Reviewerly/exHarmony huggingface dataset:
Improving the quality of preschool education through introducing preschoolers to technical creativity

Today, society needs socially active, independent and creative people capable of self-development. Innovative processes in education require new approaches. The formation of motivation for the development and learning of preschoolers, as well as creative cognitive activity - these are the main tasks that the teacher faces today within the framework of federal state educational standards. These difficult tasks, first of all, require the creation of special learning conditions. In this regard, design is of great importance. In the article, we reveal the conditions for working on LEGO technology and robotics with the children of our group.
Pathfinding in the Paparazzi Problem Comparing Different Distance Measures

This paper compares different alternative path construction mechanisms used in the A* algorithm applied to the Paparazzi problem. It investigates the Manhattan, Euclidean and Chebyshev approaches for distance measurement using four and eight neighbouring nodes in different maps. The maps consist of various sizes and include fixed obstacles and different terrain structures represented by weighted nodes. The Manhattan approach offers the best performance in terms of the number of iterations and run time when using four neighbouring nodes in small maps. In contrast, the Euclidean approach performs best at reasonable path costs for large maps. The Chebyshev approach shows the lowest path costs in every map regardless of the number of neighbouring nodes. However, the Chebyshev approach as the gold standard for eight neighbouring nodes does not show the expected superiority in pathfinding performance.
An Efficient Approach for Appearance Based Eye Gaze Estimation with 13 Directional Points

This paper proposes a real-time eye gaze tracking interface based on an active appearance method using a simple web or smartphone camera in an unconstrained environment, where natural head movements have been taken into account. Here, feature extraction from an eye gaze image has been performed by separating the sclera pixel area from the masked eye image. The performance evaluation has been accomplished using decision tree, random forest, and extra tree classifiers. Over 13 targets, the proposed approach has an approximate 98% accuracy with extra tree classifier. The proposed approach may be beneficial to different eye gazed tracking applications in the field of human-computer interaction, robotics, and medical science.
An Investigation into UI generation compliant with HCI standards ensuring artifact consistency across SDLC

"The Alter" eliminates software product inconsistency by adhering to SDLC best practices and ensuring that the final product complies with HCI principles with minimal supervisor guidance under the pandemic condition. This paper presents two surveys and an interview: A literature survey on current automatic UI generation tools and a user survey on why it is necessary to have a system that generates user interfaces automatically. The first survey reviews the underlying systems and software used to automate the user interface generating process. With the help of the SDLC process (Requirement gathering, UML diagrams generation, generating wireframes, web UI generation, evaluate the application of HCI concepts ) and HCI practices, the second survey attempts to bridge the gap between manual and automatic UI generation. The focus of the interview is on the significance of artifact consistency.
QHSL image encryption scheme based on a logistic chaotic system

On digital computers, the hue, saturation, and lightness (HSL) image model is especially useful in feature detection, image segmentation, and other operations in robot vision, object recognition, etc. On the quantum computing paradigm, such a model was only recently formulated and many new inroads with it are just beginning. Our study proposes a scheme to secure quantum images encoded using the quantum HSL (QHSL) image model. The proposed QHSL encryption scheme (or simply QHES) utilises logistic mapping to induce the chaotic system at the heart of the QHES strategy. The scheme consists of a quantum logistic chaos unit composed of quantum arithmetic modules to generate chaotic sequences. This is followed by a quantum logistic key generation that is subsequently used to encrypt the HSL components of QHSL images. The proposed scheme exploits quantum parallelism to execute its encryption procedure which leads to significant reduction in computational resources. Results of simulation-based experiments reported suggest potentials of the proposed QHES as an efficient cryptosystem on quantum computers.
An LWE-Based Multi-Key Privacy-Preserving Distributed Deep Learning

Privacy preservation in distributed deep learning (DDL) has received a lot of attention recently. One key approach to preserving privacy for DDL is the use of Homomorphic Encryption (HE), which allows computation on ciphertexts without decryption. Although current applications of HE provide some level of privacy to DDL, they are not post-quantum resistant and multi-key compliant. The use of same key by all participants could lead to collusion attacks and possible leakage of sensitive information from a participant&#x0027;s local dataset in the distributed deep learning setting. Furthermore, most of the privacy solutions provided for the DDL assume that all learning participants must be present before the start of the protocol. Hence, such solutions do not allow a new participant to benefit from the utility of the joint learning of other participants, for which it was not present. To address the above problems, we propose a new privacy preserving solution for DDL that uses an LWE-based Multi-key approach. Our proposed privacy preserving DDL solution is multi-key compliant, post-quantum resistant and has an additional property of allowing a new participant to benefit from the utility of an already trained collaborative deep learning system. We prove that our privacy-preserving distributed deep learning system is secured. We note that our proposed solution generally provides a robust privacy-preserving solution for the DDL and at the same time has great potential to reduce communication and computation costs associated with similar systems.
Brute Force Modification Algorithm for Ring Topology Network Optimization

In this era, technology is now growing so fast. Especially in the optical network site. In this paper, the aouthors focus about problem solving in Travelling Salesman Problem (TSP) using bruteforce algorithm that has been modificated. This Proposed Algorithm trying to get a better result from the original bruteforce its self using pyton. With bruteforce as a basic, this Proposed Algorithm can get more than 15 nodes, in other hand, bruteforce only be able to touch 15 nodes only. And this Proposed Algorithm can beat the original bruteforce in time almost 200 times better than original.
Design and Realization of College Student Employment Management System Based on Intelligent Optimization Algorithm

Colleges and universities not only shoulder the major task of talent training, but also are responsible for recommending the trained talents to suitable positions. In the face of fierce competition for talents, how to effectively provide students with suitable jobs or employment information has become an urgent problem facing the employment departments of major universities. This article focuses on the research on the design and implementation of the employment management system for college students based on intelligent optimization algorithms. This article first investigated the needs of college students for employment services provided by the employment guidance center, summarized the functional needs of the employment management system, divided the system according to user roles and designed the system with corresponding functional modules. Finally, through the system function test and performance test, the reliability of the system is verified. Experimental data shows that when the number of users is 300, the response time for logging in to the system, information entry, and information query is 1.60s, 2.46s, and 1.66s, respectively. It can be seen that the system responds quickly and meets the needs of users.
Design and analysis of teaching effect evaluation based on AHP fuzzy comprehensive evaluation method

Vocal music is one of the important forms of musical art expression and is also popular among music lovers. The corresponding professional vocal music education is also an important part of music art education. In order to further improve the efficiency of vocal music professional talent training, in recent years, the concept of general education has been introduced, which combines professional vocal education and non-professional general further studies to stimulate the overall development of students’ comprehensive abilities and promote the transformation of vocal education teachers. More flexible vocal music teaching activities guide students to establish the ability of inquiry and creativity, thereby helping students to master more practical skills and become "complete people" to meet the current modern society's demand for cultivating human-oriented vocal talents.
The Ethics of Filmmaking: How the Genetic History of Works Affects Their Value

This chapter argues that ethical demerits characterizing a given film’s production process have direct implications for the value of the film in question. Ethical demerits often arise when relatively powerful figures within the production process direct abuse at more vulnerable parties, typically child actors or female actors. Whereas ethicists such as Berys Gaut contend that it is the implicit attitudes of works that determine their ethical valence, and, through this, their aesthetic value, this chapter insists that the actual attitudes governing the production process are in fact decisive. A spectrum of such attitudes, ranging from the severely abusive to the thoroughly ethical is established, with an eye to offering a map of how different kinds of ethical merits and demerits affect the value of works. The chapter builds on such global movements as #MeToo and has implications for policy makers and funding bodies. It invites a serious re-evaluation of some of the most traditionally valued works of various film canons, the claim being that once the genetic histories of works are taken into consideration many films should not retain their canonical status.
Formalized Designing Methodology of ISMS for Critical Infrastructure

Today, the functioning of the state is impossible without a developed information infrastructure. Such systems are already considered as critical infrastructure. The architecture of information systems is growing along with the number of services they provide. Designing flaws of such systems can critically affect the safety of their operation. As information and telecommunication systems become more complex, security is becoming an important issue, where a formal approach to the design of security features will help to avoid mistakes in integrating an information security management system. This paper proposes new requirements for the ISMS project for critical infrastructure, in particular a formal design approach.
Does Social Media Follow News Media?

Today, sentiment analysis is in high use to understand user reactions. In this paper, the authors have discussed this topic using news and Twitter texts as sources of data. They use TextBlob, VADER, and IBM Watson NLU as sentiment analysis tools. The news sentiment analysis data is from January to July 2020, classified under each tool. The authors get almost the same result from all of them. February shows having the maximum negative polarity news, followed by June. While Twitter data of each month when classified under each sentiment analysis tool shows the same kind of result for all the months, March has the maximum negative polarity and maximum positive polarity is seen in January. The aim of this paper is to show that sentiment analysis on newspaper content can help common people to know the bias in newspapers to prevent more negative impact on readers especially during a pandemic like COVID-19. The comparison drawn between the news data sentiment analysis and the same with Twitter data has a good correlation but still shows a difference in sentiment.
Analysis of Cryptographic Libraries(SSLTLS)

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Security of User Credentials on Web Portals

The most prevalent form of authentication or computer system intrusion protection is the use of alphanumeric usernames and passwords. Strong password schemes have traditionally provided a certain level of protection, but they are complicated and difficult to remember, prompting their owners to write them down on paper. As a consequence, protection is jeopardized.Increasing the sharing of information, internet use, data transfer, protection and validation of passwords have become significant challenges.As a result, many programmes use different hashing and salting algorithms to store password files in databases.Attackers, on the other hand, do not consider password hashing to be safe since they use brute force attacks, password guessing attacks, and other methods to obtain the user&#x0027;s password from the database&#x0027;s password log.Some systems store passwords in databases using honeywords or bogus passwords generated using the generation technique for honeywords to prevent hacker attacks.In our recommended approach, passwords are saved using a distinct hashing mechanism with a less complexity of time in which majority of the processes need basic operation based on binarys.
Implementasi Program Belajar dari Rumah dan Identifikasi Learning Loss selama Pandemi: Studi Kasus pada R.A. di Daerah Terpencil

One of the impacts of the Covid-19 pandemic is learning that must be carried out at home. Learning loss is found in some learning from home due to the digital divide, especially in rural areas. The learning process is closely related to the cognitive development of children. This article aims to explain the implementation of the learning from the home program at the Raudhatul Athfal (RA) Institute, Aluh-Aluh District, Banjar Regency. In addition, this article also identifies aspects of the child's development of the home learning model. This research uses an exploratory case study method in 4 RA institutions, Aluh-Aluh District, Banjar Regency. The results showed that the three RA institutions carried out a learning program with the help of parents to carry out and submit the results of their child's learning evaluation to the institution every week. One other institution implements home visits by gathering students who have close home locations without differentiating their study groups. The evaluation format carried out in-home visits is more varied than others because teachers can meet children directly. Aspects of cognitive development are often stimulated while other aspects of development are left out.
Logistic Regression Algorithm-Based Product Recommendation System Model

It is very rare to see that the product development process is smoothly carried out with no trials and errors. In the process of producing new products, many difficulties are frequently occurring contrary to the expectation. In order to efficiently cope with such difficulties, it would be required to have the procedure for reflecting consumers’ needs by introducing and applying the recent Opinion Mining, Sentiment Analysis, and Logistic Regression to the product development process. This study used the linear regression and logistic regression models to predict a product with the highest purchase possibility, which was used for the newest marketing technique for the next best action or product recommendation, by analyzing the massive unstructured consumer data of portal sites and online markets, positiveness/negativeness, and predicting/analyzing the causes. Even though the concept itself of those models is simple, they are the most successful models in the logistic regression field. Some people may be opposed to call these models logistic regression. However, the concept itself is the same, and they are achieving such excellent results in the actual logistic regression. The logistic regression model is used for predicting a product with the highest purchase possibility in the newest marketing technique for the next best action or product recommendation. To conquer the new product market, the planning and development of new products are playing huge roles in the corporate performance and growth. The logistic regression-based product recommendation system model proposed by this thesis is the system for acquiring useful and accurate information to plan the best product. In the results of analyzing total 11,200 data sets of a specific product in portal sites and online markets, the customer satisfaction was 92% and there were some product defective issues in case of frequency analysis, so that it would be necessary to have the urgent improvement. According to the results of a survey on the use of the proposed model targeting the planners of products related to system operation, the items related to the system use satisfaction, system efficiency, and system effectiveness showed the satisfactory results higher than expected.
The Blanket Application Model of Reference Information for Effective Manufacturing Execution System Management

In the manufacturing industry, there is a transition to multi-item production for reinforcement of competitiveness. Therefore, the hybrid manufacturing technology is increasing. Especially, many efforts in production quality improvement are made through the adoption of the Manufacturing Execution System and ERP, so it is necessary to operate MES for prompt and effective management. Therefore, the adoption of MES is necessary. MES should improve ineffective parts in production activities while managing all stages related to production of products. If there is change in the process, the changed items should be reflected to the system. However, most manufacturing execution systems are operated passively and repetitively by system administrators. This study presents a model that system administrators can comprehensively apply reference information about production related requirements on specific line’s equipment to the same equipment of other lines. To practice the model, demands of MES administrators were organized, the current system’s screen is analyzed, data for applicable reference information are classified, the screens for blanket and selective applications are designed and realized, the reference information is registered to same equipment in all the lines in case of blanket application. The reference information is registered to selected lines in case of selective application. In the results of the presented model’s test, at first it wasn’t 100% successful due to exceptional situation that the wrong data exist in the database. The validity check function for the original data that causes the exceptional situation was added, which was notified to the system administrators so that they can correct the wrong original data. The equipment reference information blanket application was implemented, and it was 100% data process accuracy. In addition, the flexible response for application to production lines is possible thanks to the division of blanket application and selective application of reference information.
THE MODELING OF INFORMATION SECURITY SYSTEM DESIGN PROCESSES IN STATE INFORMATION SYSTEMS

The relevance and necessity of implementing measures to protect information in state information systems today is obvious both from the point of view of existing legislation, and from the point of view of the objective presence of a large number of threats of a very different nature. Protective measures should take into account such factors as the growth of the volume of processed information, the use of various data processing technologies, the multi-user nature of access to information resources, and the complexity of the modes of operation of technical means [Schneier, 2003]. Thus, ensuring information security is a complex of interrelated business processes of an organizational, legal and technical nature. The complexity of the processes of implementing security systems makes it necessary to perform the planning stage of this process, which is closely related to the need to develop a domain model. This determines the relevance of writing this work. The purpose of this article is to develop a set of models that describe the features of organizational, legal and technical processes that arise at the design stages of information security systems in state information systems. The methodological basis for writing the work is the normative legal acts of the FSTEC of Russia. A comparative analysis of possible methods of modeling the described subject area allowed us to determine the tools used. To describe the ongoing processes in the design of the information security system, the SADT functional graphical modeling methodology was used. Mathematical modeling methods were used to model the process of rational choice of information security tools. The result of the research presented in this paper is a set of models that describes the processes characteristic of the design stage of the information security system in state information systems.
A unified approach to training future informatics teachers in terms of the formation of digital competencies

Today, an important and significant direction in education is the unification of the training of teaching staff at the university. In this regard, it is important the experience of the development by the Department of Informatics and Computer Engineering of the Mordovian State Pedagogical University named after M. E. Evseviev of work programs of academic disciplines within the framework of the project “The core of higher pedagogical education” in the subject-methodical module (profile “Informatics”). A set of academic disciplines is substantiated, which should be mastered by students of undergraduate programs in the direction of training 44.03.05 “Pedagogical education” (with two training profiles). The purpose of each of the disciplines presented in the set is determined, their specificity is revealed in terms of the content being studied and mastering digital competencies. It is shown what digital competencies can be formed in each of the disciplines and what tools should be used. A description of some of the digital competencies is given, in particular, when working with electronic texts, solving applied problems on a computer, creating digital content, conducting research using spreadsheet processors and programming languages, organizing project activities, preparing for school Olympiads in informatics. It is concluded that the proposed set of academic disciplines will fully prepare the student for the professional activity as an informatics teacher, including technical, technological, and methodological components.