Reviewerly/exHarmony huggingface dataset:
Socio-cultural Dynamics of the Media Content of Art Education in the Higher School of the Future

Today, discussions are actively underway about the education of the future, about what it will be based on, what needs of society to respond to, what to fill, in what direction to develop. Visualization is becoming one of the main modern features, moreover, at almost all stages of the educational process. Media and digital technologies have been actively introduced into almost all spheres of society, and, of course, into the educational environment. Solving some of the tasks and goals of education with the use of digital technologies becomes more effective and efficient for both sides of the learning process: both the teacher and the student. The definition of the socio-cultural role of educational media content, the training of teachers professionally proficient in digital technologies, the creation of an information-filled pedagogical effective resource is one of the main tasks of the education of the future. The teacher of the future is a universal professional who possesses digital competencies on a par with students who are representatives of the digital environment and the Internet generation. The modern educational space cannot be successful without the introduction of digital technologies, without the creation of media content. One of the comfortable educational areas where digitalization is successfully included can be called art education, where the aspect of visualization is the main and leading one.
Specificity of the Use of Digital Tools in the Formation of Professional Competencies of Teachers—Defectologists

The article discusses digital tools for the formation of professional competencies of teachers-defectologists in the format of an open educational resource that combines the advantages of a training workshop and practical exercises in the field of training. The digital resource contributes to the formation of future teachers-defectologists as subjects of inclusive activities with a readiness for self-education. The aim of the study is to review and analyze the key characteristics of digital student learning tools and the experience of introducing them into the educational process. The article used the methods of theoretical analysis: the study and analysis of psychological, pedagogical and scientific-methodical literature and Internet resources on the research problem, as well as generalization of the experience of approbation of an open educational resource. The parameters that make it possible to determine the efficiency of the resource use are highlighted: the ability to analyze the anamnestic data of children with disabilities; the ability to diagnose, put a speech therapy conclusion, the amount of rational selection of tools for diagnosis and psychological and pedagogical study of preschoolers with disabilities, taking into account the age and type of impairment; the degree of interaction with other specialists using digital resources, etc. The educational resource “LogopedistPro” was included in the structure of the educational process with the aim of practice-oriented training and the formation of professional competencies of a teacher-defectologist through a system of training tasks. The results of the level of formation of professional competencies of students are analyzed. As a result, 70% of students improved their level using the open educational resource, activated by workshops. It is concluded that the result of using digital tools is to improve the quality of students’ knowledge and develop their ability to study independently.
Simulation of Media Technology Products Functioning in the Communication Space

The development of media communication was the reason for the emergence and development of a single communication space, as a result of which such concepts as “electronic government”, “digital economy” appeared. In the case of our study, the object will be a statement mediated by one or another speech intention and designed according to the laws of natural language. We will resort to modeling the information product of interest to us. Recognizing the variety of ways of modeling, we consider it appropriate to dwell on a model based on the dichotomy of spheres within which the communicative act functions. The object of media communication is the information itself, which is evaluated by the individual in terms of its sufficiency for solving the task or for making a decision that has personal significance for him. Receiving information from any source indicates the realization of the communicant’s goals and, consequently, the success of the communicative act. In the case of our study, the object will be a statement mediated by one or another speech intention and designed according to the laws of natural language.
Psycho-Pedagogical Aspects of Forming a Competence Model of an Executive

The current state and problems of development of agrarian industry and education are in the focus of Russian authorities functioning at different administrative levels. The main task of the agricultural education system is to increase the human resources potential of agroindustrial complex, capable of ensuring food security and global competitiveness of Russia in the world agri-food markets. This article is devoted to identifying the specifics of psychological and pedagogical training, raising the level and expanding the range of competencies (both professional and general language) of postgraduate students who receive specialization, the implementation of which is relevant in the agroindustrial sector of the country. Subsequently, the respondents acquire skills, abilities and knowledge for a comprehensive and polyfunctional realization of themselves as specialists of agroindustrial complex. Under the polyfunctionality of respondents we mean their readiness to realize themselves in the form of a triad – I as a solo worker, I as a team member and I as an executive. For effective self-realization in these statuses, postgraduate students are to have a sufficient and functionally necessary set of competencies, among which professional competencies rank first. Among other competencies we see general cultural and linguistic ones accompanying the professional development of future workers in the agroindustrial complex.
Using Information and Communication Technologies to Solve Educational Problems

At the modern period of development and functioning of society, it is impossible not to notice the significant influence of computer technologies penetrating into all areas of human activity, including communication, medicine, science and, of course, education. Information technologies ensure the movement of information flows in people’s lives, constructing a global information space. In this sense, the computerization of education is becoming an integral and important element of the processes of information and technological development of our time. Modern information technologies are considered by us as technical means of training, integrating audio and visual information of various forms (animation, text, graphics, etc.), implementing an interactive user dialogue with the system and a variety of forms of independent activity of students in collecting, analyzing and processing information. At the present stage of education, the teacher has access to a wide range of digital technologies used to ensure highly productive work on mastering a foreign language: computer equipment, Internet, e-mail, cellular communications, wi-fi, software, satellite technologies, multimedia, etc.
Forensic application of Ir spectroscopy for the analysis of automobile paint traces

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Navjot Kaur, Vishesh Jain, Priyanka Verma; Forensic application of Ir spectroscopy for the analysis of automobile paint traces. AIP Conference Proceedings 3 February 2023; 2558 (1): 020055. https://doi.org/10.1063/5.0130321 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
Battlefield situation aggregation display technology based on meanshift

In recent years, with the continuous development of battlefield situation technology and the continuous improvement of battlefield information collection capabilities, the types and quantities of targets on the battlefield are diversified. This complicates and confuses the presentation of the plot, and the expression of the plot information is not clear enough. In order to give full play to the prompting and labeling function of the plot, solve the problem of display confusion and delineate the formation of unknown units, the clustering algorithm will be used to aggregate the neighboring plots. As a multi-resolution display of the map, the aggregation range needs to be adaptively adjusted according to the resolution. In this paper, the clustering algorithm of double mean shift is used to perform unit formation clustering on the plot, and cluster display. By designing the adaptive bandwidth aggregation formation based on the unit density change and the adaptive bandwidth based on the scale change, the map drawing can be displayed intelligently.
Predicting day-ahead photovoltaic power using CNN-BiLSTM and attention mechanism

Highly accurate forecasts of day-ahead PV output are an effective way of dealing with the uncertainty of a high proportion of renewable energy generation on a growing power system. At the same time, PV output is highly intermittent and stochastic, making accurate forecasting difficult to achieve. In this paper, a hybrid neural network model consisting of a convolutional neural network with an attention mechanism and a Bi-directional long and short-term memory network is used to forecast the PV system data of the Yulara town for the first hour of the day. The correlation between the historical data and the data to be predicted was also compared using the MIC metric, and it was found that the correlation between the historical data and the data to be predicted at the same time from one week ago to one quarter ago was very high, thus adding it to the dataset to improve the prediction accuracy. Root mean square error and mean absolute error were used as evaluation metrics for the forecasting models. Compared with multivariate LSTM, support vector regression and decision tree regression, the evaluation metrics of the proposed methods in this paper are all better.
Expert System Using Certainty Factor Method For Adjustment Of Learning Styles With Students

Alignment of students with learning styles greatly affects the quality of learning of students in educational units. With good learning quality, the passing rate of students in an educational unit will also increase and can produce quality graduates. So far, the learning process implemented in this school has been going well when viewed based on the number of students graduating with the number of students present, but so far no further research has been conducted regarding this suitability so that the effectiveness of student learning is still not optimal. Based on this, the research objective is to build an Expert System with the Certainty Factor method to adjust the learning styles of students at SMK PGRI 5 Denpasar. Based on the results that will be obtained through the system designed and built in this research, it is hoped that it will make it easier for educators to prepare learning models and strategies that will be given to students from the results of determining student learning styles. The research results obtained from the test results show 100% suitability in giving dominant results to students' learning styles. In this study the students who were used as the test sample had different learning style percentage accuracy so that it could be used to determine the right learning style for each student.
Collaborative Localization Method Using Analytical and Iterative Solutions

In this chapter, the collaborative localization method using analytical and iterative solutions is introduced. The analytical localization method is used to remove abnormal arrivals since it can obtain a stable solution with high precision when the input data is accurate. To reduce errors induced by the dynamic wave velocity, the iterative solution without the need for premeasured P-wave velocity is used to improve the locating accuracy since it can optimize results using the advantage of multiple sensors. The method is validated by locating blasting sources and microseismic sources.
An estimation of net radiation from global solar radiation in the main regions of Thailand

Abstract Net radiation can be used for different purposes, especially for studying the energy or radiation balance, which can be further analysed to investigate a global warming. In order to utilize these applications, it is necessary to know the amount of net radiation in that area. This can be done by installing a net radiometer for measuring the net radiation. However, there are few monitoring stations of net radiation compared to a global solar radiation in Thailand. Therefore, this research aims to analyse a statistical characteristic of the measured net radiation and to develop a model for estimating the net radiation from the global solar radiation at four solar monitoring stations in the main regions of Thailand, namely Chiang Mai, Ubon Ratchathani, Songkhla and Nakhon Pathom during the year of 2017 to 2021. The results showed that the most net radiation of these stations had a range of 8 to 14 MJ/m 2 . The relationship between daily and monthly average daily net radiation and global solar radiation was found to be a linear. After that, the developed model was validated by comparing the estimated and measured net radiation. The discrepancy between the calculated net radiation and that obtained from the measurements was presented in terms of root mean square difference (RMSD) and mean bias difference (MBD) ranged from 6.98% to 16.03% and -1.82% to 7.09%, respectively.
A model for the estimation of global spectral solar irradiance under all-sky conditions for Nakhon Pathom station, Thailand

Abstract In this work, a model was developed to estimate global spectral solar irradiance under all-sky conditions using data from the Nakhon Pathom station, Thailand. This model expresses the global spectral solar irradiance under all-sky conditions as the multiplication of two functions. The global spectral irradiance under clear sky conditions from the calculation and the cloud correction factor are considered in the model. The cloud correction factor is a function of the cloud index from Himawari satellite data and the ratio of global spectral irradiance under all sky conditions and clear sky conditions. The global spectral irradiance was measured at Nakhon Pathom station using a spectroradiometer (EKO, MS-710) from 2017 to 2019. Model validation was computed using the 2020 dataset. The global solar spectral irradiance from measurements and calculated from the model were found to be in reasonable agreement, with discrepancies in mean bias difference and root mean squared difference of 4.85% and 14.21%, respectively.
Coordinates transformation method for pointer gauge reading by machine vision

Abstract In this report we present a machine vision algorithm for pointer gauge reading based on coordinates transformation. Since a pointer gauge is a polar representation of a linear scale, it is possible to transform its polar reading to the original linear counterpart. Once the picture of a pointer gauge is captured digitally, we can assign the polar positions to each pixel of the image. Those polar coordinates can be plotted on a rectangular frame to form a transformed image. The scale lines and the pointer are transformed to point vertically (or horizontally). Locations of the scale lines and pointer can be obtained from their pixel histograms maxima. The main advantage of our algorithm is its simplicity. We can read the pointer orientation and scale lines position of a pointer gauge directly from its geometrical structure. The complication of feature extraction process from the conventional algorithm, e.g., Hough transformation, can be avoided. We have tested the algorithm with the ideal and real image of pointer gauges. In the latter case, even though there are some noises on the transformed image, the locations of pointer and scale lines can still be easily found. Due to its simplicity, our algorithm is fast. We expect that our method can be useful in practice as an alternative machine vision algorithm when the real time pointer gauge reading system, e.g., the automatic dial gauge tester, is needed.
Quantified Grapho-Phonemic Systematicity in Korean Hangeul

Hangeul, the Korean orthography is well known for its scientific design that emphasizes the link between sounds and letter shapes. However, it hasn&amp;rsquo;t been asked so far &amp;lsquo;how systematic&amp;rsquo; it is. We quantify, for the first time, the grapho-phonemic systematicity of hangeul. We defined Korean phonemes as binary vectors according to articulatory features and then measured the pairwise phonemic distance between phonemes using multiple methods. We measured the pairwise visual distance between letter shapes by (a) stroke share rate, which reflects the original principles of hangeul&amp;rsquo;s creation, and (b) Hausdorff distance (Huttenlocher et al., 1993), which measures topological difference between images. We then tested the correlation between the phonological distances and the corresponding orthographical distances. Positive correlations clearly indicated that similar letters tend to have similar pronunciations in Korean hangeul. Stroke share rate maximizes hangeul&amp;rsquo;s grapho-phonemic systematicity. Hausdorff distance, an initial step in the detailed quantifying of visual distance, allows similar calculations to be carried out with any hangeul font and with any other orthography (Jee, Tamariz, &amp;amp; Shillcock, 2021; 2022a; 2022b). Consciously designed to be phonologically transparent, hangeul can be considered as the gold standard of grapho-phonemic systematicity. We discuss the implications of this systematicity.
Blockchain-Based Ciphertext Policy-Hiding Access Control Scheme

Ciphertext policy attribute encryption(CP-ABE) can realize one-to-many fine-grained access control, which can effectively solve the security problem of shared data. However, most existing CP-ABE protocols exhibit a single point of failure and access policy privacy disclosure problems. To resolve these issues, a blockchain-based ciphertext policy-hiding access control scheme is proposed. First, we propose a vector generation algorithm using vector compression techniques that can improve the efficiency of our scheme. Then, the privacy policy is protected by combining CP-ABE and inner product encryption. We then solve the user attribute revocation problem and single point of failure in the cloud-based access control models using ethereum. Finally, security analysis, the theoretical results, and experimental results show that the proposed solution is secure and efficient.
Decentralized and Efficient Blockchain Rewriting with Bi-level Validity Verification

Numerous studies have established that the immutability, a crucial property of blockchains, need to be delicately broken under certain circumstance as the content in blockchains could be compelled to redact for personal or legal reasons. Existing schemes ordinarily leverage policy-based chameleon hash (PCH) to perform fine-grained rewriting on blockchains, where modifiers with attributes satisfying the access policy can be authorized to modify the content in the blockchain. However, these schemes rely on a single trusted authority for managing rewriting permissions, which could be affected by a potential single point of failure. Meanwhile, heavy computations in such schemes might affect the performance in practical use. To address these limitations, we propose a decentralized and efficient blockchain rewriting scheme with bi-level validity verification. With the integration of the multi-authorities attribute-based encryption, our scheme supports the modifier to obtain rewriting secret keys from various authorities for performing rewriting at transaction level. Moreover, computationally intensive operations in our scheme can be performed in stages and partially outsourced to the proxy server. As an assurance of security, our scheme provides bi-level validity verification for the rewriting secret key and the content on blockchain. Moreover, we present formal security analysis and conduct comparison experiments to illustrate the advantages in both functionality and performance.
Research on a feature fusion-based image recognition algorithm for facial expression

In order to solve the problem that recognition rate of facial expression images is easily affected by non-uniform illumination factors, an improved face recognition algorithm is proposed in this paper. Firstly, a facial expression image with Log-Gabor feature vectors of multiple scales and directions is extracted from a face image, and then all the Log-Gabor feature vectors are blocked in a unified way. Secondly, gist algorithm is applied to extract gist feature blocks from Log-Gabor feature vector image, and then all those blocks are cascaded together as the feature vectors of a face expression sample. The fused feature vectors of the face expression sample are trained as the input feature of the stacked auto-encoder (SAE). Finally, the trained expression features are input into the classifier for recognition to obtain the final recognition result. Whether it is in the facial expression database JAFFE or the Uyghur facial expression database, its facial expression recognition rate is the highest, which verifies the superiority of the algorithm we put out in this paper.
A New Exploration of Stratified Teaching Strategies in Secondary Vocational Schools Assisted by Precise Stratification

With the deepening of educational reform, the curriculum standards of secondary vocational schools emphasize the importance of students' dominant position, the improvement of teachers' teaching methods, and the cultivation of core literacy as an important task.However, it is worth noting that in the stage of secondary vocational education, there are obvious individual differences in students'mathematical foundation, learning level and overall mastery of knowledge.If we do not pay attention to it and still adopt a unified way of teaching and review, it will inevitably lead to some students unable to keep up with the teaching progress and affect their learning.Therefore, teachers must actively adopt hierarchical teaching methods to implement classroom teaching to ensure that students at each level can make progress on the original basis.