Reviewerly/exHarmony huggingface dataset:
Acceptance of AR/VR technology in aviation industry by passengers in terms of enhancing their travel experience

AR, VR has introduced a new set of interfaces that can potentially transform the way humans interact with their surroundings completely. AR/VR can be used in airlines’ manufacturing, supply-chain, and pilot training to enhance the passenger experience. This research focuses on the use of VR and AR in enhancing passenger experience would affect the customer’s decision to travel through flights and, on that basis, analyze whether it is a good opportunity to invest in these technologies. Customer satisfaction is what every business targets to achieve. Moreover, the same goes for airlines too. The research scope includes both in-flight as well as terminal experience. AR/VR technologies would focus on Entertainment, Ease of use, and navigation purpose in the complex structure of airports. The methodology includes a structured interview in the form of a survey of 60 people who have traveled via flights. T-test analysis has been used to find out the significance of the above-mentioned variables. The purpose of this paper is to find out whether users prefer the use of AR/VR technology when it comes to boost their passenger experience, and based on the result to know whether it is a good investment for the airlines or not.
Technologies of deep text analysis in musicology

The article considers the possibility of improving the mechanism of work of the author-musicologist with the texts of historical musicology. The purpose of the article is to consider the mechanisms of detecting internal relationships between the elements of a musicological text. The subject of the study is verbal texts of musicology. The object of this article is analytical tools of modern digital technologies for working with texts. The author examines in detail such aspects as the selection and formation of a set of keywords, the definition of the structure of the search for information necessary for research. Particular attention is paid to the internal processes of the musicology laboratory, within which it is not always possible to form a set of key verbal meanings of a prepared study using traditional methods. The author for the first time proposed a methodology for using computer tools for deep text analysis programs in the daily activities of a musicologist-researcher. The scope of the methodology is not limited to the field of music science, it can find solutions in other fields of knowledge. In the course of the research, the practical side of the product implementation is highlighted, the stages of post-processing of a text array are presented in a concise form. At the same time, the problematic "slice" stated in the study turns out to be saturated with other information content, which allows us to further find hidden patterns of development of certain processes, discover new relationships and determine new vectors of scientific research.
To the Problem of Achieving Student’s Creative Competence by Increasing Thinking Skills in the Educational Process

Article deals with the problems of students’ thinking abilities development in studying at the university in pedagogical areas and their research. Along with the rejection of traditional teaching of texts and works, it is recommended to use new technologies and, with the help of graphic organizers, reveal their main ideas. As a result, through these methods, it is possible to create conditions for expression of students’ opinion and creative thinking. It is about students who, whether it is a text or a short essay, students cannot perceive them from the point of view of critical thinking, cannot express the meaning and content of the work; it also about difficulties that future teachers face in the process of classes. Research objectives: To consider a number of examples and reveal their essence and content in the formation of creative competence through increasing the mental ability of students. Attention is paid to the formation of thinking skills of university students and effective teaching methods are recommended. Research materials and methods: when writing the article, the methods of pedagogical observation, comparative analysis and formulation of questions and answers were used. Research results: as a novelty of the article, six thinking hats and graphic organizers are given. The examples in it are taken from the theoretical knowledge and research of students of the pedagogical direction during the passage of profile practice. Conclusions: we believe that these methods will be successful due to critical thinking in the development of competence, independent creativity of students receiving higher education.
Global Solar Radiation Prediction using Empirical based Models

Solar Radiation (SR) is crucial for the energy balance at the Earth's surface, evaporation, snow melting, plant water needs, and catchment hydrological regulation. In this regard, the major goal of this research is constructing a mathematical model or in other words empirical model to estimate the amount of SR upon a horizontal region in terms of latitude for four Indian cities. The cities considered for this work are NewDelhi, Chennai, Hyderabad and Coimbatore. Based on the input parameters, two categories of empirical models are developed namely, category 1 is sunshine duration (SD) based models and category 2 is air temperature (AT) based models. For performance evaluation, the metrics mean percentage error (MPE), mean bias error (MBE), mean absolute bias error (MABE), root mean square error (RMSE), mean absolute percentage error (MAPE) and coefficient of determination (R <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> ). The results signify that both the category of empirical models have a promising capability in this field of research and can hence be an efficient option for solar forecasting.
Sports Portal Management System

The project Sports Portal Management System creates a software that stores and manages all the data needed to describe the personal data of the members and their framework within an organization. It includes definition of various levels of hierarchy in an organization, the price structure pertaining to every element in this hierarchy, the description of every member functioning in the club and the overall sports club database which integrates all the elements mentioned above. It has a database administration that has access to the entire database, in regards with viewing and update of information. The exclusive right is implemented using authorized access. Also viewing all data and editing of personal data can be done by any admin, this also using authorized access.
Instagram hashtags as image metadata for Automatic Image Annotation

We could use other social media platforms for AIA purposes, such as Facebook, YouTube, Pinterest, Twitter, Snapchat, or Flickr, but these platforms are not ideal for our study. Hashtags on Facebook are not very popular; YouTube focuses on video, and users are not familiar with hashtags. On Twitter, the portion of tweets containing text only is far more extensive than those consisting of images, videos, or gifs. Pinterest is a catalog of ideas, and hashtag functionality is a relatively new feature, so it is not ideal for AIA purposes. The role of hashtags is not the same in Snapchat, and Flickr is not very popular anymore. So, we can easily conclude that Instagram is ideal for AIA purposes.
Creating Virtual Prototypes of Technical Devices using Vivifly

When developing technical devices, such as home appliances, their user interfaces must be evaluated with respect to usability and user experience. For this, companies create expensive real world prototypes of these devices, ask users to interact with them, and record any issues the users have. Virtual Prototypes (VPs) provided in eXtended Reality (XR) may serve the same purpose with the advantage of being cheaper and more widespread available. Unfortunately, the creation of VPs, especially for multi-platform XR, is nowadays challenging and requires game programming skills. In this tutorial, we present Vivifly and Vivian, two tools for configuring and running simple VPs in different variants of XR. Through this, companies can easily create VPs for their devices under development and test them with users in mobile Augmented Reality (AR), in Virtual Reality (VR), or in Mixed Reality (MR) using a single configuration.
Automated Usability Smell Detection in VR Application with AutoQUEST

The quality of software products is not only measured by their set of functionality and features, the User Experience (UX) and the quality of the applications’ User Interface (UI) gets more and more important. In order to measure and improve the usability of UIs, it is often required to perform user tests with potential future users. Performing these user tests, taking notes meanwhile and analyzing all the collected data to derive some meaningful results can be a time-consuming task. An automated approach to evaluate the usability of UIs may save time and help to improve the UX. In this tutorial, we present AutoQUEST, a set of tools to automatically record user interaction data and perform automated usability evaluation. The evaluation is done by detecting common interaction structures and assessing them with respect to patterns representing known UX issues. We will demonstrate this usability evaluation technique on an existing study of a Virtual Reality (VR) application of our own.
Sub-pixel Underwater Object Size Measurement Algorithm Based on Improved Otsu Binarization and Edge Curvature Filtering

In the field of target recognition, shape size is an important attribute of object. There have been many research bases on vision-based size measurement in air, but few studies have been done on underwater target size measurement. This paper mainly proposes solutions to the problems of external lighting conditions, the reflective properties of object materials, and the disturbance of robot motion. Firstly, based on the improvement of Otsu, an Otsu method suitable for bimodal or multimodal object images is proposed. Secondly, a linear interpolation denoising method based on edge contour curvature fluctuation is proposed, which combines polynomial interpolation sub-pixel technology to achieve contour edge smoothing. Finally, using polynomial interpolation sub-pixel technology, taking the image threshold segmentation effect and the measurement accuracy of the object size as the measurement standard, the underwater ball and pipeline are tested, and the measurement accuracy is improved by more than 2%, which verifies the robustness of the method.
Analysis of Multiinterface Autonomous Moral Learning Platform Based on Intelligent Computing

In order to realize the self-learning of the platform, an improved RBF neural network model is adopted, and a similarity matching algorithm is added, which improves the comfort of platform users and reduces redundant knowledge links. Based on constructivism, platform moral education constructs an intelligent computing learning platform with autonomous learning function through the construction mode. Based on the relatively perfect database, the moral learning platform extracts relevant resources for the platform teaching mode and basic services respectively, so as to optimize the platform design. Rely on computer technology to establish educational resource database, extract or collect teaching resources from all aspects, and form a database group with complete information. After the platform content design is completed, different interfaces are used to link to different end users. The establishment of multi-interface can make the system online at different terminals, fully consider the user’s moral learning environment, and let users learn online anytime and anywhere. Compared with the traditional algorithm, the improved algorithm adds the similar matching function on the basis of RBF algorithm. It reduces the phenomenon of repeated push in students’ autonomous learning system. The similarity matching algorithm is added to improve the comfort of platform users and reduce the redundant knowledge chain. The construction of moral learning teaching mode not only increases the interaction of the platform, but also improves the efficiency of user education and learning, and enhances the user’s awareness of intelligent computing.
Message from the SEIP Chairs of ICSE 2022

It is our great pleasure to welcome you to the Software Engineering in Practice (SEIP) Track 2022. The Software Engineering in Practice Track is the premier venue for researchers and practitioners to discuss insights, innovations and solutions to concrete software engineering problems. SEIP provides a unique forum for making connections, exchanging ideas, fostering innovations, and forging long-term collaborations for addressing software engineering research that impacts directly on practice. SEIP has gathered submissions from highlyqualified industrial and research participants who are eager to communicate and share common interests in software engineering. Submissions are evaluated primarily on potential impact and real-world focus: each submission aims to describe a problem of practical importance, explain how the problem was investigated and in what context, and to present evidence for the paper&#x0027;s conclusions.
The Hill Cipher Algorithm for Data Encryption and Decryption

The science of encoding and decoding signals is known as cryptography. Cryptography is frequently used in people's daily life to keep sensitive data, such as Mastercard data, safe. Many regular exercises can be easily viewed by unintentional outsiders via the Internet. Hill cipher is a simple linear transformation represented by a matrix that is a traditional cryptography based on linear algebra. It is one of the symmetric key algorithms with various data encryption advantages. However, the inverse of the plaintext encryption key matrix is not always available. The encrypted text cannot be decoded if the key matrix is not invertible. The key matrix employed for encryption in the Involutory matrix generation method is invertible. As a result, we do not need to find the inverse of the key matrix during decryption.
PENGARUH METODE MODEL PEMBELAJARAN TALKING STICK TERHADAP HASIL BELAJAR IPA PESERTA DIDIK KELAS V DI SDN 12 AMPENAN TAHUN AJARAN 2021

This study aims to determine the effect of the Talking Stick learning model method on the science learning outcomes of class V students at SDN 12 Ampenan. This study used a quantitative approach with the Quasi Experimental Research method with the pre-experimental research design type one group pretest-posttet design. The population in this study were students of grade V SD with a total of 24 students. The sampling technique used purposive sample with a sample size of 22 students. Data collection techniques in this study using multiple choice test questions and documentation. The data analysis technique used is the t test with the type of paired sample t-test. The results of hypothesis testing show the sig. (2-tailed) the science learning outcomes of students have the same value, namely 0.000 at the 5% significance level with the number N = 22. The sig. (2-tailed) value indicates that there is a significant effect of the Talking Stick method on the science learning outcomes of grade V students at SDN 12 Ampenan in academic year of 2021
Blockchain Technology

Blockchain technology is the digital network of storing the relevant information regarding cryptocurrencies and is growing its importance day by day. Advanced blockchain technology is being used in various cases for the creation of digital currency. Bitcoin is one of the famous cryptocurrencies and it was the main reason for the creation of blockchain technology with various computer networks. The security concerns of blockchain technology are quite high which results in overall protection of crypto information through proper verification. Blockchain technology increases the working capacity as well as profitability of various business concerns. Blockchain infrastructure is designed as per the needs and requirements of the organization and the focus of the organization is to keep the information secured as well as private, and blockchain technology is responsible in doing this commendable job in handling the mechanisms in an appropriate manner.
Innovation of Precise and Intelligent Teaching Mode in Vocational Colleges from the Perspective of Big Data

In order to study the precise and intelligent teaching mode of Vocational Colleges from the perspective of big data, promote the effective reform and innovation of teaching mode, and improve the teaching quality and efficiency of vocational colleges, this paper first analyzes the characteristics of the precise and intelligent teaching mode from the perspective of big data, then summarizes the precise and intelligent teaching mode from the perspective of big data, and then analyzes the innovation principles of the precise and intelligent teaching mode from the perspective of big data, Finally, based on the perspective of big data, this paper puts forward several strategies for innovating the precise and intelligent teaching mode of vocational colleges, aiming to meet students' personality and diverse learning needs, promote the high-quality development of the teaching mode of vocational colleges, and provide reference for relevant personnel.
Simulating long-range coherence of atoms and photons in quantum computers

Lasers and Bose-Einstein condensates (BECs) exhibit macroscopic quantum coherence in seemingly unrelated ways. Lasers possess a well-defined global phase and are characterized by large fluctuations in the number of photons. In BECs of atoms, instead, the number of particles is conserved and the global phase is undefined. Here, we present a unified framework to simulate lasers and BECs states in gate-based quantum computers, by mapping bosonic particles to qubit excitations. Our approach relies on a scalable circuit that measures the total number of particles without destroying long-range coherence. We introduce complementary probes to measure the global and relative phase coherence of a quantum state, and demonstrate their functionality on a Rigetti quantum computer. Our work shows that particle-number conservation enhances long-range phase coherence, highlighting a mechanism used by superfluids and superconductors to gain phase stiffness.
An Empirical Analysis of CAPTCHA Image Design Choices in Cloud Services

Cloud service uses CAPTCHA to protect itself from malicious programs. With the explosive development of AI technology and the emergency of third-party recognition services, the factors that influence CAPTCHA’s security are going to be more complex. In such a situation, evaluating the security of mainstream CAPTCHAs in cloud services is helpful to guide better CAPTCHA design choices for providers. In this paper, we evaluate and analyze the security of 6 mainstream CAPTCHA image designs in public cloud services. According to the evaluation results, we made some suggestions of CAPTCHA image design choices to cloud service providers. In addition, we particularly discussed the CAPTCHA images adopted by Facebook and Twitter. The evaluations are separated into two stages: (i) using AI techniques alone; (ii) using both AI techniques and third-party services. The former is based on open source models; the latter is conducted under our proposed framework: CAPTCHAMix.
Attention-guided Multiple Receptive Field Residual Block for Single Low-light Image Enhancement

Limited by insufficient illumination, the images collected by imaging equipment often have low brightness, low contrast, low signal-to-noise ratio. It severely restricts the development of advanced vision tasks such as target detection and semantic segmentation. To improve the visibility of low-light images, we propose an attention-oriented multiple receptive field residual block (AMRR). Specifically, AMRR first extracts the information of different receptive fields by convolution with varying kernel sizes and then activates the Sigmod function to obtain the attention map. Then we integrate the obtained attention map into the network again to enhance the attention to the texture edge structure of the feature map. We suggested four AMRRs in series for low-light images enhancement (renamed LE-AMRRs). We validated our method on standard low-light test datasets. The experimental results show that LE-AMRRs can generate better low-light enhancement results at a smaller computational cost than other current advanced methods.
Three-dimensional Face Recognition Method Based on Multiresolution Model and Fuzzy Random Matrix

Three-dimensional face recognition is one of the hotspots of biometric recognition and has a wide range of applications in the fields of information security, video surveillance, video tracking, and so on. The core part of 3D face recognition is to establish the corresponding 3D face model, and the key of building the model is how to obtain the shape model and accurate texture mapping. The problem has not been well solved in the field of face reconstruction. Based on the background, this paper makes an in-depth study and proposes a three-dimensional face recognition method based on multiresolution model and fuzzy random matrix. The face model reconstruction method of image and model can accurately obtain the contour change of face and the representation of specific features through multiresolution model, reduce the inaccurate description of error and noise in samples through fuzzy random matrix, and enhance the effectiveness of image information of classification and recognition. The experimental outcomes exhibit that the 3D face focus approach based totally on multiresolution mannequin and fuzzy random matrix efficiently improves the evaluation effectivity of the model, improves the great of mannequin matching, improves the function extraction in the cognizance process, and improves the attention rate.
Philosophical Aspects of Distance Education

The paper deals with the specifics of distance education from a socio-philosophical position, it considers its advantages and disadvantages, both from the point of view of education and from the standpoint of personality formation. Distance education should be considered not as a way of learning using modern technical means and network learning technologies, but as a factor of systemic thinking, of formation of new education culture and as a result of a new type of personality that satisfies the needs of modern society. The paper also discusses the trends in education in the near future in the context of the rapid development of the information society.