Reviewerly/exHarmony huggingface dataset:
IMPLEMENTATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN MUSIC CLASSES IN PRE-SCHOOL EDUCATION INSTITUTIONS

The author deals with the new problem of the specifics of theimplementation of information and communication technologies in musiclessons in preschool education institutions. A detailed analysis oftheoretical, applied, practical, scientific research devoted to the questionof the expediency of using information and communication technologiesin the modern educational space has been carried out. An interpretationof the meaning of the terms «the age of digital technologies»,«information and communication technologies», «preschool child» isprovided, the main developments of foreign and domestic scientists onthe investigated problem are presented. The main legislative documentsof Ukraine, which focus on the implementation of information andcommunication technologies in the educational practice of preschooleducation institutions, were reviewed and analyzed. It is emphasized thatthe increasing pace of development and application of information andcommunication technologies in Ukraine and the world actualizes the needto improve the quality of knowledge of modern Ukrainian music directorsand teachers of preschool education institutions in matters of musicaleducation of preschool children. The main ways of introducing informationand communication technologies in music lessons in preschool educationinstitutions are characterized. The main goal of the article is totheoretically substantiate the importance of using ICT in music classes forpreschool children in preschool education institutions.
A calibration method for LED point light sources in near-field photometric stereo

In near-field photometric stereo vision, the accurate calibration of the light source position directly affects the precision of the reconstruction results. Traditional calibration techniques rely on a highly reflective sphere and exploit the specular reflection properties at highlight points for determining light source positions. However, in real-world scenarios, nonuniform lighting conditions often leads to errors in extracting the sphere's image edges, affecting the accuracy of light source position calibration. Therefore, we propose a method for calibrating light source position based on a novel target. This method involves detecting planar reference points that are less sensitive to the lighting conditions and leveraging the pose relationship provided by the planar reference points to effectively overcome the adverse effects of lighting conditions on light source position calibration. Experimental results demonstrate that this method significantly enhances the precision of light source position calibration under non-uniform lighting conditions, eliminating the constraint of light source position calibration on specific lighting environments.
Multiple-image authentication scheme based on the phase-only holograms

A multiple-image cryptographic authentication scheme based on phase-only holograms is proposed in this paper. First, computer-generated holograms of original images to be authenticated are encoded to phase-only holograms using the Floyd-Steinberg error diffusion algorithm. Second, each phase-only hologram image is randomly sampled as the sparse representation with the help of its random binary mask. Finally, the phase-only ciphertext containing the information of original images is obtained by integrating all sparse representations using their binary masks. The existence of each original image can be verified by calculating the nonlinear correlation map between it and its corresponding decrypted result. High security level of this cryptosystem can be achieved by considering random binary masks as secret keys. This work provides an effective alternative for the related research based on computer-generated holograms.
CycleSR: unsupervised learning for 3D fingerprint super-resolution

Fringe projection profilometry has been applied to measure 3D information of fingertip and collect contactless 3D fingerprints. When low-resolution (LR) camera is used in the system due to reasons such as cost, the captured fringe patterns may appear blurry, which results in less obvious contrast between valleys and ridges in the reconstructed contactless 3D fingerprints. To address this issue, we introduce an unsupervised super-resolution (SR) method that solely relies on low-resolution fringe patterns. Our approach combines a two-loop generative adversarial network. In the forward loop, a binarized interpolation loss function is designed to ensure that the upsampling generator preserves ridge and valley details. In the backward loop, the discriminator ensures that the fringe patterns produced by the downsampling generator are both repeatable and similar to the original fringe patterns. Finally, the fringe patterns are reconstructed to obtain 3D fingerprints. Experimental results demonstrate the advantages of our proposed method.
METHODS AND TECHNIQUES OF OPTIMIZING THE CONDUCTING AND CHORAL TRAINING OF A MUSIC TEACHER IN THE CONDITIONS OF FORMAL AND INFORMAL EDUCATION

In the article, the object of research is the process of optimization ofconducting and choral training of a music teacher in the conditions ofintegration of formal and informal education.The subject of the study is the uniqueness of the professional trainingof a music teacher in the context of the integration of formal andinformal education.The article analyzes the theoretical-methodical and acmeologicalbases of optimization of conducting and choral training of a musicteacher in the conditions of integration of formal and informaleducation; the methodological substantiation of the concept ofoptimization of conducting and choral training of a music teacher in theconditions of integration of formal and informal education is considered.The purpose of the work is to investigate and substantiate the methodsof optimization of conducting and choral training of a music teacher inthe conditions of integration of formal and informal education.The article uses the following research methods: theoretical methods –analysis and synthesis, induction and deduction, abstraction andidealization, generalization, analogy and modeling, the method ofascent from the abstract to the concrete; empirical methods:observation, study of documentation and products of educationalactivity, generalization of independent characteristics, study andgeneralization of advanced pedagogical experience.The practical significance lies in the scientific and methodologicalprovision of the process of professional development and selfrealizationof future music teachers in secondary education institutions.
RECOMMENDATIONS FOR PEDAGOGICAL WORKERS AND PARENTS REGARDING PEDAGOGICAL SUPPORT OF YOUNG CHILDREN IN EMERGENCY SITUATIONS

Тhe article is devoted to the urgent problem of providing the youngestmembers of society – young children (from 1 to 3 years) with reliable andeffective pedagogical support during emergency events. An interpretationof the meaning of the terms: «early age», «pedagogical support»,«emergency situation» is provided, the main developments of foreign anddomestic scientists on the investigated problem are presented. An urgentproblem today is the need to highlight the importance of understanding byteachers and parents/guardians the peculiarities of children's developmentat an early age during stressful situations. The main goal of the article is toprovide specific pedagogical recommendations to both teachers andparents/guardians, which will effectively contribute to the adaptation,learning, upbringing and development of young children affected byemergency situations; to emphasize the importance of joint work andmutual understanding between pedagogical and family factors to improvethe quality of pedagogical support for young children in crisis situations.Specific pedagogical recommendations are described, both for pedagogicalworkers and for parents/guardians, who play a key role in shaping theresilience and well-being of young children in emergency situations.
Measurement depth modeling and extension for geometric constraint phase unwrapping method

As an important phase unwrapping method in Fringe Projecting Profilometry, the geometric constraint enables pixel-by-pixel computation while avoiding the projection of additional patterns. However, its measurement depth is limited to one fringe period and influenced by multiple factors from the camera-projector system. There is still a lack of a generalized model that can describe the measurement depth. In this paper, to completely understand the variables related to the measurement depth, we analyze the unwrapping process of geometric constraint and derive a generalized model. To validate the key variables in the model, we establish a virtual camera-projector system and conduct simulations. Based on the simulation results, we propose four ways to extend the measurement depth, including (a) selecting a reference plane farther away from the camera, (b) designing the fringe patterns with fewer periods, (c) using the shorter focal lens and (d) reducing the camera-projector distance.
Adaptive-resolution-based high-resolution indoor 3D perceiving in fringe projection profilometry

Fringe projection profilometry (FPP) is one of the most widely used optical three-dimensional (3D) perceiving techniques. However, in the realm of indoor 3D perceiving, achieving high-resolution data proves challenging due to the inherent trade-off between sampling resolution and measurement scale. This paper introduces an adaptive-resolution-based method to address this challenge. Specifically, the approach leverages the super-resolution reconstruction technique to enhance the resolution of captured fringe patterns, where an end-to-end fringe pattern super-resolution network (FPSRNet) is constructed to adaptively achieve different super-resolution values. The desired high-resolution 3D results can be reconstructed from these new patterns. Experimental results verify the effectiveness of the proposed method in indoor 3D perceiving.
Body measurement based on a multiview structured light 3D imaging system

In this paper, a multi-view structured light three dimensional (3D) imaging system is descried, which can perform rapid 3D reconstruction of the human body and automatically extract anthropometric data from it. This system contains 12 sets of 3D imaging sensors distributed on four pillars. Each 3D imaging sensor consists of a binocular stereo system, an Infrared laser projector and a synchronous control system based on the Field Programmable Gate Array (FPGA). The projector provides phase-shifting fringe patterns and gray code for the binocular stereo system to make 3D reconstruction. The FPGA control system enables the sensor to achieve high speed scanning. A two-step calibration method is used to calibrate the internal and external parameters of each 3D imaging sensor and external parameters between these sensors. After the 3D human body data acquisition, major body joints will be extracted as key-points. In this process, the initial location of these key-points are extracted based on a deep learning method, and then they are further corrected with local point cloud analysis. With the assistance of these key-points, the anthropometric data, such as distances (lengths, breadths, heights) and circumferences of the human body, can be calculated from its 3D data. Based on the techniques described above, the multi-view 3D imaging system can complete the whole body scanning in 2 seconds and automatically measure more than sixty dimensional data after analyzing the reconstructed 3D human data.
3D measurement of large and complex parts based on phase matching and global marker points registration

Current requirements resulting from high quality standards and mass production call for an efficient and reliable manufacturing technology. With the aim of meeting the needs of accurate and efficient inspection of massive industrial parts, we propose a novel large-field measurement technique to measure weakly textured, complex reflective surface on large-size parts. We introduce a small-field-of-view, high-spatial-resolution binocular fringe projection local measurement system, which realizes high-precision point cloud data acquisition of industrial parts' surface based on the principle of heterodyne multi-frequency phase shift and high dynamic measurement. A new point cloud registration method based on phase matching and global marker points is proposed. A global measurement system with large field of view and low spatial resolution system is applied to track the local measurement system and realize the local area point cloud registration of large industrial components. The global marker points on the surface of the turntable jointly calibrated by the laser tracker and the vision system is presented to realize the registration of all areas of the component. A global optimization with trimmed ICP is applied for adaptive fine registration of multi-view point clouds with different overlap rates to eliminate accumulated errors. The proposed system can achieve a global measurement range of 4m×4m×2.5m, and the experimental results demonstrate the effectiveness of the proposed method for high-precision measurement of industrial complex parts with large field of view, which effectively avoid the transmission error and benefits the inspection and manufacturing of industrial parts.
Quantum transport on multilayer generalized scale-free networks

Abstract We study single-particle quantum transport on multilayer generalized scale-free networks using the continuous-time quantum walk model. Our focus is directed at the average return probability and its long-time average value as measures for the transport efficiency. In the continuous-time model these quantities are completely determined by all the eigenvalues and eigenvectors of the connectivity matrix. For all multilayer networks a nontrivial interplay between good spreading and localization effects is observed. The spreading is enhanced by increasing the number of layers L or the power-law exponent γ of the degree distribution. For our choice of the parameters, namely L (1 ≤ L ≤ 50) or γ (1 ≤ γ ≤ 4), the quantum efficiency is increased by at least one order of magnitude. The topological transition between networks without loops, which corresponds to a single scale-free network layer ( L = 1), and networks with loops ( L = 2) is the most impactful. Another important change occurs when L gets higher than the average diameter d of the layers, namely a new scaling behavior for random walks and lower fluctuations around the long-time average value for quantum walks. The quantum transport is more sensitive to changes of the minimum allowed degree, K min , than to the maximum allowed degree, K max . The same quantum efficiency is found by varying at least one of the parameters: L , γ , K min , or K max , although the network’s topology is different. The quantum efficiency of all multilayer scale-free networks shows a universal behavior for any size of the layers, more precise, is inversely proportional to the number of layers.
Uncertainty analysis and optimization design of long-distance laser triangulation displacement sensor applied to dynamic object

The principle of laser triangulation has been widely used in various high-precision measurement due to its advantages of high accuracy, fast response speed and simple structure. However, the laser triangulation method still has some limitations for the measurement of dynamic object, and the accuracy of laser location will be significantly reduced especially when the working distance becomes longer. We have carried out the development and performance optimization of a long-distance laser triangulation displacement sensor for the application of dynamic object. The measurement uncertainty is analyzed when the laser dithering, laser drifting and object motion are all taken into account. Then, reflectors are added to the optical path structure of traditional laser triangulation system with the aim to improving its sensitivity and expanding its working range. The experiment results show that the repeatability of our designed optical system is 2.9μm and the imaging uniformity is 86.23% when the working distance is of 1300mm.
Verification and identification of the speech signal using algebraic analysis and DWT

We presented a flowchart, of a new approach that relies on the mathematical operations of matrices and to verify and identifies the speaker, this is a new method difficult to detect by attackers, and this is due to the difficulty to determine its base matrix used in the speaker verification and identification process, Although there are many artificial intelligence programs that can imitate voices and generating false conversations, which poses security and hacking problems.
Phase shift error estimation based on deep learning

Phase-shifting interferometry is a high-precision and commonly used phase retrieval method. In practical applications, phase shift errors are usually introduced due to factors such as environmental disturbances and phase shifter error. In this paper, we propose a deep learning method for estimating phase shift error from phase-shifting interferograms. This method manages to process the three interferograms with phase shift <i>&pi;</i>/2, and uses neural network to extract phase shift errors from three interferograms. The analysis shows that the proposed method can effectively estimate the phase shift error under the noisy interferograms. This method can be used to correct phase-shift errors for phase retrieval (e.g., the least squares phase retrieval method) and calibrate phase shifters.
Active thermal marker using thermal images of heated areas with visible semiconductor laser

In situations where the object being captured or the camera itself is in motion, object tracking using conventional attached markers or detailed textures is useful to keep capture the object with high accuracy; however, tracking accuracy has been degraded in situations where texture features are scarce or where it is difficult to attach markers. Therefore, in this study, the temperature rise corresponding to the laser irradiation time to the object is detected by a thermal camera, and the points where the temperature reaches or exceeds a threshold value after the laser irradiation ends are used as markers. After the temperature drops, laser irradiation is performed again to repeatedly generate markers. Furthermore, by controlling the irradiation point with a 2-axis galvanometer mirror, a marker that can code arbitrary shapes and information can be generated on a 2-dimensional plane. In our experiments, we irradiated a red semiconductor laser onto black paper, and found that an irradiation time of 10 ms was the most efficient in terms of heat dissipation time, enabling the simultaneous generation of up to 33 markers. As a result, it was found that it is possible to draw distinguishable characters and graphics such as lines and circles by continuous drawing. Future plans include application to non-paper based on additional physical property investigations and actual tracking applications.
Bridge deflection measurement by drone aerial photography using the sampling moiré method

Accurate deflection measurement is vital in evaluating the structural integrity of transportation infrastructures, with bridges being fascinating. In this study, we propose a novel image stabilization technique integrated into the sampling moiré method, which leads to a dependable approach for measuring bridge deflection through drone aerial photography. Our experimental verification entailed conducting drone tests on an actual bridge, utilizing a passing test vehicle, and the results showcased deflection measurements comparable to those obtained through conventional methods. This newly developed technology eliminates the need for ground-fixed cameras mounted on tripods, thus enabling precise deflection measurement at the millimeter level for bridges in challenging environments, including marine and mountainous areas.
TRANSLATION GLOVE WITH SENSOR FOR SIGN LANGUAGE

Abstract-The translating glove with sign language sensors is a cutting-edge wearable device designed to close the communication gap between sign language users and non- users. The glove has a number of sensors, such as accelerometers, gyroscopes, and flex sensors, which are strategically placed on the hand and fingers to precisely detect the motions and gestures used in sign language.The glove can detect and interpret a wide range of sign language gestures by using sophisticated algorithms to assess sensor data in real-time. When the sensors record the movements of a sign language user, the algorithms convert their gestures into either spoken or written language. Consequently, real- time communication is possible between people who use sign language and others who do not.Reverse translation is another feature of the glove. The device's sensors convert spoken or written input into motions that are displayed on the glove's surface as the user talks or writes into it. By making it possible for sign language users to comprehend and respond to spoken information, this promotes inclusive communication.
Whisper-Steg: Unveil the Hidden

Whisper-Steg represents a ground- breaking project at the intersection of secure messaging and advanced information concealment techniques. This innovative chat application transcends traditional boundaries by seamlessly integrating the art of steganography, offering users a novel and secure platform for communication. The project not only facilitates text and image sharing but introduces an ingenious Image Steganography feature, allowing users to embed confidential information within images. Incorporating an acknowledgment mechanism akin to popular messaging applications like WhatsApp, Whisper- Steg prioritizes the reliability of communication. This feature ensures that users receive confirmation of message delivery, enhancing the overall user experience. The project dynamically generates cover images based on the size of hidden messages, employing AI algorithms to optimize concealment. This not only enhances the security of the stenographic process but also underscores the project's commitment to leveraging cutting-edge technologies for user benefit. In an era where privacy concerns are paramount, Whisper-Steg embraces steganography and AI-driven solutions and stands as a testament to technological innovation, reshaping the landscape of secure digital communication. Key Words: Whisper-Steg, Steganography, chat application
Phase retrieval by extracting Zernike coefficients from two random phase-shifting interferograms based on deep learning

This paper presents a method of extracting Zernike coefficients and then retrieving the phase based on deep learning. In the normal interferometry, the phase extraction algorithm is utilized to calculate the wrapped phase according to the registering phase shifting interferograms, and then unwrap it to obtain the phase map. Further, Zernike polynomials are used to fit the phase. The method proposed in this paper uses neural networks to extract 35 terms of Zernike coefficients from two random phase-shifting interferograms, then retrieve the phase based on Zernike polynomials. The method only needs two random phase-shifting interferograms, does not require phase extraction and unwrapping processing and greatly simplifies the computation for phase reconstruction. The paper presents the training processing, and provides the experimental results. The results show that the proposed method can reach high precision and are more suitable for the quick testing for workshop environment.