Reviewerly/exHarmony huggingface dataset:
Semi-supervised clustering of time-dependent categorical sequences with application to discovering education-based life patterns

A new approach to the analysis of heterogeneous categorical sequences is proposed. The first-order Markov model is employed in a finite mixture setting with initial state and transition probabilities being expressed as functions of time. The expectation–maximization algorithm approach to parameter estimation is implemented in the presence of positive equivalence constraints that determine which observations must be placed in the same class in the solution. The proposed model is applied to a dataset from the British Household Panel Survey to evaluate the association between the education background and life outcomes of study participants. The analysis of the survey data reveals many interesting relationships between the level of education and major life events.
Improvement of worker scaling-based scheduling algorithm to efficiently respond to explosion of micro function service requests

We present improved worker scheduler algorithm and architecture to minimize the scheduling cost and function service response time of FaaS platform. We try to solve the problem of performance degradation of previous scaling-based worker scheduling algorithm due to the explosion of the function invocation requests and the blocking-based communication channel thread with the computation node. To this end, two algorithms including Load-based function worker demand prediction algorithm and adoption of asynchronous communication channel integration and non-blocking allocation method have been developed. Through the performance evaluation of proposed worker scheduling algorithm on FaaS worker scheduler, the proposed worker scheduler achieves speedups as high as 10.1 and 16.8 compared to the baseline Bare-metal Computing nodes with the CPU and GPU devices using the in-house TSL Inferencing application.
Mining historical texts for diachronic spelling variants

Abstract The paper describes a method for finding diachronic spelling variants in a corpus that consists of historical and modern Polish texts. The procedure applies the Levenshtein distance and the similarity measure determined with a Word2vec model. The method was applied for both words and sub-word units. A sample of spelling variants was manually evaluated and compared against an existing morphological analyser for Polish historical texts. The resulting lists of spelling variants and spelling modernisation rules were used in a text modernisation tool and their contribution was evaluated. The paper also presents an analogous method for finding spelling variants that result from erroneous OCR. The obtained lists of OCR variants and rules may serve for the correction of OCR output.
Blockchain Solution for Evidence Forgery Detection

Rapidly improving video editing software tools have made video content manipulation feasible. Consequently malicious attackers are trying to manipulate the videos. Detecting video tampering is a major need for many applications. In this paper we propose a model called Evidence chain based on Blockchain to ensure the credibility of the video. Unlike bitcoin which is a digital currency the Proposed system documents video hash by using hash based technology and elliptic curve cryptography. Video segments are hashed and stored in chronological order as a chain of blocks which are detectable and non-altering guaranteeing the validity of the video information. This research is significant in establishing the trust between any two parties.
Training of educational technicians specialized in activity-based learning at institutions of higher education

A teacher mastering a new paradigm needs professional support. In this case, it is recommended to create collective pedagogical action, in which all reflexive functions are performed by a teacher together with colleagues and educational technicians specialized in activity-based educational methods. The specific task of educational technicians is to follow semantic guidelines and normative frameworks of the above-mentioned pedagogical action. The reflexive position of educational technicians in relation to teaching means is that they should rely on activity-based learning and the corresponding principles of organizing and managing educational processes while supporting teachers. Thus, it is necessary to state that activity-based learning with its foundations, objectives, and methods has not acquired a comprehensive form for its popularization among school teachers. Currently, this paradigm is represented by a set of theoretical constructs from classical Russian psychology and a description of different educational experiments. The prerequisites for the training of educational technicians are associated with the application of the activity-based approach, which is the most developed in general education, for the training of educational technicians specialized in activity-based learning at institutions of higher education, including through the organization of quasi-professional activities. The study aims at considering various aspects of training educational technicians at institutions of higher education, including the specifics of the interim assessment. The authors of the article examine the corresponding literature on activity-based formats of professional training, as well as methods of forming educational events and outlining their content. The results obtained in the course of the study offer possible solutions to creating favorable conditions for the experimental and productive actions of future educational technicians. The novelty of the study is determined by a new approach to the training of educational technicians, which includes educational games having both diagnostic and reflexive potential.
Semi-discrete matrix factorization for cross-modal hashing

In view of the challenge that cross-modal hashing often encounters quantization loss due to hashing constraint relaxation, this work proposes a neat and innovative cross-modal similarity search strategy, termed as Semi-discrete Matrix Factorization Hashing (S-DMFH), which can directly extract the discrete hash representation shared by all modalities without any relaxation or intermediate variables. Meanwhile, S-DMFH fully leverages the category information to sharpen the discrimination ability of the learned hash representation. Furthermore, a linear embedding is constructed to map the data kernel space into the latent Hamming space, and also provides a directly usable hash function for out-of-sample data. Finally, an efficient iterative algorithm is designed by means of Stiefel manifold constraint to learn discrete hash representation directly, so as to reduce the quantization loss. The experimental results show its superiority over the current cross-modal hashing method.
A Robust Multi-video Spatio-Temporal Superresolution Reconstruction Algorithm

In the process of video acquisition, there are many possibilities of video quality degradation, and the spatial resolution of video is reduced, and the time of camera exposure and frame rate are limited. One of the methods that can effectively improve video time resolution and spatial resolution is video resolution reconstruction. On this basis, this paper analyzes the practical difficulties of video space-time application, puts forward the future development direction, and looks forward to the development of video super-resolution reconstruction.
Preschool and higher education in the context of digitalization: problem statement

Sociocultural transformation of society, its digitalization dictate certain requirements to the system of education. Adaptation of education processes both in kindergartens and universities is related with readiness of teachers for implementation of digital technologies into education process. The significance of their use in education is accompanied by numerous questions regarding elimination of negative influence of digital content on a forming developing person, on their rational and reasonable application at early stages of social and personal development of preschool children. The conceptual field of pedagogy is supplemented by new categories: digital education, digital education environment, digital competence. This article presents results of teachers’ surveying on the issue of readiness to designing information environment and attitude to the digital technologies implemented into education. On the one hand, the teachers highlighted advantages of the applied information technologies: individual education, possibility to master the program by preschool children and to consolidate knowledge and skills in the case of prolonged absence from studies, time saving, mobility and flexibility of education. On the other hand, the teachers mentioned the main drawbacks of the use of digital technologies: possible harm for health of children, inability of full development of speech, communication skills, development of gaming activity. The main problems preventing active use of modern technologies are comprised of low digital competence of university graduates and working teachers; age features of preschool children, which do not allow to study material without assistance by adults; the lack of opportunities of pupil’s parents to actively participate in educational activity of preschool entity.
Style and technique in spoken word

Spoken word merges with other disciplines, influencing the styles and techniques used. Music, especially hip-hop, is a particularly strong contemporary influence. The history of slam and blending musicality with poetry are briefly charted and critiqued. Traditional forms can be used to explore the humour of contemporary, everyday situations, while freeform approaches may mix poetry with elements of stand-up and theatre, blending humour with more serious topics. This overlaps with immersive solo and small-group shows and micro-theatre, with some practitioners embedding elements of ‘sound poetry’ in their work. Others use constrained writing techniques such as univocalism to produce humour, pathos and absurdism from the restricted vocabulary. Similarly, Dadaist writing may generate found poems, selecting content randomly or using rigid criteria with minimal or no editing. Experimental writing pushes the boundaries of what can be performed while still engaging an audience, and overlaps with fine art. Innovative approaches highlight contemporary issues through techniques such as the application of technology, adoption of non-human voices in ecopoetry, the use of threatened or marginalised languages and dialects, and focusing on forms beyond the Western tradition. The outcome is a diverse and evolving scene from the niche to the mainstream.
Feasibility and Necessity of Application from Video Recorders on Aircraft

Safety occurrences and aviation accidents are common in civil aviation operations. Flight recorders have played an indelible role in accident investigations. However, with the analysis of a large number of accidents/incidents, it has been found that relying solely on the analysis of data and cabin sounds can no longer satisfy the investigation work in today's situation. This article mainly analyzes the feasibility and necessity of video recorders for accident/occurrences restoration and elaborates on more effective efforts and attempts to restore civil aviation safety occurrences more quickly and reliably.
A hybrid Face Recognition Technique as an Anti-Theft Mechanism

Abstract This paper proposes an anti-theft mechanism uses biometric Face Recognition to identify thief along with alarming. This can be used as security for ATMs, airport’s systems, medical records, identify customers, preventing fraud and providing VIP services as well as recognizing individuals with known shoplifting convictions and video surveillance. The proposed system based on Viola Jones algorithm, Wavelet transform and Principal Component Analysis. Experimental results are given to demonstrate the viability of the proposed face recognition system with achieved efficiency is 82%.
Models of quantum search algorithms. Introduction for IT students – pedagogical examples

This article is one of a series of articles on quantum algorithms. The article discusses quantum oracle models and Grover's computational algorithm for search problems in an unstructured database.
Fourier series estimator in semiparametric regression to predict criminal rate in Indonesia

Regression is an analysis for determining relationship between response variables and predictor variables. There are three approaches to estimate the regression curve. Those are parametric regression, nonparametric regression, and semiparametric regression. This study focused on the estimator form of semiparametric regression curve using Fourier series approach with sine and cosine base (general); sine base; and cosine base. The best estimator, which is obtained using ordinary least square optimization was applied to model the percentage of criminal incidents in Indonesia. The goodness-of-fit criteria of a model used are high coefficient of determination, minimum Generalized Cross Validation (GCV) and Mean Square Error (MSE) value with determining parsimony model. In this study, the authors obtained the best fourier estimator for predicting percentage of criminal incidents based on cosine fourier series that had minimun GCV and MSE values, of 2.471 and of 0.0006, respectively, and determination coefficient of 77.545%. So, the estimator (cosine-fourier series) was used for predicting the out-sample data and it met Mean Absolute Error (MAE) of 0.02.
Efficient GSW-Style Fully Homomorphic Encryption over the Integers

We propose a GSW-style fully homomorphic encryption scheme over the integers (FHE-OI) that is more efficient than the prior work by Benarroch et al. (PKC 2017). To reduce the expansion of ciphertexts, our scheme consists of two types of ciphertexts: integers and vectors. Moreover, the computational efficiency in the homomorphic evaluation can be improved by hybrid homomorphic operations between integers and vectors. In particular, when performing vector-integer multiplications, the evaluation has the computational complexity of <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <mi mathvariant="normal">Ο</mi> <mfenced open="(" close=")" separators="|"> <mrow> <mi>γ</mi> <mtext> </mtext> <mi mathvariant="normal">log</mi> <mtext> </mtext> <mi>γ</mi> </mrow> </mfenced> </math> and thus outperforms all prior FHE-OI schemes. To slow down the noise growth in homomorphic multiplications, we introduce a new noise management method called sequentialization; therefore, the noise in the resulting ciphertext increases by a factor of <math xmlns="http://www.w3.org/1998/Math/MathML" id="M2"> <mi>l</mi> <mo>⋅</mo> <mtext>poly</mtext> <mfenced open="(" close=")" separators="|"> <mrow> <mi>λ</mi> </mrow> </mfenced> </math> rather than <math xmlns="http://www.w3.org/1998/Math/MathML" id="M3"> <mtext>poly</mtext> <msup> <mrow> <mfenced open="(" close=")" separators="|"> <mrow> <mi>λ</mi> </mrow> </mfenced> </mrow> <mrow> <mi>l</mi> </mrow> </msup> </math> in general multiplications, where <math xmlns="http://www.w3.org/1998/Math/MathML" id="M4"> <mi>l</mi> </math> is the number of multiplications. As a result, the circuit with larger multiplicative depth can be evaluated under the same parameter settings. Finally, to further reduce the size of ciphertexts, we apply ciphertext truncation and obtain the integer ciphertext of size <math xmlns="http://www.w3.org/1998/Math/MathML" id="M5"> <mi mathvariant="normal">Ο</mi> <mfenced open="(" close=")" separators="|"> <mrow> <mi>λ</mi> <mtext> </mtext> <mi mathvariant="normal">log</mi> <mtext> </mtext> <mi>λ</mi> </mrow> </mfenced> </math> , thus additionally reducing the size of the vector ciphertext in Benarroch’s scheme from <math xmlns="http://www.w3.org/1998/Math/MathML" id="M6"> <mover accent="true"> <mtext>Ο</mtext> <mo>˜</mo> </mover> <mfenced open="(" close=")" separators="|"> <mrow> <msup> <mrow> <mi>λ</mi> </mrow> <mrow> <mn>4</mn> </mrow> </msup> </mrow> </mfenced> </math> to <math xmlns="http://www.w3.org/1998/Math/MathML" id="M7"> <mtext>Ο</mtext> <mfenced open="(" close=")" separators="|"> <mrow> <msup> <mrow> <mi>λ</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msup> <msup> <mrow> <mi mathvariant="normal">log</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msup> <mtext> </mtext> <mi>λ</mi> </mrow> </mfenced> </math> .
Computers and Network

This chapter focuses on the progress of several features of computational mechanics and neural networks. Section 1.1 deals with the computers and the processors, Sect. 1.2 the network technologies, Sect. 1.3 the parallel processing and Sect. 1.4 the numerical precision.
Applying Distance Dynamic Qlearning Partitioning Approach in Group Recommendation System Used in Social Sites

In this era, when people prefer online solution for most of their problems, recommendation system became the most successful tool to solve it. Various method have been introduced to improve the performance and quality of the search engine. We need a system which can design and develop the reporting system not just the latest product. Some other tools and technologies have to be merged with the recommendation system to make it more powerful and user friendly. In this paper, we have combined Group Recommendation System with Qlearning partitioning approach along with Stochastic function to increase the accuracy, precision, recall time and f-measure of the Recommendation System in social sites and the experiments has been explained by using community diagram showing different approach and tools used to make recommendation system more efficient so that it can provide the user friendly environment to the consumers.
MPA‐Net: multi‐path attention stereo matching network

A novel learning-based end-to-end network for stereo matching, named Multi-path Attention Stereo Matching (MPA-Net), is introduced in this study. Different from existing methods, the multi-path attention aggregation module is designed firstly, named MPA, which is a unified structure using three different parallel layers with a respective attention mechanism to extract the multi-scale informational features. Secondly, the method of cost volume construction, which differs from the traditional stereo matching methods, is extended. And then, the absolute difference between two input features is calculated. Furthermore, a u-shaped structure with 3D attention gate is selected as the encoder-decoder module. Specifically, the module is used to fuse the encoding features to their corresponding decoding features under the supervision of the authors' attention gate with skip-connection, and thus exploit more significant information for matching cost regularisation and disparity prediction. Finally, specific experiments are conducted to evaluate their network on SceneFlow, KITTI2012 and KITTI2015 data sets. The results show that their method achieves a better improvement in disparity maps prediction compared with some existing state-of-the-art methods on KITTI benchmark.
Developing Augmented Reality Multi-Platform Mobile Applications

This chapter presents advances in the software engineering field related to the efficient development of multi-platform mobile applications that require access to the device hardware for 3D marker-based augmented reality functions. After presenting the theoretical background that supports the proposed solutions, the complex problem of the development of AR multi-platform mobile applications is introduced. The problem about how to choose a framework for developing multi-platform applications is described, and a general model for developing mobile applications with AR is proposed. The advances were applied to the field of m-learning. A linear algebra educational practice was designed using MADE-mlearn, and an augmented reality mobile app called AlgeRA was developed using MobileRA methodology. The instantiation of the general model for the development of AlgeRA is reported. It includes the development environment, the programming libraries (to manage 3D objects repositories, patterns readers, rendering of images) and the 3D model.
Aided Teaching Platform of Fashion Design Course Based on Cloud Computing

It is the core technology of the next generation network computing platform. It provides reliable and safe data storage, convenient and fast Internet services and powerful computing power. In the field of education, cloud computing provides an environment and platform for online learning, which will positively affect the construction of learners’ personal online learning environment, the construction of school network resources and the development of educational information system. The auxiliary teaching platform of fashion design course based on cloud computing has the functions of interaction and cooperation between teachers and students, teaching resource management, curriculum arrangement and management, and user’s personal information management. By using the information technology socialization service provided by “cloud computing”, schools can save funds, manpower and server equipment investment equivalent to fixed asset costs, reduce the cost and threshold of teachers’ information technology training, facilitate the school’s educational information management, and improve the security of information and data.
Ranging-Measurements-Based Maneuver Detection Method for Space Target Tracking

Abstract Maneuver detection is crucial to improve the performance of space target tracking. A real-time maneuver detection method based on ranging measurements is proposed in this paper. The prediction residual of ranging measurement is selected as the test statistics. Then the maneuver and the outliers can be distinguished by setting multiple hypothesis tests. The traditional strong tracking filters can be improved by applied this detection method. The superiority of the proposed method is verified by a simulation case. Simulation results demonstrate that the new method can provide higher tracking accuracy than the traditional methods when the maneuver and the outliers both exist, and the maneuver and the outliers can be detected exactly.
Quality assurance of higher education in chemistry in Russia taking into account international trends in the context of the cognitive paradigm

In the process of organizing chemistry education, it is important to understand that in the context of the introduction of the cognitive paradigm of education under the conditions of modern generating of chemical knowledge, the system of additional education as a universal form of development leads each student to a new, better state. Within the framework of a new approach to the organization of a purposeful process of teaching and upbringing by means of providing educational services by the implementation of additional educational programs, information and educational activities outside the main educational programs in the interests of students on the basis of the Kazan Federal University, author's electronic educational resources and digitized programs of additional education were developed and tested on the example of theoretical and experimental teaching at the Small Chemical Institute of the University. A survey of chemistry teachers working in schools in the city of Kazan or the Republic of Tatarstan, as well as graduates - future chemistry teachers showed that 97% of respondents use the possibilities of the system of additional chemistry education. The structure and logic of the implementation of the proposed programs expand the ability to use logical thinking operations in teaching, such as synthesis, analysis, analogy, comparison, generalization and systematization, and are aimed at forming students' understanding of a single chemical picture of the world, its materiality and the reasons for the diversity of the natural science world.