Reviewerly/exHarmony huggingface dataset:
Human-Designed Filters May Outperform Machine-Learned Filters.

Machine-learned image processing systems in medical imaging have shown better results than those obtained by traditional human-designed techniques. The success of machine learning techniques inspires humans to design better systems. The convolutional neural network (CNN) has a multi-channel architecture, which the conventional filters do not have. This paper proposes that by borrowing the multi-channel architecture, the human-designed denoising filter can have better performance than the machined-learned version. We illustrate the feasibility of this idea with a toy example in a sinogram denoising task in the area of tomography.
To group or not to group? Group sizes for requirements elicitation

Requirement elicitation can be done by individuals or by groups. Computer-based system development life-cycle models suggest having people working together for many steps. Also, recommendations about analysis and design methods indicate that some processes could take advantage of group work. In requirements engineering, groups are suggested for requirements elicitation. From the software and the requirements engineering viewpoints, and in turn for companies, a relevant overall research question is “What is a suitable size for a requirements elicitation group?” Our goal was to answer this question, first by looking for available guidelines in textbooks and secondly by investigating requirements elicitation in companies. To address the research question, we conducted two studies. The first was a review of most widely adopted software and requirements engineering textbooks. The second was a study aimed at identifying factors affecting group size for requirements elicitation, based on an online questionnaire submitted to professional analysts. The review of the textbooks showed that very few give advice on the number of analysts to involve in requirements elicitation sessions. When they do, guidelines are quite general and not supported by empirical data. According to data gathered from the questionnaire, most companies use and suggest using small groups. Data also allowed identifying four categories of factors useful to make decisions about requirements elicitation group sizes: people, relation, project, and output. Both the textbook review and the data from the questionnaire say that it is better to aim for small groups than to have individual analysts working separately. The ideal number of analysts for a requirements elicitation session appears to be 2, but large groups are necessary in some cases. Factors in all the four categories have to be considered in deciding the size of groups.
Learning complementary semantic information for zero-shot recognition

Accurate attribute representations are critically important in Zero-shot Learning (ZSL) as most ZSL methods need utilize the shared visual-semantic embedding to transfer knowledge from seen to unseen classes. However, many existing works directly recognize semantic attributes using a common image classification framework, which could fail since the differences of attribute representations among various images are ignored. We claim in this paper that attribute annotations contain complementary information that should be handled separately to better recognize them. To this end, our method consists of two branches: the Attribute Refinement by Localization (ARL) branch and the Visual-Semantic Interaction (VSI) branch. The ARL is used to refine the representations of tangible attribute information by channel selection and spatial suppression, which can more accurately localize the visual information relevant to an attribute. To effectively model the abstract attribute information, our VSI branch performs visual-semantic interaction by integrating the attribute prototypes into the visual features. By combining the proposed two branches, we can accurately model the complementary attribute information for ZSL. Extensive experiments are conducted on three benchmark datasets, and the results validate the effectiveness of our proposed method with considerable performance improvement over state-of-the-art methods.
Denoising by Decorated Noise: An Interpretability-Based Framework for Adversarial Example Detection

The intelligent imaging sensors in IoT benefit a lot from the continuous renewal of deep neural networks (DNNs). However, the appearance of adversarial examples leads to skepticism about the trustworthiness of DNNs. Malicious perturbations, even unperceivable for humans, lead to incapacitations of a DNN, bringing about the security problem in the information integration of an IoT system. Adversarial example detection is an intuitive solution to judge if an input is malicious before acceptance. However, the existing detection approaches, more or less, have some shortcomings like (1) modifying the network structure, (2) extra training before deployment, and (3) requiring some prior knowledge about attacks. To address these problems, this paper proposes a novel framework to filter out the adversarial perturbations by superimposing the original images with the noises decorated by a new gradient-independent visualization method, namely, score class activation map (Score-CAM). We propose to trim the Gaussian noises in a way with more explicit semantic meaning and stronger explainability, which is different from the previous studies based on intuitive hypotheses or artificial denoisers. Our framework requires no extra training and gradient calculation, which is friendly to embedded devices with only inference capabilities. Extensive experiments demonstrate that the proposed framework is sufficiently general to detect a wide range of attacks and apply it to different models.
The method of intuitive drawing in the practice of individual counseling of employees of internal affairs bodies

The article discusses the possibility of using the method of intuitive drawing (one of the methods of art therapy) in individual counseling. The detection and positive transformation of unconscious chronic negative emotional states is solved with the help of spontaneous images expressing a problematic emotional state with subsequent analysis of these images. The method of intuitive drawing is a method of dialogue between the personality and the unconscious. The purpose of this article is to consider the method of intuitive drawing as a diagnostic tool during an individual consultation conversation. A person works on himself in cooperation with a psychologist who helps to understand the negative emotional state and the causes of its occurrence. To determine the features of the functioning of the internal structures of the personality, the perception of important elements of the problem, it is proposed to draw a "landscape" using the method of intuitive drawing. The article reflects examples of consulting practice with employees of internal affairs bodies, shows the possibility of using this method as a diagnostic tool
Hybrid training model as a component of the integrative approach for the formation of universal competencies of cadets of a military university in learning a foreign language

the article raised the question of the emergence of diverse views on the concepts of "hybrid," "hybridization," "hybrid learning" and the processes they call in higher education, as well as the directions of application of these one-root words that arose in connection with this multitude, the need to figure out what is and whether such names are legitimate for transformational processes in modern pedagogy. In addition, emphasis was placed on the merits and disadvantages of each process and what contradictions arise in connection with the use of hybrid forms in higher educational institutions.&#x0D; The study presents the author's hybrid model of interaction, with the help of which universal competencies are formed among cadets of the Branch of the Military Academy of Strategic Missile Forces (FVA Strategic Missile Forces) named after Peter the Great when studying a foreign language. A description is given of each component of the hybrid model of interaction, as well as the peculiarities of its application depending on specific situations, external factors, training of cadets at the initial stage of training, assessment of their capabilities and time frames of training. The hybrid model is considered in the view of the integrative approach in the educational process of a military university, the definition of the integrative approach is given and the relation of the hybrid model to this approach is specified.&#x0D; The subject of research is the concept of hybridization in the field of higher education.&#x0D; The purpose of this study is to create an idea of new terms and describe various views, meanings, scientific approaches, the evolution of the concepts of "hybrid," "hybridization," "hybrid learning," "hybrid model" which are associated with education, ways of transferring new knowledge and their connection with the main tool - language as a means of communication and knowledge exchange. Theoretical research is carried out in the field of higher education, the purpose of the research is also to reflect its point of view regarding the above names, which have recently been of particular relevance in the educational environment, especially if the educational process takes place in a military institution for the training of future officers, in particular, the study of the foreign (English) language of specialized areas in a non-linguistic university of the Peter the Great Strategic Missile Forces will be considered.&#x0D; Finally, a summary table of all the described concepts of hybridization is presented and a conclusion is made about the nature of the emergence of hybridization in education and its relevance to date.
Multiparametric psychological diagnostics of propensity to gaslighting in interpersonal relationships

The article focuses on the study of the main psychometric characteristics of the author's questionnaire for assessing the propensity to gaslighting in interpersonal relationships. A multiparametric approach to the psychodiagnostics of the phenomenology of gaslighting is defined as the subject of scientific research, the goals are to develop a diagnostically significant model for assessing the propensity to gaslighting in interpersonal relationships, implementing it in the questionnaire of the same name with its subsequent approbation. The research methodology was based on axiological, humanistic, activity and polysubject approaches in psychology, relationship theory and deviantology. Semantic content analysis, expert survey, psychological testing, self-assessment were used at different stages of scientific research. The total volume of the empirical sample was 165 people (including 17 experts and 148 subjects). Mathematical and statistical data processing involved the calculation of descriptive statistics and correlation analysis, which was implemented in MS Excel and IBM SPSS Statistics v 27 software products.&#x0D; Based on the results of theoretical and analytical research, a six-parametric gaslighting model was developed, which was the basis for the corresponding questionnaire. The measuring framework of the methodology and the degree of severity of gaslighting is formed by six private scales: 1) «behavioral intolerance»; 2) «expressive dominance»; 3) «projection of personal problems»; 4) «intrigue» (manipulation); 5) «verbal-behavioral discongruence»; 6) «devaluation of the other», from which an integral indicator is formed. During the psychometric study of the questionnaire, its high criterion validity was confirmed – statistically significant correlations with self-assessments of the same name were established (Rs = 0.42-0.63 at p=0.01). It is assumed that the technique has a good diagnostic potential, and can be used to study the phenomenology of gaslighting. Innovative are: the stimulus material of the questionnaire, the description of diagnostic scales, psychometric parameters of the methodology. The material makes it possible to provide psychodiagnostics with innovative diagnostic tools that provide solutions to a wide range of tasks in the field of not only psychodiagnostics, but prevention, assistance and correction
On the modification of higher professional education in connection with the spread of clip thinking among young people

The article summarizes the mechanisms of formation and key features of clip thinking based on the latest scientific data. The aspects of the discrepancy between the characteristics of clip thinking and the characteristics of the traditional educational process of higher education that reduce the degree of psychological safety of students are considered. As an illustration, the intermediate data of own research are given. For the first time, a systematic approach to the modification of the process of higher professional education, including three blocks, is proposed. The first is the reorientation of the format of the presentation of the material from text to figurative. The second is the correction of the curricula themselves in the following areas: facilitating the systematization of professional knowledge, developing the strengths of clip thinking, creating conditions for the development of systemic thinking. The third is the formation of motivation for the student to master the intellectual skills of systems thinking and compliance with personal information hygiene. The article has an applied meaning – its provisions can be used to correct the curricula of higher education.
Management of interpersonal relations in a team

a modern leader must create conditions for well-coordinated work in the team, but it is noted that conflict situations may arise from time to time, in order to exclude such situations, it is necessary to create conditions for employees to perform their professional and managerial activities. In the scientific literature, a general theoretical foundation for the study of professional and managerial activities by domestic and foreign researchers has been developed. It was revealed that the performance of tasks in various departments of the organization has a professionally oriented character and is based on a personality-activity approach, which considers the individual psychological characteristics of employees, their abilities, cognitive styles, interests, needs, motives and professionally significant qualities. All this, at the present stage, especially in organizations with a small number of employees, requires additional research in the management of interpersonal relationships in a team.
Shearlet-based intensity classification loop filter for video coding

The new Versatile Video Coding standard (VVC) exhibits a significantly higher coding efficiency in comparison to its predecessor High Efficiency Video Coding (HEVC). Since the finalization of VVC in July 2020 many new in-loop compression tools were suggested, especially with data-driven approaches. The question arises if non-data-driven in-loop filtering approaches can further increase coding efficiency beyond the capability of VVC. In this paper we approach the task of filtering images corrupted by quantization noise from the perspective of applied harmonic analysis, an area of applied mathematics focusing on the efficient representation, analysis and encoding of data. The shearlet-based intensity classification loop filter (SCLF) is a novel non-data-driven approach using an overcomplete and sparsifying transform, the shearlet transform. The basic idea is to achieve a signal-noise separation by applying a shearlet transform. Shearlets can identify important structures of natural images such as edges in the sparse transform domain. Each shearlet transform coefficient is classified into different classes. All coefficients with similar intensities are grouped into the same class, which eventually gives a partition of the set of all shearlet coefficients. This separates important information from noise and ensures an accurate reconstruction of original information by performing an inverse shearlet transform combined with Wiener filtering separately for each class. SCLF effectively removes compression artifacts and therefore restores subjective visual quality. Simulation results show that by adding SCLF to the in-loop stage yet further average bit rate reductions of up to 1.5% are achieved for JVET common test sequences.
HLOChain: A Hierarchical Blockchain Framework with Lightweight Consensus and Optimized Storage for IoT

Blockchain can effectively deal with the security and trust issues in Internet of Things (IoT) due to its salient features including decentralization, immutability, traceability, openness, and transparency. However, most IoT devices have too limited computing, storage, and bandwidth resources to maintain the complete operation of a blockchain system. To this end, we propose a hierarchical blockchain framework called HLOChain for IoT scenarios. First, according to computing and storage capabilities, the IoT devices are classified into three levels, i.e., high, medium, and low. They are deployed on different layers. In this way, a hierarchical blockchain architecture is designed. Second, we propose a lightweight proof of random (PoR) consensus mechanism to provide low-energy block mining, so that even the medium nodes can participate in the consensus task. Third, in order to reduce the ledger storage overhead, we design a blockchain storage optimization strategy based on the account model. Finally, the security analysis demonstrates that our HLOChain is secure against double-spend attack, Sybil attack, and so on. The experimental evaluation shows that our HLOChain achieves better performance in ledger storage cost, consensus computing cost, throughput, and transaction confirmation latency.
Automatic Testing of the Correctness of a Website Layout using the Layout Graph: An Experiment Report

Web developers utilize responsive web design principles and frameworks to develop websites that are accessible on various platforms. As consumers often access websites through laptops, tablets, mobile phones, and desktop computers, it is necessary for the website to adjust its appearance according to the device's display frame width. However, the quality assurance process for responsive web pages is typically manual, time-consuming, and error prone. This study introduces ReDeCheck, an open-source automated website layout checking tool developed by Thomas A. Walsh, Gregory M. Kapfhammer, and Phil McMinn. The tool identifies the most common types of responsive design failures by utilizing a set of display frame widths based on the presentation of the website's dynamic layout, also known as the Responsive Layout Graph. This paper verifies the tool's functionality and its underlying concepts.
Guest file system behavior for type-2 hypervisor-based virtualization in VMware Workstation

This paper presents a comparison of different guest file systems on the specific hosted hypervisor. Chosen hypervisor was the VMware Workstation 15.1 and used file systems were XFS, Btrfs and ext4. To receive the most realistic results we decided to set identical virtual machines (VM) for all measurements: first with a single VM and latter with two VM running at the same time. The host operating system (OS) was Windows 10 and guest OS Centos 7.9. To analyze expected behavior from our hypothesis we have used Filebench measuring tool for getting test results.
The Automation of Client Servicing in University and College Admission Office

Automated customer service using modern infocommunication tools is one of the main technological trends. Chatbots that combine elements of live communication and self-service are very popular. Their main advantage is the ability to serve a large number of requests of the same type. Chatbots reduce the workload on contact center operators and enable them to deal with more complex tasks and issues. The article considered the development of a chatbot for the university admissions office. This is an actual task, since many higher education institutions are still experiencing difficulties in automating responses to routine requests from applicants. Poor information service leads to the loss of potential students. The development of a chatbot is preceded by a sociological study of the main topics of interest to applicants. Further in the text of the article, the process of developing a chat bot is given. The final section describes the mathematical model of the contact center using the chatbot, which will be used in further research.
Transforming Dublin Core (X)HTML Descriptions to RDF Model Using RDF Mapping Language

In the present paper, an approach to transform Dublin Core descriptions of (X)HTML web pages into an RDF (Resource Description Framework) model by using the RDF Mapping Language (RML) is proposed. RML rule variants according to Dublin Core recommendations for embedding metadata in a web page using HTML/XHTML elements are systematized. The advantages of the proposed approach are summarized. The accessibility of the formulated RML rules is ensured.
In pursuit of appropriate private blockchain platform for higher education institutions

Maintaining and establishing transparency, security and privacy, when the data that should be included as part of documents that should serve as public educational documents in the labor market, are a challenging task, especially nowadays when we have more frequent cyber-attacks on public institutions. Setting up the security mechanisms of information systems that should store, process and show this type of data can be a very demanding job. For this reason, the introduction of new technologies in this area, such as blockchain technology, leads to considerable system and implementation relief. In this paper, private blockchain platforms are analyzed from the point of view of processing digital certificates or diplomas in the higher education system. An overview of the most popular platforms of this type is given. The most appropriate solution for these needs are discussed and proposed.
Assessment of Information Capacity of Compressed Video Sequences for Information Security Systems

During the exponential increase in online video streaming services, the development of information concealment technologies directly depends on video encoding and is essential for video streaming companies. The structure of the video remains to contain areas invisible to humans and can be used to conceal prohibited content. Steganography is a science exploring various methods of hiding information in multimedia objects, which should remain undetectable both statistically and for human perception. A large variety of video content can be used as a container to conceal information from unauthorized viewers. To solve this problem, the current research focus is on finding areas, where information can be hidden, or, in other words, areas inaccessible to human perception. The conference work proposes a new method and hardware-software system for creating a new assessment of the information capacity of compressed video sequences for information security systems, which would allow providing recommendations for the protection and detection of prohibited information in the network.