Reviewerly/exHarmony huggingface dataset:
50‐1: Omni‐Directional Projection VR Systems Using Ultra‐Short Throw Lenses

We have developed a novel ultra‐short throw lens with catadioptric relay which can project a large image on curved screens with remarkably uniform brightness and pixel size distribution. This wide projection enables a compact omni‐directional projection VR system with only eight projectors as well as a cylindrical screen VR system.
Research Games: A Model to Support the Development of Educational Game Using Virtual Reality Platforms

The methodology for creating digital games is usually associated with knowledge of game designer who guides strategies to engage players. Therefore, there is a need to structure this process in a model that allows people who want to know more about engagement in digital game to create engaging gaming experiences. As a result of this need, we argue that to develop player engagement processes, a UCD perspective with high levels of UX is necessary. Concepts like players type, UX, Usability, Engagement, Flow, Narrative, Presence, VR, and personas in line with context, can be combined to understand players need. In academic propose, the evaluation methods are essential to validate our decisions and guide the process. The goal of this paper, is to present a model to support the design of educational game, using VR. This model can be useful for students and researchers, that want to create rich game.
Network information inheritance of traditional and migrant craftsmanship based on the background of big data

Network information inheritance of traditional and migrant craftsmanship based on the background of big data is studied. The data structure has not yet achieved uniformity in scope, and it is still difficult to achieve data integration on one platform; in addition, the increasing business volume makes the development direction of data present a trend of fragmentation, and the user's business model Is also gradually changing. To face with this challenge, this paper studies the novel data structure for the efficient analysis. We apply the model on the scenario of the traditional and migrant craftsmanship, the test results reflect that the model is efficient.
Will machines ever think like humans?

What is "human intelligence?" What is thinking? What does it mean to "think like a human?" Is it possible for machines to display human intelligence, to think like humans? This article explores these questions, and gives a brief overview of some important features of the human brain, and how computer scientists are trying to simulate those features and their ability to "think." The article answers some questions, but asks more---finishing with questions for readers to consider.
CreaMe: human augmentation platform for the creation of training in educational lakes inherent to dangerous situations

Human Augmentation is a field of science that seeks to improve human capabilities and productivity through the application of technologies. The prevention of occupational risks is one of the areas where such technologies may make a valuable contribution. In this paper, we introduce CreaMe, a platform with the ability to create immersive virtual experiences. The objective is to create training content quickly and at a low cost by employing human augmentation technologies to transfer theoretical principles into real work. Data from the pilot experience are also presented. We collected over 280 minutes of virtual experiences by using CreaMe in 3 different training lessons. Following the pilot experience, we analysed variables on the evolution of knowledge about occupational risks, improvement of general user knowledge, user satisfaction with the new virtual experience, and the user's ability to use the virtual environment. We can point out that 83.18% of users successfully completed tasks, and 92.13% of users rated post-experience satisfaction very positively. Also, CreaMe was deemed a tool that can contribute to the prevention of occupational risks and, therefore, to workers' wellbeing, health, and productivity in any industry. The development of CreaMe will also allow for the application of human augmentation in the prevention of occupational risks from any work that may pose a hazard to the worker.
A Distributed Computing Perspective of Unconditionally Secure Information Transmission in Russian Cards Problems

The problem of A privately transmitting information to B by a public announcement overheard by an eavesdropper C is considered. To do so by a deterministic protocol, the inputs of the players must be correlated. Dependent inputs are traditionally represented using a deck of cards. There is a publicly known signature $$(\mathbf {a},\mathbf {b},\mathbf {c})$$ , where $${n}=\mathbf {a}+\mathbf {b}+\mathbf {c}+\mathbf {r}$$ , and A gets $$\mathbf {a}$$ cards, B gets $$\mathbf {b}$$ cards, and C gets $$\mathbf {c}$$ cards, out of the deck of $${n}$$ cards. Using a deterministic protocol, A decides its announcement based on her hand. Using techniques from coding theory, Johnson graphs, and additive number theory, a novel perspective inspired by distributed computing theory is provided, to analyze the amount of information that A needs to send, while preventing C from learning a single card of her hand. In one extreme, the generalized Russian cards problem, B wants to learn all of A's cards, and in the other, B wishes to learn something about A's hand.
Using Emoji Stickers to Understand End-User Opinions of the Dapivirine Vaginal Ring for HIV Prevention

Globally, HIV affects women disproportionally to men, particularly in sub-Saharan Africa. While the monthly dapivirine vaginal ring (VR) is a promising female-initiated HIV prevention method, it is important to understand how well the ring is liked. With former participants of HOPE, an open-label extension trial of the ring, we used emoji stickers and a worksheet to explore female end-user's acceptability of and opinions about the VR. We aimed to understand these participants' opinions about the VR, and how they had changed over time, particularly in the context of known efficacy of the dapivirine VR. Most participants easily understood the exercise and how to use the emoji stickers, with a few exceptions. For those who had trouble understanding how to use the emoji, interviewer support and encouragement helped them to understand and continue with the exercise. Emoji interpretation varied widely with participants using the same emoji to express divergent opinions. Using the emoji stickers, participants expressed mostly positive opinions of the vaginal ring for HIV prevention, with some lingering concerns about the product's partial effectiveness. This paper contributes to the literature supporting the assertion that the dapivirine VR for HIV prevention is acceptable to women, and that acceptability increases with time and proper education. This analysis also provides evidence that emoji visual tools can enhance understanding of acceptability of an intervention when used in qualitative research.
Variational Densification and Refinement of Registration Maps

Local patch-based algorithms for image registration fail to accurately match points in areas not discriminative enough, mainly textureless regions. These methods normally involve a validation process and provide a non-completely dense solution. In this paper, we propose a novel refinement and completion approach for registration. The proposed model combines single image nonlocal densification with classical variational image registration. We associate a total variation regularization with a nonlocal term to provide a smooth solution leveraging the image geometry. We show experiments on public stereo and optical flow datasets to filter and densify incomplete depth maps and motion fields. Extensive comparisons against existing and state-of-the-art depth/motion fields densification approaches demonstrate the competitive performance of the introduced method. Additionally, we illustrate how our method can deal with other tasks, such as filtering and interpolation of depth maps from RGBD data and depth upsampling.
2D Cosine-coupling-Logistic and Sine map for image encryption

In recent years, chaotic cryptography has greatly promoted the development of image encryption technology, but some chaotic-based digital image encryption systems have some flaws. In order to enhance the security and reliability of digital images in network transmission, this paper presents a new two-dimensional chaotic map (2D-CCLS), which is derived from Logistic and Sine map, and then applied in a chaotic image encryption algorithm to scramble, rotate and diffuse the pixels of the image. Theoretical analysis and simulation experiment results show that the algorithm has good performance such as large key space, strong anti-noise attack capability, strong key sensitivity and high security.
Feature weighted dual random sampling cluster Ensemble

Cluster ensemble combines multiple partitions of a set of objects into a stable and robust one. To obtain good ensemble performance, base clusterings are required to take into account quality and diversity. Recently, in spite of some researches focus on consensus function to prove ensemble quality, how to produce high-diversity and high-quality base clusterings at general step without global screening remains an open problem. For high-dimensional data, the clustering algorithm suitable for common data sets is extremely inefficient and there is basically no cluster in high-dimensional space. To get around this conundrum, subspace cluster ensemble was proposed. At present, although the random subspace cluster methods show good diversity, the quality of base clustering remains to be improved. This paper proposes an improved algorithm of dual random subspace cluster ensemble methods to ensure the high diversity of the base clustering while improving the quality at general step without global feature screening. Our method reduces the irrelevant, uninformative features of the class structure at the generation step of random subspace, making the class structure more obvious. The experiment demonstrates the effectiveness of our method.
Web application for design and development of environmental information systems in supply distribution

The Unitary State of the Republic of Indonesia is an archipelagic country most of which is in the form of water. In maintaining the security and integrity of the Unitary State of the Republic of Indonesia, several Navy bases were built which spread from Sabang to Merauke. In terms of meeting the needs of military supplies for soldiers throughout the territory of Indonesia, an Information System for monitoring the distribution of military supplies is needed that is transparent, timely, on target so that any military supplies distributed can be received by each soldier under their respective rights. So far, there is no information system in the process of distributing military supplies, so it is very difficult to monitor the distribution of military supplies, so there are often delays and even wrong deliveries. This study aims to design an information system that can monitor the distribution of military supplies from the top units to the lowest units throughout Indonesia to reduce errors that are still happening in the field in terms of the distribution of military supplies using the Unified Modeling Language (Unified Modeling Language) method. UML) such as Use Case Diagrams, Class Diagrams, and Activity Diagrams. The result of this research is to be able to create an Information System that is under functional and non-functional needs that can handle the problems that have existed so far in terms of monitoring the distribution of military supplies so that there are no delays in the distribution of military supplies.
Research and Application of LDA Model in Movies Images Based on the Visual Effects of Computer Images

Abstract With the advent of the image age, the popularity of war-themed film and television dramas in the new century has promoted a new wave of thematic narratives. Facing the era of computer graphics, the main theme narrative adopts a series of new reconstruction strategies, namely: the spectacle strategy of visual expression, the typification strategy of narrative subjects, and the striation strategy of character modelling. As an important genre of Chinese movies, war-themed themed movies often focus on the education and dissemination of national ideology, but “The Eight Hundred” broke the stereotype of this type of movie to the audience. Taking the film “The Eight Hundred” as an example, using the LDA model of computer image characteristics, combined with the related theories of visual effects, the thesis explores how the main theme of contemporary warfare movie content is expressed through images and its unique image style.
Collective Argumentation: The Case of Aggregating Support-Relations of Bipolar Argumentation Frameworks

In many real-life situations that involve exchanges of arguments, individuals may differ on their assessment of which supports between the arguments are in fact justified, i.e., they put forward different support-relations. When confronted with such situations, we may wish to aggregate individuals' argumentation views on support-relations into a collective view, which is acceptable to the group. In this paper, we assume that under bipolar argumentation frameworks, individuals are equipped with a set of arguments and a set of attacks between arguments, but with possibly different support-relations. Using the methodology in social choice theory, we analyze what semantic properties of bipolar argumentation frameworks can be preserved by aggregation rules during the aggregation of support-relations.
Transformation Digital Competence Area in the Competence Model of Project Managers

The competency-based approach to project management in world practice and theory has long been universally recognised. The most famous models in this area are the models of the Project Management Institute (PMI) PMCDF 3.0 and the International Project Management Association (IPMA) ICB 4.0. After a deeper acquaintance with the elements of each of the presented models, there is a desire to combine them completely, which suggests that the ≪integrated competency model≫ in this case most likely guaranteed the holder of such competencies the ability to comply with ISO 21500. On the other hand, now they are increasingly talking about the need for the so-called ≪T-shaped professionals≫. This approach was used by both PMI and IPMA to differentiate their standards, but in the context of differences in requirements in the logic of ≪portfolioprogram-project≫. This approach also was present in the logic of the IPMA certification model in terms of the scale of the project (-s) managed by the applicant, which subsequently switched to the logic of programs and project portfolios. The research will contribute to the further development of standards, in relation to: definition of criteria for referring to the ≪digital≫ competencies of the project manager; building a model of ≪digital≫ competencies of the project manager; determine the approach to assessing the ≪digital≫ competencies of the project manager; understand of ways to integrate the model of "digital" competencies and the functionality of the project management information system.
Digital Forensic Investigator for Cloud Computing Environment

Sulthana, Tasleem Pawar, DigambarCloud computing has got a dominant position in the field of computing with its roots in virtualization techniques and its characteristics such as scalability, elasticity, availability and many more. As cloud computing has been adopted by many companies and businesses, security becomes a main challenging aspect. Though cloud computing comes with secured deployment models, criminals still find a way to break it and commit crimes; therefore, cloud computing must always be ready to support the forensics investigation to deal with such security issues and the acts of criminals. Cloud forensics is a field in cyber forensics domain using which investigators can collect the digital evidence of a crime which took place in a cloud environment and present the same as a proof of evidence. This paper intends to provide a prototype model with implementation that makes the forensic task easier by collecting, preserving and presenting the data to the investigator by simplifying the task of data collection phase of the forensic investigation.
Biharmonic navigation using radial basis functions

Abstract Path planning has been widely investigated by many researchers and engineers for its extensive applications in the real world. In this paper, a biharmonic radial basis potential function (BRBPF) representation is proposed to construct navigation fields in 2D maps with obstacles, and it therefore can guide and design a path joining given start and goal positions with obstacle avoidance. We construct BRBPF by solving a biharmonic equation associated with distance-related boundary conditions using radial basis functions (RBFs). In this way, invalid gradients calculated by finite difference methods in large size grids can be preventable. Furthermore, paths constructed by BRBPF are smoother than paths constructed by harmonic potential functions and other methods, and plenty of experimental results demonstrate that the proposed method is valid and effective.
PSED: A Dataset for Selecting Emphasis in Presentation Slides

Amirreza Shirani, Giai Tran, Hieu Trinh, Franck Dernoncourt, Nedim Lipka, Jose Echevarria, Thamar Solorio, Paul Asente. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. 2021.
Digital Age: New Competencies and Occupations that Define a Sustainable Development Amidst the Industrial Revolution 4.0

The paper focuses on the challenges of training a new generation of statisticians with the core 21st-century competencies for life, work, and creativity in a digital society amidst the fourth industrial revolution (Industry 4.0). Along with the economic feasibility, the attractiveness of improving the quality of life, and new possibilities for developing the creative potential of human beings, Industry 4.0 freights with risks of destabilization of the world socio-economic system, but also creates a new cultural and historical context of the advancement of the humankind, where the network becomes a new human habitat, when digital technologies penetrate all spheres of human activity. It requires the development of «digital» skills that have never been more important than today. Summarizing the results of digital skills projects, the UNESCO Institute for Statistics developed the «Digital Literacy Global Framework» as a basis for creating national digital literacy frameworks and digital competence models for various occupations. The article substantiates the importance of digital competencies and the feasibility of developing common requirements for digital literacy in the EAEU member-states and establishing a system for its development with a single scientific, educational and methodological center that will at the same time become the core of a new ecosystem of continuous statistical training, designed to correct the situation when it is almost impossible to find a statistician with the necessary competencies in the labor market. One of the reasons for this is that the existing system of statistical education does not meet the needs of the digital age, which requires new approaches to the organization of continuing education. However, the digital agenda implies not only the development of digital competencies, including statistical literacy but also the emergence of new «digital» professions, to which the profession of a statistician can be assigned if it is filled with competencies listed in the paper. This will allow statistics to take its rightful place among the occupations determining sustainable development in the digital age.
Measuring Information Leakage in Non-stochastic Brute-Force Guessing

We propose an operational measure of information leakage in a non-stochastic setting to formalize privacy against a brute-force guessing adversary. We use uncertain variables, non-probabilistic counterparts of random variables, to construct a guessing framework in which an adversary is interested in determining private information based on uncertain reports. We consider brute-force trial-and-error guessing in which an adversary can potentially check all the possibilities of the private information that are compatible with the available outputs to find the actual private realization. The ratio of the worst-case number of guesses for the adversary in the presence of the output and in the absence of it captures the reduction in the adversary’s guessing complexity and is thus used as a measure of private information leakage. We investigate the relationship between the newly-developed measure of information leakage with maximin information and stochastic maximal leakage that are shown to arise in one-shot guessing.
The Importance of Character-Level Information in an Event Detection Model

This paper tackles the task of event detection that aims at identifying and categorizing event mentions in texts. One of the difficulties of this task is the problem of event mentions corresponding to misspelled, custom, or out-of-vocabulary words. To analyze the impact of character-level features, we propose to integrate character embeddings, that can capture morphological and shape information about words, to a convolutional model for event detection. More precisely, we evaluate two strategies for performing such integration and show that a late fusion approach outperforms both an early fusion approach and models integrating character or subword information such as ELMo or BERT.
Digitalization of education and its impact on the teaching of foreign languages to students of technical universities

The scientific article is devoted to the study of the peculiarities of digitalization of education in the framework of teaching foreign languages to students of technical universities. On the basis of the theoretical study of the informative features of the digitalization processes in the field of education, the authors point out the basic components in the system of digital foreign language teaching for students of technical universities. The article also discusses a number of disadvantages and advantages of the social, psychological, organizational and pedagogical nature of this system, reflecting the relevance of the problem of digitalization of training procedures, as well as the absolute transition to distance learning in the current requirements of the development of higher education.
Orthogonal Variable Spreading Factor Codes over Finite Fields

The present paper proposes orthogonal variable spreading factor codes over finite fields for multi-rate communications. The proposed codes have layered structures that combine sequences generated by discrete Fourier transforms over finite fields, and have various code lengths. The design method for the proposed codes and examples of the codes are shown.