Reviewerly/exHarmony huggingface dataset:
Pedagogical conditions for the formation of professional and personal identity of teachers of additional education

The article discusses and describes in detail the pedagogical conditions that affect the formation of professional and personal identity of teachers of additional education. Various scientific approaches to understanding pedagogical conditions are analyzed. The author describes the most relevant interactive forms of professional and personal identity formation. The article recommends the program of professional development “ABC of professional and personal growth” and the technologies of its implementation.
Digital Protection Platform of Pingxiang Nuo Mask Based on AR Technology

In recent years, with the development of modern information technology and the increasing popularity of the Internet, digital technology continues to penetrate into people’s work and life, and has also been applied in the field of cultural heritage protection. Among them, augmented reality technology has the advantages of virtual and real fusion, real-time interaction and three-dimensional registration, and has a promising development prospect. This paper mainly studies the design of digital protection platform of Pingxiang Nuo mask based on AR technology. Comprehensive theoretical research and practical application, this paper applies augmented reality in the process of digital cultural heritage, cultural heritage from the angle of interdisciplinary spread of digital display and pingxiang nuo masks AR experience summary strategy analysis and the design principle, and carries on the concrete application practice based on local cultural resources, provide the public with abundant realistic multicultural experience, conducive to the sustainable development of the cultural heritage, with its national conditions for building under the new situation characteristic of cultural heritage digital development mode to provide beneficial reference and practice of interdisciplinary thinking.
Human Body Posture Recognition in Virtual Reality System for Astronauts Training

Virtual reality provided a new way for training before flight in the weightless environment. In this study, we established a system that could recognize the human body’s posture in real-time and the recognition results could be used for VR training system. An experiment was conducted to testify the effectiveness of posture recognition in VR training, and the results showed that the recognition results could help promote the sense of immersion and reality in the virtual environment.
REVEALING THE EFFECTS OF TEACHERS STIMULATING TECHNOLOGICAL INCLUSION ON UNIVERSITY STUDENTS EDUCATIONAL GAINS: A COMPARATIVE STUDY

Purpose of the Study: The purpose of the current research was to measure the effect of male and female teachers technological inclusion used to stimulate university students educational gains. The research have intends to determine the effect of current practices occurring in public and private universities of District Lahore of the Province-Punjab.&#x0D; Methodology: The researchers structured quantitative research leading to a positivist paradigm adopting ex post facto design to determine the effect of public and private universities teachers stimulating technological inclusion on students educational gains. The researchers administered a self-constructed questionnaire on a sample of 600 respondents. The researchers ran regression analysis and independent-sample t-test to find out effect and comparison.&#x0D; Main findings: Findings of regression analysis revealed that teachers stimulating technological inclusion affect 68.70% of students educational gains whereas critical thinking and problem solving 66.70%, creativity and innovation 66.70% and, health issues affect 69.10% of students educational gains. Male teachers were more stimulating their technological inclusion as compared to female teachers. Likewise, private sector university teachers were more stimulating their technological inclusion on their students educational gains as compared to public sector university teachers.&#x0D; Applications of this study: The results of the current research will be applicable for male and female sector universities teachers working in public and private sectors. They will be realistically aware of the actual use of their technological inclusion used to stimulate their students enrolled in other provinces of the Pakistan including Punjab for acquiring better educational gains. The findings of the research will be pertinent to provoke the intends of future research scholars to establish the effect of technological inclusion on social, political, economical, and cultural transformations aspects, unfolding the technological dimensions of artifact, knowledge, process, and volition.&#x0D; Novelty/originality of this study: The researchers days-and-nights effort bring fruitful consequences in contributing to this evidence-based literature to the existing body of knowledge in the field of teachers technological inclusion. The authors have tremendously determined the effects of teachers technological inclusion used to stimulate university students didactic learning which was never done before from a Pakistani Perspective. The researchers have covered a similar topic to ensure the relevancy, accuracy, and uniformity to engage the attentions of the readers in data sharing.
Linguistic Features Differences in Arabic Textbooks Used at Islamic Schools in Malaysia

The dearth of studies that assess linguistic differences in Arabic textbooks is the motivation for the present study, which identified significant differences in the use of linguistic features in textbooks for different secondary school levels. The study analysed 315 samples of 100-word texts, randomly selected from 105 Arabic textbooks used at Islamic secondary schools in Malaysia. Seven linguistic features were analysed using descriptive and inferential analyses through one-way analysis of variance (ANOVA). The analysis showed a moderate use of simple sentences, complex sentences and noun sentences. However, the use of complex sentences was higher than that of simple sentences. There were a high number of common and frequent words used, but the use of abstract words was low. Conjunctions and discourse markers were used at moderate levels. ANOVA analysis showed significant differences in the use of complex sentences, common and frequent words, conjunctions and discourse markers, and sentence length averages. The study also found that long sentences are higher in frequency in Form 3 textbooks compared to those in Forms 4 and 5 textbooks. The current study suggests that the frequency of linguistic features should correspond to students’ needs by taking into their school level, Arabic language proficiency and subject content.
Collaborative Filtering Recommendation Combining Adversarial Network and Attention Mechanism

Generative Adversarial Networks is an interesting way to teach computers to do human work. A strong competitor makes you better, and learning from each other in competition with him, this is the principle of GAN. In this article, we first use the user and movie information as input, and let the generator generate an n-dimensional vector. Next, we propose a new method that integrates the attention mechanism, which is to add the attention mechanism model to the adversarial network model, and let the n vector and the weight value obtained by the attention mechanism be summed and the obtained result is used as the output To make recommendations to users, we proposed the ACFGAN model. Finally, through a large number of experiments on real data sets, we verified that ACFGAN can indeed effectively improve the accuracy of recommendations.
Research on Integrated Solution of Mobile Application Development and Operation in Electric Power Enterprise

With the development of corporate mobile informationization, the customers require higher standards for stability, the updating frequency and the efficiency of products and services. The existing development, testing and delivery mode for mobile applications can no longer adapt to the characteristics of mobile applications, i.e., rapid development, rapid release, and rapid iteration. This paper analyzes the current problems existing in each stage of mobile application construction and has summarized four types of issues. Combined with the corporate information construction system of the state grid, and the current situation of the corporate information platform, this paper provides an integrated solution of mobile application development and operation and maintenance which accords with the idea of DevOps. The solution is designed to enhance the ability to deliver business goals in a fast and continuous manner to meet customers’ needs.
Reference selection for offline writer-dependent signature verification using a Siamese convolutional neural network

This paper focuses on offline writer-dependent signature verification using a Siamese convolutional neural network. A Siamese network is comprised of equal-weighted twin networks that can be trained to learn a feature space in which similar observations are juxtaposed. To reduce the impact of the high intra-variability of the signature and ensure that the Siamese network is able to learn more effectively, we propose a method of selecting a Reference (REF). Using the proposed reference selection, the accuracy can be increased by 6.4%. By utilizing the GPDS-160 signature data-set, the designed system is able to achieve an accuracy of 94.5%, which is a better result than that achieved by current state-ofthe-art writer-dependent techniques.
C4I-Cyber Command &amp;amp; Control Supremacy: Why It’s More Critical Than AI &amp;amp; Quantum Supremacy &amp;amp; What You Can Do about It? Security in Post-COVID Virtual Era Beyond Data, Models, Algorithms

Virtual Conference Presentation Video: http://www.youtube.com/watch?v=cKEWHOPOhy0 :Despite exponential improvements in Data, Models, and, Algorithms and advancements in Artificial Intelligence (AI) and Quantum Computing technologies, the bar on national and organizational Security has been raised by COVID19 global disruptions that include ongoing global cyber-attacks. As world’s first, foremost, and, largest Digital Transformation Network that pioneered Digital and Virtual Organizations practices spanning Silicon Valley, Wall Street, Pentagon, and, worldwide organizations, our latest Air Force Research Lab Ventures are advancing C4I-Cyber Command & Control Practices, Technologies, Ventures, and Networks to meet the post-COVID19 Risk Management realities. In spite of latest AI and Quantum Computing capabilities powering Business-IT Performance, COVID19 has highlighted the critical significance of Resilience and Sustainability of Command and Control (C2) capabilities of Systems powering National Defense & Space, Critical Infrastructures, all Enterprises, and, Intra- and Inter-Enterprise Networks for organizational, national, and, global survival. Given unprecedented global and national cyber-attacks, critical Systems need to advance beyond C2 to include focus on Adversarial C2 and Counter-Adversarial C2 capabilities to survive and thrive. Drawing upon our latest contributions to advancing US Global and National Defense & Space capabilities spanning Air-Space-Cyberspace such as the Advanced Battle Management System (ABMS) Joint All Domain Command & Control (JADC2), our latest State of New York Cybersecurity Conference presentation will help Cyber Security and Risk Management professionals, managers, and, leaders advance Beyond Data, Beyond Models, and, Beyond Algorithms to effectively preempt risks posed by the latest and greatest adversarial threats. We shall build upon our Practices advancing upon the National Institute of Standards and Technology (NIST) Risk Management and Risk Engineering frameworks for AI, Machine Learning, Quantitative, Cyber, Crypto, and, Quantum Risk Computing to counter the C2 risks for enterprises, systems, and, infrastructures – commercial, government, military, and other – connected to the Internet.(Conference Session Abstract Submitted Prior to the Conference Presentation Date.)
Design of Abnormal Behavior Detection System in the State Grid Business Office

Nowadays, with the popularization of electricity, the status of grid business office in people’s lives has become more and more important. Grid business office often have a large flow of people, so it becomes very necessary for abnormal detection of grid business offices. Traditional video surveillance has a lot of problems. This paper uses various computer vision technologies to improve traditional video surveillance. First, the YOLO v3 algorithm is introduced to detect the number of people in the business office, and then the motion foreground extraction algorithm is used to calculate the contour of the human body. The contour judges whether there is an abnormal situation currently, and finally introduces the concept of image entropy to judge whether there is intense movement currently. Finally, in the end of the paper, the current work is summarized and the future word is prospected.
Approximating Multidimensional Range Counts with Maximum Error Guarantees

We address the problem of compactly approximating multidimensional range counts with a guaranteed maximum error and propose a novel histogram-based summary structure, termed SliceHist. The key idea is to operate a grid histogram in an approximately rank-transformed space, where the data points are more uniformly distributed and each grid slice contains only a small number of points. Then, the points of each slice are summarised again using the same technique. As each query box partially intersects only few slices and each grid slice has few data points, the summary is able to achieve tight error guarantees. In experiments and through analysis of non-asymptotic formulas we show that SliceHist is not only competitive with existing heuristics in terms of performance, but additionally offers tight error guarantees.
Modeling and Verification of Web Services Composition Using CWB-NC Tool

Modeling and verification of web services composition determines the execution flow of various web services used in conjunction. Existing techniques, such as, UML and testing are used successfully to describe the behavior of the web service system and find the bugs during the communication of the components. However, it is not always possible to identify bugs at all the stages. Formal specification and verification is an emerging technique for specifying the structural and functional property of the web service composition. Calculus of Communicating Systems (CCS) is a process-algebra used as a language for formal specification. In this article, we have utilized CCS for describing the behavioral specification of the web service system. The requirement of the system is captured through formulas or properties utilizing mu-calculus, and formally verified through Concurrency Work Bench of the New Century (CWB-NC) model checker tool.
Function Management in Multi-population Methods with a Variable Number of Populations: A Variable Action Learning Automaton Approach

The fitness evaluation management (FEM) has been successfully applied to improve the performance of multi-population (MP) methods with a fixed number of populations for dynamic optimization problems (DOPs). Along with the benefits they offered, the proper number of populations in MP with a fixed number of populations is difficult to determine. The number of populations in this approach is specified according to the number of local optima and before the commencement of the optimization process. However, the number of optima in real-world problems is mostly unknown. Therefore, it is valuable to study the usefulness of FEM for MP with a varying number of populations. In this chapter, the concept of FEM is extended to the MP approach with a variable number of populations. Since the number of sub-populations in this method is varied during the run, the FEM system should adapt to this new emerging challenge. To do so, we use a variable-action set learning automaton (VALA) to change the action-set of the learning automaton (LA) accordingly. As a starting point, we first need to use an MP method with a variable number of populations as the base method to develop our proposed FEM scheme. Although several frameworks exist to create the MP with a variable number of sub-populations, we have considered the framework for locating and tracking multiple optima in dynamic environments using clustering particle swarm optimizer (CPSO). CPSO has been extensively studied in the past, showing very promising results in challenging DOPs. Therefore, in the next, we review the CPSO in brief. Then we describe our proposal in detail. Finally, the effectiveness of the proposed FEM is evaluated through numerical experiments.
Image Quality Assessment Driven Self-Supervised Anomaly Detection

Anomaly detection is a challenging task due to the bottleneck of anomalous sample collection. Recently, self-supervised learning has shown great potential for anomaly detection. However, these methods use task-related attributes as self-supervised signals and are suitable for specific application scenarios. In this paper, we propose a more general self-supervised method to detect anomaly which regards image quality as a supervised signal. Specially, we convert anomaly detection task into an image quality restoration task which contains distortion and restoration processing. Firstly, we introduce content distortion which erases hardness blocks in normal image based on no reference quality assessment method. Meanwhile, we introduce resolution distortion which down-samples normal images to low-resolution images preserving the essential appearance information. Then, a restoration network is trained to repair such distortions that encourages the model to learn detail information and the content of hardness regions in normal image. Extensive experiments on public benchmark datasets verify the effectiveness and generality of the proposed method.
Study on application of polar codes to information reconciliation in free-space quantum key distribution

Quantum key distribution (QKD) is a technology to securely share keys against any attack physically permitted, with the principle of quantum mechanics. In recent years, the satellite QKD, which employs artificial satellites as trusted mobile nodes, has been attracting attention in order to overcome the bottleneck of transmission distance. However, in the satellite QKD, quality degradation due to atmospheric effects is expected, as in ordinary satellite laser communications. Therefore, it is desirable to apply an error-correcting code (ECC) that has high error-correcting performance even under the atmospheric-induced effects to the error-correcting process of the satellite QKD. Therefore, in this paper, we examined the application of polar codes, which is known as an ECC with high error correction capability. First, in order to optimize the error correction efficiency, we propose a method to adaptively obtain an appropriate code rate for the received signal strength that changes momentarily due to atmospheric effects. Then, we compare the throughput performances with polar codes to it with low-density parity-check (LDPC) codes, with the numerical simulation assuming Bennett-Brassard 1984 protocol (BB84).
Changing participation in web conferencing: the shared computer screen as an online sales interaction resource

Abstract This article explores the increasing digitalization of workplace communication. Drawing on the material environment in a complex, technology-mediated workplace environment, the article investigates how remote sales interaction is constructed and managed by its participants. The data consist of web conferences conducted in Finland between a salesperson (SP) and a prospective customer (C). During the meeting, SP delivers a software solution demonstration on a shared computer screen on which only SP is able to take actions. Deploying the method of multimodal conversation analysis, the research focuses on how the shared computer screen is used as an interactional resource to achieve joint attention and to direct participants’ focus during the sales meeting. First, the shared screen view is SP’s resource; for instance, when SP describes the functionalities of the software, he/she recurrently uses deictic expressions and other linguistic means in combination with coordinated keyboard activity. Later, the shared screen view evolves into a medium for both participants’ actions. The findings suggest that, as the negotiation gets closer to the context of the customer organization’s business, C may use the screen as a vehicle for his/her own interactional purposes. Through a gradual growth in understanding of the software, C begins commenting on the screen view or guides SP’s actions on the shared screen, enabling both a collaborative sales interaction and knowledge construction in a complex technological environment. Unlike previous studies on technology-supported institutional telephone interactions, SP’s screen view in the present study is a resource shared by both the professional and the client. The study contributes both to the field of technology-mediated workplace studies as well as to the field of sales and marketing research.
TOUR TOWARDS THE SECURITY CHALLENGES OF VIRTUALIZATION IN CLOUD COMPUTING: A SURVEY

In general, the consumers benefit from cloud computing because of its scalability, performance, flexibility, and low infrastructure investment. Everyone is moving from traditional services towards various cloud services at minimal cost. Because of the benefits of virtualization and data storage, people are increasingly embracing them and posing some new security issues. Using virtualization is an advantage for consumers because security is one of the features that are taken care to lesser extent. This paper summarizes the need for virtualization along with its benefits and multiple security vulnerabilities are explained in detail by a diagram that illustrates about virtualization security issues that are virtual machine based, Hypervisor based and virtual machine based attacks. There are some recommendations to strengthen the security and privacy in virtualization.
E-Connect Kisan : An E-Commerce Application For Farmers

Agriculture is the strength of Indian economy and 70% of India's total population is primarily dependent on agriculture for their employment. Agriculture is still an underdeveloped sector when it comes to technologies being inculcated. With the growing technology and internet services the information related to the different government agricultural schemes are now available on the internet in the form of websites and mobile apps. But because of digital illiteracy in the rural areas, farmers are not conscious about the different agricultural information & Schemes.[2] This mobile app will provide the Indian farmers with different government schemes for which they are eligible.This service will be available in local languages English, Marathi & can be further added as per the requirement. The schemes will be made available to the farmers in the form of text, audio and video.For many years, farmers in India have had little freedom in choosing markets and buyers for their produce. Most states within the country mandate that marketing and selling of farm produce must be routed through state owned mandis, retail markets where middlemen squeeze farmers to extend margins. In such a situation, can technology enabled solutions help Indian farmers to sell their produce on to customers? So the answer is yes. We have come up to a solution which will help farmers in their own language and fulfil their requirements.