Reviewerly/exHarmony huggingface dataset:
Design of 3D Image Visual Communication System Based on Computer Image Technology

Computer imaging technology is a kind of use of digital photography, using a computer as a medium to realize interactive communication and interaction between humans and machines through the collection and processing of images and the editing and storage of graphic information. The purpose of this paper to study the design of the 3D image visual communication system based on computer image technology is to improve the mastery of 3D image technology and design the visual communication system. This article mainly uses experimental and comparative methods to analyze the feature extraction situation of the 3D image visual communication system, and finds that the error of the improved RANSAC algorithm in image feature extraction is about 54%, while the unimproved algorithm and other algorithms The error is greater. This shows that the improved algorithm proposed in this paper is incomparable in the 3D image visual communication system.
Design Challenges in Effective Algorithm Development of Sign Language Recognition System

Sign language is the most putative language among hearing impaired people. They use non-verbal form of communication that involves hand gestures, head or body movement or facial expressions. Of these hand gestures is more widely used. Automatic Sign Language Recognition (ASLR) System can be used to convert these non-verbal signs into text or sound so that normal people can identify them without learning the sign language. ASLR employs Image Processing and Artificial Intelligence (AI) algorithms for effective conversion from sign to sound or text. This review unveils various image processing and AI steps involved in the conversion process, bringing out important topologies in the Image acquisition, segmentation, feature extraction, classification and detection process and a comparative analysis among various topologies. Attempts have been made to shed light into adoption of alternate design strategies in segmentation and feature extraction that enhance the performance in a complex environment.
SIGNATURE RECOGNITION ALGORITHMS. BEZIER ALGORITHM

This article focuses on improving the human and machine interface, which should ensure efficient processing of data and knowledge in simple, fast and accessible ways. One of the ways to organize it is the introduction of the manuscript (entering text, drawings, drawings, etc.). Handwritten signatures can be considered as handwritten words, but they are more suitable for drawings, because the signer tries to make his signature unique, using not only his first and last names, but also additional graphic elements. Creating a signature is quite simple, although it is impossible to reproduce the recording speed. The signature has long been used to certify the authenticity of documents and verify (authenticate) an individual. In principle, the signature examination is used during the forensic examination. Signature recognition can be carried out by sequential verification of the signature to each known person. The signature recognition methodology includes a verification methodology and processing of verification results. One of the modern areas of interface improvement is the development and research of software for signature recognition and visualization. The advent of modern computer input tools has led to the emergence of a new type of online signature describing the signature creation process, not the result. Moreover, not only the coordinates of points on the line, but also a sequence of vectors of parameter values for each of the values of pressure, direction and speed of movement, the angle of adaptation of the pen and the signature time.
Multiple Object Tracking Based on Deep LSTM

We propose a multi-object tracking method based on a memory processing module to improve tracking accuracy by saving and aggregating features between multiple frames and enhancing the utilization of inter-frame history information.
Optimal Projection for Detection of Random Displacement Error

We propose a general method to find the optimal projection for detecting random displacement errors for given input states. We apply the method to Fock, GKP, and cat states in Gaussian displacement cases.
Dual-focal metalens for long-range monocular depth estimation

A conventional metalens with single focus has limited depth range for monocular depth estimation. To overcome this, we designed dual-focal metalens and learned depth-dependent point spread functions and estimation networks in an end-to-end manner.
Data-Driven Engineering of Active Photonic Disorder

We propose data-driven engineering of active light-disorder interactions. Neural networks generate the family of disorders for active multilayer structures having similar modulation sensitivity, enabling the independent controls of multiple wave-material characteristics.
Tiny Target Detection Based on Multi-scale Attention

We proposed a tiny targets detection method based on feature pyramid network by focusing on target regions of different scales and guiding the feature maps of adjacent layers to fuse the target features.
Duality Control of Quantum Imaging with Undetected Photons

We study effects of wave and particle properties on the quantum imaging technique with undetected photons proposed by Zeilinger’s team. A quantitative relation between duality and the object transmission parameter is identified.
Optical Local Search for Opto-Electronic Online Training of Classification Systems

Here we introduce a novel optical local search algorithm and demonstrate its performance for opto-electronic accelerators. Exemplary, we perform an on-line machine learning optimization on an optical convolution layer thereby improving performance.
Control of Orientation and Entanglement of Macroscopic Magnetization Using a Single Atom

We propose a technique that can control the macroscopic magnetization of an ensemble of atoms with a single atom. This technique can also be used for entangling two ensembles of atoms at a long distance.
Shearography device with Parallel Slits and Splitted Lens

The proposed device for spatial shearography measurement uses a mask with parallel slits and a splitted converging lens.
Generating High-Dimensional Entanglement on a Silicon Photonic Chip

We present an on-chip source of path-entangled photonic qudits by parallel excitation of 8 microring pair sources. The device is foundry-fabricated and uses advanced packaging techniques, a significant advance in generating high-dimensional quantum light on-chip.
General optical convolution through a compact meta-crystal slab device

We propose and design photonic meta-crystal slab for general implementation of optical convolution. Our device is compact, scalable, and operates directly on optical fields. Potential applications include imaging and energy efficient computing.
Ultrafast all-optical switching of telecom single photons

Low-loss, ultrafast photon routing is an enabling technology for optical quantum information processing. We demonstrate a 20 GHz, all-optical switch for 1590-nm photons from a heralded single-photon source, achieving a signal-to-noise ratio of 140:1.
<i>Bioinformatics, Medical Informatics and the Law</i>. Jorge L. Contreras, A. J. Cuticchia, and Gregory J. Kirsch eds., Cheltenham, UK; Northampton, MA, Edward Elgar Publishing, 2022. ISBN 978-1-8390-594-4. US$230.00.

Bioinformatics, Medical Informatics and the Law. Jorge L. Contreras, A. J. Cuticchia, and Gregory J. Kirsch eds., Cheltenham, UK; Northampton, MA, Edward Elgar Publishing, 2022. ISBN 978-1-8390-594-4. US$230.00. - Volume 50 Issue 3
Modeling and Analysis of Combat System Confrontation Based on Large-Scale Knowledge Graph Network

Focusing on the confrontation analysis requirements of joint operation system of systems, this paper proposes an intelligent matching method of operational elements based on semantic features for typical large-scale combat system such as reconnaissance and fire strike, which can provide intelligent auxiliary support for rapid and dynamic reconfiguration of operational system of systems. On this basis, a general framework for system of systems confrontation modeling and combination analysis is built, which can support networked combat system mapping, flexible expansion of system of systems capabilities analysis, dynamic generation of systems knowledge graph and customization of system of systems. The framework provides quantitative evaluation of networked combat system capabilities, which can provide intelligent auxiliary support for commanders to rapidly build the combat system, dynamically analyze and accurately evaluate the confrontation effectiveness of the combat system.
Automatic computerised mobile purchase system

During the COVID-19 pandemic, everything is done in online mode. Due to this reason, the cost and requirement of the mobile phone and its gadgets are increasing day by day. Users are searching and purchasing new phones nowadays and some of them are confused and unable to decide or make his/her mind to purchase a suitable mobile phone. The decision of the selection of a better and reliable mobile phone is very complex and difficult. In this paper the automatic case base mobile phone selection process is discussed. This work will help many online mobile selling websites to provide users with a better phone selection decision option. The improvement of the efficiency of the system is also discussed in the paper.
Comparative Analysis of Energy Consumption in Text Processing Models

In this paper, we examine different ways to analyze text from live feed. This analysis is mandatory for large organizations such as YouTube and Facebook to keep their platform user-friendly. The challenge in performing natural language processing to a live feed is the energy required to train a model which can perform the task. we have attempted to address the problem of performing sentiment analysis by taking an example, of live comments in Law and Crime Network’s live feed of Amber Heard vs Johnny Depp that has taken place recently. The results from the experimentation are used to show the energy consumption patterns of different text processing models and choose the most efficient one.
Handwritten Signature Verification Using Convolution Neural Network (CNN)

Despite recent widespread research in the field, handwritten signature verification is still an unresolved research problem. A person’s signature is an important biometric trait of a human that can be used to verify a person’s identification. There are two primary biometric identification methods: (i) A method of identification based on vision and (ii) An identification method without the use of vision. Examples of vision-based identification include face reading, fingerprint identification, and retina scanning. The other examples for non-vision-based identification include speech recognition and signature verification. In financial, commercial, and legal activities, signatures are crucial. Two methods are widely studied and investigated for signature verification: the online method (dynamic method) and the offline method (Static approach). Offline systems are more practical and user-friendly than online systems, but because they lack dynamic information, offline verification is regarded to be more difficult. Systems for verifying signatures are designed to determine if a particular signature is authentic (made by the claimed individual) or a forgery (produced by an impostor). The data collection, feature extraction, feature selection, and classification model make up the bulk of the suggested model. A convolutional neural network is used to extract features, and machine learning algorithms are used to verify handwritten signatures. To train CNN models for feature extraction and data augmentation, raw images of signatures are employed. VGG16, Inception-v3, Res-Net50, and Xception CNN architectures are employed. The recovered attributes are classified as authentic or false using Euclidean distance, cosine similarity, and supervised learning techniques such as Logistic Regression, Random Forest, SVM, and its variants. Data from ICDAR 2011, including pairwise-organized Signature Datasets, was used for testing. The database comprises the signatures of 69 different people.
Revisiting Cybersecurity Awareness in the Midst of Disruptions

The awareness of cybersecurity and knowledge about risks from a variety of threats, which present harm or steal private information in internetworking could help in mitigation of vulnerabilities to risks of threats in safeguarding information from malware and bots.Revisiting cybersecurity awareness of every member and evaluation of organization's posture might help to protect sensitive or private information from a network of computers, working together and forming into botnets.The purpose of the qualitative case study narrative was to explore prospects for integrating cybersecurity education into elementary school children's curriculum through interviews of elementary schoolteachers, IT experts, and parents to gain feedback about perceptions on cybersecurity knowledge and awareness.The analysis of schools' organizational security postures related to all levels of education, recommending in raising awareness of the underlying and unprecedented security vulnerabilities.One area of greatest need is in protecting the wellbeing of people in securing private or protected assets and sensitive information, most valuable and vulnerable amid disruption.The possible lack of cybersecurity awareness in online settings could increase an organizational vulnerability to risks of threats and outsider attempts to install malware during a variety of cyber-attacks.Organizations with online ambiguity face a threat from botnets to infect networks.This qualitative exploratory single case-study into perceptions of teachers and leaders, information technology (IT) experts, and parents of elementary school children about cybersecurity awareness level of children in elementary schools helped to reinforce the important role of education in building foundational cyber-safety practices.
ONLINE TESTING OF STUDENTS AS PART OF THE PROMOTION OF ROAD SAFETY

The work is devoted to the assessment of knowledge on road safety issues among students of the I.S. Turgenev Orel State University based on online testing. The purpose of the work is to identify the most critical areas in the field of road safety for further disclosure in the framework of propaganda. Online testing was conducted on the basis of the Google online service-forms. The number of questions in the test is 41, the number of respondents is 598 people. The test results al-lowed us to form 5 enlarged groups of questions and identify a group of questions that cause the greatest problems for respondents.
Optocoupler Modeling for Quantum Random Code Generation

An optocoupler is modeled using randomized dipole point locations with nonpolarized photons, within an LED’s distributed wavelength spectrum. The emitted light is detected inside the photodetector, whose photocurrent represents the quantum-based real-random source.
Silicon Photonic Optical-Electrical-Optical Conversion with Gain Over Unity

We present an on-chip Optical-Electrical-Optical silicon photonic non-linear function with open-loop gain over unity. This design enables the exploration of on-chip optical amplification with full control of the optical swing similar to silicon electronic inverters.
Improved Visibility of Spectral Two-photon Quantum Interference Introduced by Multiphoton Components

Spectral two-photon quantum interference between a thermal field and a heralded state is studied theoretically and experimentally, demonstrating visibility enhancements as a result of the contribution of multiphoton components within the heralded photon state.
Quantum communication with SU(2) invariant separable polarisation-OAM states of light

We propose a protocol for remote transfers of information using SU (2) - invariant 2 × N separable states, identified as separable equivalents of the two-qubit entangled Werner states in [Bharath &amp; Ravishankar, Phys. Rev. A 89, 062110]. They can be experimentally realised as incoherent superpositions of separable polarisation-OAM states.
Spectral Analysis of Re-parameterized Light Field and Its Application in Light Field Denoising

Appropriate parameterization of the light field data can make the spectrum support of the light field more compact, which is conducive to improve the effect of light field denoising especially for high level noise.
Virtual histological stain transformations through cascaded deep neural networks

We present a deep learning-based framework to virtually transfer brightfield images of H&amp;E-stained tissue slides to other types of stains using cascaded networks, providing high-quality images of special stains from existing H&amp;E stained tissue images.
Learning Bit-Gates With A Resonant Photonic Linear Neuron

We present a new architecture for performing learning-based tasks directly on an integrated photonic chip. We experimentally realize logical 2-bit gates AND, OR, and XOR to accuracies of 96.8%, 99%, and 98.5%, respectively.
Phase transitions in nonlinear optical Ising machine

We experimentally measured the magnetization of a nonlinear optical Ising machine and observed two types of phase transitions. Our results may have important potential application in solving combinatorial optimization problems.
The Relevance Logic Programme: Failed or Just Stalled?

Since its heyday in the 1960s–1980s, the relevance logic programme has lost much of its momentum. The underlying idea has indeed been transposed into various kinds of formal system, but they lack the intuitive transparency that was once hoped for. Today, relevance logic is not part of the mainstream of the broader discipline of logic, nor has it been widely taken up by computer scientists, mathematicians or philosophers. Has the programme failed, or has it merely stalled? We suggest the latter, proposing a natural way of generating a relevance logic by means of suitably controlled semantic decomposition trees.
Analysis of research on the problem of formation of socially successful personality of a high school student in institutions of general secondary education

The article presents an analysis of research on the problem of forming a socially successful personality of a high school student in institutions of general secondary education. The purpose of the article is the analysis of the results of the formative stage of the pedagogical experiment on the identification of formative influences for improving the process of forming a socially successful personality of a high school student in institutions of general secondary education and the proposed content and technological support.The main provisions of the method of forming a socially successful personality of a high school student, which is conceptually implemented by modeling a safe, comfortable health-preserving educational environment, are substantiated; modernization of methods (reflexive-explicit, “equal to equal”, narrative, cluster, personal representation) and forms (webinars, educational and excursion volunteering, storytelling, business and role-playing games, web-cases, elaboration and creation of creolized texts, namely book trailers, comics, booklets, posters, brochures, scrapbooking, photo collages); introduction of socio-pedagogical technologies (“case-study” as an educational technology, the developmental potential of portfolio technology in the educational process, advocacy as a technology for positive changes in the educational environment, the practice of using gamification in the system of institutions of general secondary education, means of information and communication technologies in the formation of a socially successful personality of a high school student.According to the results of the experimental study, there were positive quantitative and qualitative changes regarding the levels of formation of the socially successful personality of high school students in general secondary education institutions.The conclusions emphasize that the formation of a successful personality takes place in the process of student activity in various forms, subject-subject interaction of students with adults and peers based on initiative, personal responsibility and tolerance, adequate self-esteem and motivation for success.The practical significance of the article is that its materials can be used in the organization of educational work in institutions of general secondary education, out-of-school education, scientists, post-graduate students, students.
Critical Thinking Assessment in Adults: Methodology and Development Experience

&lt;p&gt;Critical thinking (next CT) is one of the key competencies in the modern world. Despite the variety of assessment systems for secondary and higher education, there is a lack of tests for assessing this competence for adults. The importance of adult assessment is emphasized primarily by the need for employers to have employees with developed CT in various work contexts. The article describes the procedure for creating a measurement test for students of the training course &amp;laquo;Critical Thinking&amp;raquo; of the &amp;laquo;Yandex.Practice&amp;raquo; platform and the results of assessing its psychometric quality. When creating this test, we relied on the Evidence Centered Design (ECD) approach. The test is performed in computer form and consists of tasks aimed at identifying the relevant observed behavior of the subject. The validity of the developed test, including its compliance with theoretical expectations about the factor structure, is confirmed by evidence of constructive, criterion, convergent and content validity. The limitations of this study and possible directions for future developments are considered. The result of the work is a validated test for measuring critical thinking for adults, the quality of the tasks of which is confirmed by psychometric analysis in modern mental test theory (IRT &amp;mdash; Item Response Theory).&lt;/p&gt;
Elements of technology of formation of students’ professional and value orientations

Person’s professional self-determination has decisive consequences not only for the future life of an individual, but affects society in general. By choosing a profession, a person not only takes the first steps on the way to building a professional career, but also develops the professional values based on which he or she will contribute to the development and improvement of a certain professional field in the future. That is why the study of the problem of the formation of students’ professional and value orientations, and especially the implementation of pedagogical technology to ensure the specified process, has become relevant.The article briefly reveals the features of using the method of projects and career guidance games as important elements of the procedural and practical component of the technology of the formation of students' professional and value orientations.It is noted that during the implementation of the projects there is an indirect promotion of the emergence of personal experiences among students, a selective attitude towards a certain professional activity, which, as a result, determines changes in life activities, the construction of a conditional trajectory of movement in the acquisition of a certain professional education.The career guidance game in a non-obtrusive way promotes students' assimilation of career guidance knowledge, provides students with the world of work and professions, understanding of facts, processes, acquisition of certain abilities, skills, methods of practical activity, promotes the development of students’ abilities to apply the acquired knowledge in practice, promotes professional self-determination.It is noted that the study of the problem of the formation of students’ professional value orientations made it possible to establish the main factors affecting the effectiveness of the specified process, in particular, to identify the potential for increasing its effectiveness through using traditional forms and methods, for example, the method of projects and career orientation games.