Reviewerly/exHarmony huggingface dataset:
Blockchain Analysis Applied to a Process for the National Public Data System for Ecuador

Were analyzed the implementation of a Blockchain model for the national public data system. The problem is the lack of a data query architecture and administrative procedures. The objective is to perform an analysis of the Blockchain to apply into a process in the National Public Data System for Ecuador. It was applied the deductive method and exploratory research were applied to analyze the information in the reference articles. It turned out the following: Conceptual Model of National Data System, Mixed Architecture and Security Algorithm. It was concluded that the application of a Blockchain system in the national system of public data would benefit public entities and citizens; all participants will have better data security and better efficiency in the procedures requested by citizens and other public entities.
Assessment of National Crime Reporting System: Detailed Analysis of the Mobile Application

Before the release of any application, a source code security audit must be performed. This practice guarantees the detection of any type of programming error leading to security vulnerability or a fallible behavior of the application. For the purpose of this research a static code analysis was conducted for each part of a crime reporting application. The results highlight the different flaws found, classifying the by order of priority in order to provide recommendations that help the developers on solving the issues. This security audit deals with a mobile application that provides citizens with a secure but quick and easy way to report illegal or suspicious events around them by sending a message and multimedia data to the authorities.
A New Theoretical Platform of Personality Development in the System of Higher Education

The article discusses the main factors of personal development and the dynamics of their role in the modern world. It is shown that an organized system of education, a teacher, is no longer a priority source of personal development: such a source is the electronic media that are today having a mostly negative impact on personal development. The paper considers the prognosis of the new trends in personality development: decentralization of the universities functioning; identification as the main source of personal development via electronic information sources; development, active use of educational films and video courses, the formation of positive stereotypes of mental activity in the individual. It is substantiated that the answer to the question of what and how to teach in a higher education institution autonomously is impossible, without analyzing the role of various sources of personality development and, in particular, a detailed philosophical, sociological, and psychological analysis of the role of modern electronic means for the formation of personality.
Using Laplacian spectrum to analyse the comorbidities network of hemorrhagic stroke

We analyze a database containing medical data of patients who suffered hemorrhagic stroke. From the original database we built the corresponding comorbidities network, and we analyzed this network using a graph theoretical approach. Our main tool was to analyze the spectrum of the normalized Laplacian matrix of the network.
Artificial Intelligence Based Game Levelling

The game development process is becoming a more detailed structure every day. The applications of artificial intelligence (AI), which is a comprehensive information technology, have been closely related to game technologies. In this study, the levelling process of a 2-dimensional (2D) platform game was investigated. The game developed and called “Renga” has a basic gameplay. Game data has been processed through an artificial neural network (ANN), k-nearest neighbour, decision and random tree algorithms and deep learning model that is trained with gameplay and user information. The classification process with the output data provides results for the next game level. In this way, the most effective playability impression that the developers offer to the game users has been created according to game. Furthermore, the variety of difficulty calculated with dynamic data by the user is provided by Renga, in which new sections/levels are created with user-specific assets. Thus, the most efficient gaming experience has been transferred to the users.
From “Hearing Hearing 2, Or: Thinking without Words” (Heinz Von Foerster Lecture ’19)

Previous articleNext article No AccessFrom “Hearing Hearing 2, Or: Thinking without Words” (Heinz Von Foerster Lecture ’19)Peter AblingerPeter Ablinger Search for more articles by this author PDFPDF PLUSFull Text Add to favoritesDownload CitationTrack CitationsPermissionsReprints Share onFacebookTwitterLinkedInRedditEmail SectionsMoreDetailsFiguresReferencesCited by Portable Gray Volume 3, Number 1Spring 2020 Published for the Gray Center for Arts and Inquiry Article DOIhttps://doi.org/10.1086/709717 Views: 21Total views on this site © 2020 by Peter Ablinger and The University of Chicago. All rights reserved.PDF download Crossref reports no articles citing this article.
Feature Guided Path Redirection for VR Navigation

Path redirection for virtual reality (VR) navigation allows the user to explore a large virtual environment (VE) while the VR application is hosted in a limited physical space. Static mapping redirection methods deform the virtual scene to fit the physical space. The challenge is to deform the virtual scene in a reasonable way, making the distortions friendly to the user’s visual perception. In this paper we propose a feature-guided path redirection method that finds and takes into account the visual features of 3D virtual scenes. In a first offline step, a collection of view-independent and view-dependent visual features of the VE are extracted and stored in a visual feature map. Then, in a second offline step, the navigation path is deformed to fit in the confines of the available physical space through a mass-spring system optimization, according to distortion sensitive factors derived from the visual feature map. Finally, a novel detail preserving rendering algorithm is employed to preserve the original visual detail as the user navigates the VE on the redirected path. We tested our method on several scenes, where our method showed a reduced VE 3D mesh distortion, when compared to the path redirection methods without feature guidance.
Association Rules Mining in Parallel Conditional Tree

With the explosive growth of information technology in recent years, the mining efficiency of association rules has become a very serious problem. The Parallel Multi-Swarm PSO Frequent Patten (PMSPF) algorithm creatively combines the Particle Swarm Optimization (PSO) algorithm with the Frequent Pattern-Growth (FP-Growth) algorithm to greatly improve the mining efficiency of association rules. However, under the computing environment of the Spark cluster, the calculation load is not balanced. Therefore, large amount of data may lead to problems like memory overflow. In this paper, Parallel Conditional Frequent Pattern Tree algorithm (PCFP) is proposed on the basis of PMSPF. First of all, through data grouping, the problem of too large a data volume to construct FP-Tree is solved. Then, through parallel strategy of the condition tree, parallel computing is implemented. The experimental results show that although PCFP algorithm generates certain data redundancy in the process of data grouping, the efficiency of the algorithm is significantly higher than that of the PMSPF algorithm and traditional Parallel Frequent Pattern (PFP) algorithm.
Generation of matter threefold star state by dynamical transfer from photonic counterpart

In this paper, the dynamics of a system composed by an assembly of two-level atoms coupled to a single-mode cavity is theoretically studied considering the Tavis-Cummings Hamiltonian. Motivated by recent experimental results in non-linear phenomena on squeezed-like states, we have found that a threefold star state for the whole set of emitters can be dynamically generated from the analogue photonic state; beyond this, we numerically demonstrate, that this transfer of star-like states critically depends with the number of emitters. Quantum statistical properties of the system are obtained by computing the second-order correlation function, the linear entropy and the Wigner function for the reduced density matrices between radiation and collective matter components.
Research on network and information security in Colleges and Universities

With the advancement and development of information technology in Colleges and universities, campus network plays a more and more important role in Colleges and universities, and gradually becomes an important infrastructure for teaching, scientific research, management, and foreign exchange and cooperation. However, how to ensure the campus network security has become the most important problem in the construction and development of university informatization. In view of the problems existing in the current campus network and information security, this paper makes an in-depth discussion and analysis from the aspects of network technology means and security prevention strategies, and puts forward the preventive measures and suggestions for the network and information security problems in Colleges and universities.
Usability evaluation of a collaborative design software in the wild

Software evaluation has several forms: it can take place in controlled or naturalistic settings with low or high researcher control. A field study is performed in a naturalistic setting, with no researcher control. The main value of a field study that it provides an understanding of software usage in real life working and organizational context. Understanding the context is especially important in the case of collaborative software. This paper aims to make a contribution by introducing a field study of a collaborative design software. First, related literature about field studies and field studies of collaborative software will be discussed. Then the method will be presented in details. The software evaluation took place in a Hungarian software development company. Two User Interface designers participated in the study. Observation, field notes and an interview constitute the data which was analyzed based on the mechanics of collaboration framework. After the demonstration of the results, the usability of the collaborative design software will be discussed.
A Dynamic Approach for Template and Content Extraction in Websites

Web scraping is a technique used to extract data from websites and it is the pillar of information retrieval in a world wide web that is ever growing. There are two main ways of extracting data from a website: static and dynamic scraping. Static scraping requires input beyond the target website because the user needs to inspect the HTML content of the target and find certain patterns in the templates that are then used to extract data. Static scraping is also very vulnerable to changes in the template of the web page. Dynamic scraping is a very broad topic and it has been tackled from many different angles: tree-based, natural language processing (NLP), computer vision or machine learning techniques. For most websites, the problem can be broken in two big steps: finding the template for the pages we want to extract data from and then removing irrelevant text such as ads, text from controls or JavaScript code.This paper proposes a solution for dynamic scraping that uses AngleSharp for HTML retrieval and involves a slightly modified approach of the graph technique mentioned in for template finding. Once we find a number of pages then several heuristics can be applied for content extraction and noise filtering. Such heuristics can include: text and hyperlink density, but also removing common content between multiple pages (usually text from controls, static JavaScript) and then of final layer of NLP techniques (breaking the content into sentences, tokenization and part-of-speech tagging).
Adjustable Pointer in Virtual Reality for Ergonomic Interaction

In a conventional virtual reality system, the user is provided interaction tools based on the hardware. We propose moving the interaction capability from hard-fixed to the hardware to a virtual one that’s loosely-tied to the spatial reference point of the hardware. In our demonstration, we provide two methods for the user to quickly adjust their pointer to interact with objects in atypical situations without the need of additional buttons.
A Technological Solution for Communication With Deaf Students in the Institutions of Kuwait

The deaf category represents a significant class at the global level, and it is therefore necessary to pay attention to the provision of prominent educational programs and services to help them achieve self-realization and full integration into society. This study seeks to propose a new translation system for deaf students in faculties, universities, and higher institutes in Kuwait. It can help deaf students to obtain better educational services and improve their communications with their hearing students and teachers in the State of Kuwait. Let us call such a system a video relay service (VRS); it can also be adopted in institutions in other parts of the world. The overall research goal is to propose a new translation system that can help students obtain better educational services and improve their communication with their hearing peers and teachers in the State of Kuwait. This chapter proposes a new translation system for deaf students;, a detailed study and methodology of the targeted research has been explained with all its essential elements.
Comparative Analysis of Various Algorithms in ARM

Among the various methods of clustering, hierarchical clustering is advantageous in many aspects. The implication of hierarchical clustering on large volumes of data is difficult as these data are normally unstructured, heterogeneous, in huge volumes, contains various types of noise and volatile. The Mapreduce framework is used to analyze huge volumes of data under parallel and distributed fashion. The efficiency of the algorithm can be improved by two optimization techniques viz. co-occurrence based feature selection and batch updating are used. Hence this paper presents a hierarchical clustering method using enhanced version of mapreduce framework for huge volumes of data. The research is conducted on web access log file containing 512 GB of data. The outcome of the results conducted by the algorithm show that the proposed method outperforms traditional clustering methods in terms of execution time and number of clusters formed.
Procedural Music in Games

This workshop will bring to the audience an introduction to the Chuck audio programming language, to the Unity game engine within a hands-on experience how one can use such technologies to achieve a new level of immersion through procedural generated sounds responding to game events and visual effects. The workshop is intended to a broad audience ranging from programmers to ones with little to no knowledge in the field.
Some arithmetical properties of cyclotomic cosets and their applications

The q-orbits of the permutation μq of 1+rZnr, denoted by (1+rZnr)∕μq, are characterized by using Möbius inversion formula and the Generalized Chinese Remainder Theorem. Then the (−ph)-orbits of the permutation μ−ph of (1+rZnr)∕μq are characterized and enumerated. As applications, the explicit enumeration formulas for constacyclic codes concerned with ph-dualities are obtained, and several classes of ph-LCD MDS constacyclic codes are constructed. These characterizations are generalized to the q-cyclotomic cosets modulo (n1,…,nr) which find applications in studying abelian codes.
Searching for Answers to Hybrid Approaches in Communication and Learning Environments

This examination focuses on hybrid approaches and highlights two in particular: blended learning and the hybrid shift. Blended learning can support online and face-to-face (F2F) students equally by providing similar learning experiences. Incorporating synchronicity is recommended as a way to address the limitations of asynchronous learning resident in the proposed hybrid approach. Synchronicity is connecting two or more people in related educational events at the same time. Another approach, the “hybrid shift,” features faculty design content and structure with a focus on being thoughtful, engaging, and intentional in promoting learning, effective collaboration, critical thinking, and communication skills. George Santayana said, “those who cannot remember the past are condemned to repeat it.” This is relevant in that social media grew, in part, out of a need to overcome communication limitations of geographical distance and time. This examination looks closely at hybrid approaches and offers some answers for educational implications.
Developing a Digital Engagement Strategy for Ghanaian University Libraries

This study represents a framework that digital libraries can leverage to increase usage and visibility. The adopted qualitative research aims to examine a digital engagement strategy for the libraries in the University of Ghana (UG). Data is collected from participants (digital librarians) who are key stakeholders of digital library service provision in the University of Ghana Library System (UGLS). The chapter reveals that digital library services included rare collections, e-journal, e-databases, e-books, microfilms, e-theses, e-newspapers, and e-past questions. Additionally, the research revealed that the digital library service patronage could be enhanced through outreach programmes, open access, exhibitions, social media, and conferences. Digital librarians recommend that to optimize digital library services, literacy programmes/instructions, social media platforms, IT equipment, software, and website must be deployed. In conclusion, a DES helps UGLS foster new relationships, connect with new audiences, and establish new or improved brand identity.
Properties of Haar-Like Four-Point Orthogonal Transforms for Image Processing

We investigated properties of Haar-like four-point orthogonal transforms. We considered several combinations of four subsets taken on the transform in order to observe that the directional characteristics of the transform change depending on the selection. Using these results, we conducted numerical experiments of nonlinear image approximation and image restoration. Results showed that we could achieve better visual and objective quality compared with the conventional Haar transform.
Interpretable Survival Gradient Boosting Models with Bagged Trees Base Learners

In this paper we present a novel survival analysis modeling approach based on gradient boosting using bagged trees as base learners. The resulting models consist of additive components of single variable models and their pairwise interactions, which makes them visually interpretable. We show that our method produces competitive results often having the predictive power higher than full-complexity models. This is achieved while maintaining full interpretability of the model, which makes our method useful in medical applications.
Dicey: A Blockchain Based Decentralized Service Registry

As the rise of the Service Computing, the needs toward service composition are also rising. Service Registry plays an important part in service composition as this component support service registration and service discovery. The current state of service registries, at least the public ones are developed in a centralized manner. This centralization in runtime system management introduces a single point of failure that threat system and data availability. This problem can be solved by running the system in a decentralized environment that doesn’t need a central authority figure. Blockchain complies to this solution, with the ability to process transactions, assurance of data integrity and make blockchain a good choice. Ethereum with its Turing-completeness and versatility is the most prominent choice to develop a decentralized application. With Ethereum, we successfully developed a service registry that supports the requirements for service discovery and registration. However, we found that the scope for developing decentralized applications is very limited, even though we use the Ethereum flagship language, Solidity. Within the limitation, the running system able to fulfill the functional requirements that have been analyzed. But, there’s a need for optimization regarding the system performance on doing the search function. The load test expose that the system trigger timeout while executing the search function for 1000 data entry.
Configurations of Extremal Type II Codes via Harmonic Weight Enumerators

We prove configuration results for extremal Type II codes, analogous to the configuration results of Ozeki and of Kominers for extremal Type II lattices. Specifically, we show that for
Mixed Attention-Aware Network for Person Re-identification

In this paper, we propose a Mixed Attention-Aware Network (MAAN), which consists of a Partial Hard Attention (PHA) and an Attention-aware Feature Fusion Network (AFFN). PHA applies hard attention to the local feature map to eliminate irrelevant background and extract more finegrained human body features under the guidance of pose estimation. AFFN first applies soft attention to the global feature map, and then combines the local and global features with different attention-aware, and finally forms a mixed attention-aware feature to solve the pedestrian pose variations and severe occlusion problems. We perform two experiments on two large open source benchmarks, including Market-1501, CUHK03-NP. These verify our method achieve advanced result.
Multimodal User-Defined inputs for Optical See Through Augmented Reality Environments

Augmented Reality headsets are becoming affordable and accessible; however, there are no standardized inputs or design guidelines available for these devices. It is critical that human-centric interaction techniques are designed for this emerging technology. We present existing research exploring that design space and a road map of future work to further flesh out a user-derived multi-modal interaction set for these devices.
Regression Analysis on Sea Surface Temperature

This paper is aimed to analyze the sea surface temperature over salinity of regions near the North America Pacific Coast. The usage of different regression analysis techniques has been studied and compared to conclude the best method that will apply in our research on ocean water properties and Potential Fishing Zones. We have considered the systematic reciprocal options among the various analysis methods like linear, decision tree, random forest, and SVR. The optimal transition of the training and testing sets is monitored to arrive at the most responsive and reliable solution.