word-based division property.Later, Todo and Morii once again proposed a new technique named the bit-based division property at FSE 2016 and find more rounds integral distinguisher for SIMON-32.There are two basic approaches currently being adopted in researches under the bit-based division property.One is conventional bit-based division property (CBDP), the other is bit-based division property using three-subset (BDPT).Particularly, BDPT is more powerful than CBDP.In this paper, we use Boolean Satisfiability Problem (SAT)-aided cryptanalysis to search integral distinguishers.We conduct experiments on SIMON-32/-48/-64/-96, SIMON (102)-32/-48/-64, SIMECK-32/-48/-64, LBlock, GIFT and Khudra to prove the efficiency of our method.For SIMON (102)-32/-48/-64, we can determine some bits are odd, while these bits can only be determined as constant in the previous result.For GIFT, more balanced (zero-sum) bits can be found.For LBlock, we can find some other new integral distinguishers.For Khudra, we obtain two 9-round integral distinguishers.For other ciphers, we can find the same integral distinguishers as before.
Taxonomy Genetic Algorithm For Implementation Partially Mapped Crossover In Travelling Salesman Problem

Abstract Genetic algorithmhasvarious process are carried out to get optimal results in solving the problem of traveling salesman problemTravelling salesman problem (TSP) as known as combinatorial NP problem. Salesman given a map that he has accomplished all cities only once by minimized the total of distance and he has to return to the first city. By describing the taxonomy in genetic algorithm, it can avoid confusion in understanding the various classifications that exist in the genetic algorithm operator. This paper explains one of the parts from genetic algorithm is crossover. Crossover being important step in genetic algorithm. Commonly mechanism crossover replaces two selected chromosome which part from two parent’s individual randomly position, generate random number interval 0-1. Crossover occur for each individual by determining the probability of the crossover. If the probability crossover is smaller than random number, there is no crossover process. Partially mapped crossover is part of the taxonomy of genetic algorithms whose implementations can be applied in a variety of problem solving including in the travelling salesman problem. The test results of this researchusing pc 0.25 and pm 0,1 with tsp eil51 data, it was found that the optimal route average value was 4069.34 and the best fitness average was 2.46E-04, while for the eil76 test data the optimal route average value was 6844.4. and the average best fitness value of 1.46E-04.
Theatricalization In Education: Dialog Of Cultures

This article describes the educational benefits of theatricalization in work with students including creation of co-existence of children and adults as a space of dialog and mutual understanding. The following issues are considered: the tasks of education, entering the field of socio-humanitarian practice focused on the formation of students ' values. Theatricalization is understood as the use of theater means in the educational process, the organization of joint activities of children and adults based on reading and staging a literary work, the creation of conditions for emotional involvement and for sharing beliefs and values. The article presents a historical view on the issues of theatricalization in education as a dialog between the past and the present, uncovers the relevance of the ideas of the past for modern socio-cultural practices in education. Views on the role of theater in education are reflected by John Dewey, S. Hall, Célestin Freinet, Y. Komensky, Plato, Alexander Sutherland Neill, Rudolf Steiner, and others. From the standpoint of education, it presents historical facts in an easy-to-understand form and gives insight into the worldview heritage of mankind. Theater enhances emotional development in children when they empathize with characters and feel their emotions thus gaining experiences inaccessible in real life. From the standpoint of children’s development, theater creates a dialog between the child and other people (the external world) where the co-existential unity of children and adults is formed based on important team activities; thus the children gain the valuable experience for their personal development.
SucupiraBot

Conversational user interfaces have been an increasingly popular way to obtain quick information in natural language, especially with advances in the area of natural language processing (NLP) fueled by the surge of deep neural networks. Real-world cases include IBM Watson and Azure Microsoft chatbots, among others. Such examples, however, are most present in the commercial spectrum, with few being actively used by the scientific community. In this work, we develop an Interactive Question Answering System (IQA) for the Sucupira platform, Brazil's biggest open platform of postgraduate content, deployed as conversational interfaces for two popular messaging platforms: Telegram and Discord. We also propose the use of multilingual embeddings for ordering answers by a language-independent measuer of semantic similarity. Our IQA was evaluated with an study with 16 participants. The results were mostly positive, indicating that the use of conversational user interfaces, along with NLP techniques, may be a valid alternative for retrieving scientific information from the Sucupira plataform.
Reliability Enhancement Algorithm of Human Motion Recognition Based on Knowledge Graph

In order to solve the problem of uneven spatial distribution of human motion image and low peak signal-to-noise ratio (PSNR) of image reliability enhancement, a reliability enhancement algorithm for human motion recognition based on knowledge graph is proposed. An automatic spatial planning model of human motion image is constructed. The human motion spatial features are sampled, and the three-dimensional contour feature reconstruction model is established. The human motion spatial contour structure is reconstructed by adaptive edge feature detection method, and the knowledge graph of the motion image is extracted. Multi-scale information enhancement method is used to enhance and recognize the reliability of human motion image. The experimental results show that the method has the advantages of good reliability, high signal-to-noise ratio of image enhancement, and high accuracy of human motion recognition.
RETRACTED: Evaluation of Interior Design Schemes Based on Artificial Intelligence Processing Technology

Abstract This article analyzes the necessity of evaluating interior design schemes. The content of this article includes timely discovering the shortcomings of the plan, improving the comprehensive benefits brought by the plan, and reducing the appearance of construction changes. The composition combines the basic concepts and development of artificial intelligence processing technology, and studies the construction principles of artificial intelligence processing technology in a clear system. The author studied how to evaluate the content of the indicators, the integration of energy-saving function indicators, the calculation of the weights of different indicators, and the objective evaluation of specific application functions in the test plan. The author’s purpose is to improve the reliability of the evaluation results of the interior design plan and speed up the progress of the later plan implementation.
A Conceptual Framework for the Integrated, Smart and Secure Remote Public Voting System (SSRPVS)

Elections are the backbone of democracy. It is through elections that individuals assert their voice, their perspectives, and choose a person whose philosophies most complement them. Elections allow citizens to choose their representatives. They are also important for the people to express their resentment at the ruling government. When there is high voter participation, the election process is considered successful. Unfortunately, developing countries such as India are facing a decline in the turnout. People in rural areas move to metropolitan cities or other countries, in most developing countries to make their livelihood or schooling. During elections, visiting their hometown and casting their votes becomes burdensome for them because of their commitment to their workplace. Challenges in moving to poll places and sometimes adverse weather conditions, cause people to miss the chance to choose the candidate of their choice. People with disabilities and senior citizens also refuse to go to the polling station due to travel-related difficulty. Therefore, many elections record only 50-70 percent electoral turnout, sometimes, even less than 50%. Only when all eligible voters are granted fair opportunities to exercise their franchise then only such a democratic system is considered fool proof. The need for the hour is such a fool proof framework that enables all eligible voters to cast their vote by visiting Polling Station or doing so remotely. This paper proposes a conceptual framework for the Integrated, Smart, and Secure Remote Public Voting System (SSRPVS) that allows voters from any part of India to exercise their franchise without moving place to place and wasting time and money. To develop the Framework, emerging technologies such as IoT, Cloud Computing, Edge Computing, Blockchain, and Data Analytics are included. The system will guarantee security through four different levels, Smart Voting Card based on RFID, One Time Password, Thumb Recognition, and Retina Recognition. The only theoretical model of the system that is open for further analysis and development is provided here.
System of Logical Structures in Natural Science-Oriented Curriculum and its Effect on Teaching

The system of logical structures in natural science- (biologically-, ecologically- and physics-) oriented curriculum is defined as a set of features, which depict the main ideas of a certain topic. Basically, it is a unique model presenting the topic´s key points. Graphical representation of the curriculum logical structure can be provided (implemented) as: a) traditional printed graphic form b) computer (virtual) form. When visualizing the logical structure system of natural science curriculum (including biologically-, ecologically- and physics-oriented school subjects), we mainly use the following structural components: Word maps, Applets, Orientation graphs (transport diagrams), Development diagrams, Venn diagrams, Structurograms, Sequence diagrams and others. This research paper includes a pedagogical experiment to verify the effectiveness of teaching with the use of graphic visualization of the curriculum logical structure.
Diagnosing Soft Tissue Sub-Surface Masses Using the XCS Classification System

Introduction: One of the most common types of cancer is breast cancer, which is considered as the second leading cause of death in women in Iran. Due to the fatality of this type of cancer, it is very important to diagnose the disease in the early stages and starting the treatment process. One of the methods to diagnose breast cancer is using mechanical arms (robot manipulator) to touch and measure the force in terms of displacement at the site of the breast touch by the robot. The hardness of the cancer tissue can affect the force diagram in terms of displacement, which can be used as a diagnostic method. The present study was performed to prepare a simulation model of breast soft tissue behavior considering subsurface masses. Then, a proposed classification system was designed to fit it.Material and Methods: In this section, first, the soft tissue behavior of the breast is simulated by considering sub-surface masses. The simulations are performed for a piece of tissue that is in the shape of a rectangular cube, as well as different dimensions of a spherical mass that is located at different depths and coordinates. Using simulation, various force-displacement diagrams have been obtained, based on which a data network.Results: The displacement force diagram for different modes is obtained using simulation. By giving the resulting diagrams to the trained system, the size and depth of the mass is determined. By comparing the obtained results with the initial model and the actual size and depth of the mass, a very good conformity is observed, which indicates the correct operation of the designed system and the performed simulation process.Conclusion: The proposed design system was used to diagnose the presence of tumors in tissue with sub-surface mass. The results show a high percentage of this method in diagnosis. However, the accuracy of this method can be greatly increased by increasing the amount of data given to the XCS system for training. On the other hand, instead of simulation data, test data on healthy and unhealthy people can be used for training.
Research on Application of Image Recognition and Tracking Technology Based on Moving Objects

This paper implements a system for identifying and tracking moving targets in a laboratory environment, and keeps the target in the field of view by controlling the pan tilt and the lens. We mainly discusses the recognition of moving targets and the automatic tracking of moving targets. Using the Haar feature to identify the target, as long as the training sample is sufficient, a good recognition effect can be achieved. On the basis of recognition, the target tracking is performed using the Camshifi algorithm. The Kalman filtering prediction method is integrated into the CamShift algorithm, the target tracking speed is improved, and the problem of fast target tracking in the case of interference is effectively solved. Applying the automatic recognition and tracking method of the target studied in this paper, a fast target automatic recognition and tracking system based on PTZ camera is established, and a series of target automatic identification and tracking experiments are conducted. The experimental results show that the target automatic recognition and tracking algorithm established in this paper is fast and has good tracking effect.
Estimation of the frequency of occurence of italian phonemes in text

The purpose of this project was to derive a reliable estimate of the frequency of occurrence of the 30 phonemes – plus consonant geminated counterparts- of the Italian language, based on four selected written texts. Since no comparable dataset was found in previous literature, the present analysis may serve as a reference in future studies. Four textual sources were considered: Come si fa una tesi di laurea: le materie umanistiche by Umberto Eco, I promessi sposi by Alessandro Manzoni, a recent article in Corriere della Sera (a popular daily Italian newspaper), and In altre parole by Jhumpa Lahiri. The sources were chosen to represent varied genres, subject matter, time periods, and writing styles. Results of the analysis, which also included an analysis of variance, showed that, for all four sources, the frequencies of occurrence reached relatively stable values after about 6000 phonemes (approximately 1250 words), varying by &amp;lt;0.025%. Estimated frequencies are provided for each single source and as an average across sources.
Obstacle Avoidance Algorithm for Mobile Robot Based on Deep Reinforcement Learning in Dynamic Environments

Developing a friendly and efficient obstacle avoidance algorithm for mobile robot in dynamic environments is challenging in the scenarios where robot plans its paths without observing other obstacles' intents. Recent works have shown the power of deep reinforcement learning techniques to learn collision-free policies. However, many of them ignore the interactions between obstacles, which may cause unnatural trajectory. Meanwhile, the performance of these methods is not well in simulation environment. Combined with the interactions of obstacles, we propose a mobile robot obstacle avoidance algorithm based on deep reinforcement learning in dynamic environments. Firstly, we not only consider the direct impact of obstacles on robots, but also take the interaction between obstacles into account using angel pedestrian grid. Therefore, robot can extract more abundant environmental prior information. Subsequently, the temporal characteristics of obstacles are extracted through attention mechanism, then we can obtain the joint impact of obstacles on the obstacle avoidance strategy. Finally, the robot obtains the control output through value-based reinforcement learning. The feasibility and effectiveness of our proposed algorithm in dynamic environments is verified through simulation experiments.
Path Planning of a Series Robots Using A* Algorithm

In recent years, robots are utilized in almost all smart applications. The present world is running toward automation, and most of the manual works are automated. Nevertheless, robots are playing a very crucial role in automated industries. Robots have widespread usage in industries for carrying loads, picking and placing, and assembling. Robots work as mechanical components, and it is usually guided by a human to complete their work until the integration of artificial intelligence into the robots. Artificial intelligence has brought enormous developments in all the fields especially where the robots are involved. Before the integration of artificial intelligence with robots, a particular path was given for the movement of robots to take a lot of space in the industry, where it always requires some human guidance. This paper deals with artificial intelligence-enabled robots, which can plan their own path. Artificial intelligence algorithm called as A* algorithm is used in this paper to plan the path of the robot based on the obstacles. This algorithm helps the robot to find the optimized path. Using MATLAB, A* algorithm is coded to fix the source point and destination point in a grid between which the shortest path must be calculated. There are also many obstacles between the source point and destination point.
Accessibility and Serious Games: What About Entity-Component-System Software Architecture?

Video games are an integral part of popular culture. The video game industry faces challenges with the increase in players’ numbers and application areas including serious games. The increase in the number of players includes disabled players. Therefore, serious games have to consider these audiences who may be affected by one or more temporary or ongoing disabilities. Universally accessible games (UA-Games) aim to create interfaces that can be accessed and manipulated by the largest number of players. Currently few serious games include accessibility features, while accessibility should be considered at the beginning of the serious game design. Then how can we help designers and developers to include accessible features in an existing serious game? To this end, game engines must be efficient but also scalable and modular. This paper studies the interest of the Entity-Component-System (ECS) software architecture to integrate accessibility features in an existing serious game. As a case study, we will take a serious game developed with ECS yet not accessible: E-LearningScape. We will present the accessible features that we have integrated into the serious game and discuss the pros and cons of this approach. This feedback shows us that ECS provides very useful design flexibility to integrate unanticipated interaction features into serious games.
Data Privacy in Its Three Forms – A Systematic Review

The constant growth of large amounts of data have gifted many fields, such as healthcare, business, e-commerce, education, social sites, and others, to make timely decisions and improve their services for their users. However, the considerable amount of these applications’ data is of personal nature. Thus, the sensitive information of each individual should be protected to gain the trust of users how their private information is shared with the organizations. The privacy and security of the data are the dominating challenges and attracted much attention in recent times. They explored privacy threats and also introduced many privacy-preserving techniques to deal with a variety of data threats. In this paper, we present a systematic review of the techniques that have been used to tackle these threats depending on the state of the data – whether it is at rest (in data stores), in transit (over the network), or in-use (during the analysis). This has shown very interesting conclusions about the data privacy and security with regard to big data characteristics.