Reviewerly/exHarmony huggingface dataset:
Multisensor decentralized nonlinear fusion using adaptive cubature information filter

In nonlinear multisensor system, abrupt state changes and unknown variance of measurement noise are very common, which challenges the majority of the previously developed models for precisely known multisensor fusion techniques. In terms of this issue, an adaptive cubature information filter (CIF) is proposed by embedding strong tracking filter (STF) and variational Bayesian (VB) method, and it is extended to multi-sensor fusion under the decentralized fusion framework with feedback. Specifically, the new algorithms use an equivalent description of STF, which avoid the problem of solving Jacobian matrix during determining strong trace fading factor and solve the interdependent problem of combination of STF and VB. Meanwhile, A simple and efficient method for evaluating global fading factor is developed by introducing a parameter variable named fading vector. The analysis shows that compared with the traditional information filter, this filter can effectively reduce the data transmission from the local sensor to the fusion center and decrease the computational burden of the fusion center. Therefore, it can quickly return to the normal error range and has higher estimation accuracy in response to abrupt state changes. Finally, the performance of the developed algorithms is evaluated through a target tracking problem.
Development Of Student Attendance Record In Akademi Komunitas Negeri Putra Sang Fajar Blitar Using Codeigniter Framework

&lt;strong&gt;&lt;em&gt;Attendance record and calculation absent is a key success for the the teaching and learning process in college. The process of recording attendance using manual signatures makes it difficult to record absent data. This data is important to see the level of student discipline in taking lectures and is an early detection to monitor student discipline by giving a warning letter. For this reason, it is necessary to make an application for student attendance recording that can calculation absent and warning letters. This application is based on the web and using PHP programming language, Codeigniter framework and MySQL for database.&lt;/em&gt; &lt;em&gt;Testing this application using blackbox testing and user questionnaires. The results of the black box testing prove that the functionality provided by the application is functioning properly according to planning. Testing with a questionnaire was carried out by distributing to all lecturers and academic staff are 15 respondents, the results of the questionnaire which were divided got a score of 90% of the respondents who chose that this application helped the presence process and the recording of the number of student absences&lt;/em&gt;&lt;/strong&gt;
AES (Advanced Encryption Standard) and RSA (Rivest–Shamir–Adleman) Encryption on Digital Signature Document: A Literature Review

Distributed digital documents, it can utilize cryptographic methods to provide confidentiality, data integrity, authentication and non repudiation services. Watermark in this case serves as authentic proof of ownership of the data or document, and its existence should not damage or change the contents or counter of digital data or digital documents. The RSA and AES encryption methods in digital signatures are appropriate to be taken as a reliable method. But a unique biometric key idea emerged, one of which was used to authenticate users.
Realization of constructivism theory in realities of blended learning environment

Presented is research study on projection and planning of a blended learning model in a field of formal university professional education. The article covers some problems, connected with modern learning methods and tendencies of their development. Blended learning is one of advanced tools of effective educational process, studied by teachers all over the world. The first important item in studying of blended learning is characteristics of its tendencies and theoretical bases to define ways and methods of its implementation. The article gives examples of basic theory searching, and ways and necessary conditions for blended learning environment arranging. According to many scientists, blended learning environment has all opportunities to use principles of constructivism theory, but adding of social contest in education allows ideas of social constructivism to be adopted in blended learning, as its aim is to acquire knowledge through the prism of cooperation and teamwork.
Interaction Design of Safety Tourism Apps

Travel through tourism places is kind of fun activity.However, criminal and safety issues cannot be predicted when and how it is occured.Application (apps) for tourism are spreading out today.Security and safety are becoming factors that preclude to traveling.Both Security and Safety are mentioned as only Safety in this paper.This problem must be addressed, and tourism apps is playing a key-role.In this study, we develop interaction design (IxD) of tourism apps which is accommodating preventive and first-aid.Preventive action by providing safety issues in each tourism place, while first-aid provides early assistance when occuring criminal incident.IxD is designed based on user experience approach.Ten's Nielsen principles are used as guideline, while cognitive walkthrough is used as measurement method.Lombok Island is chosen as case study.It has many potential tourism destination, which are growing rapidly.They have known for their social, natural and cultural tourism.Within this apps, we can inspect criminal vulnerability in each region along with steps may have be taken if experiencing criminal incident.Result reveals features regarding to criminal issues are helpful and easy to be used.However, disadvantage of this research is accessibility to the authorities.
Towards advanced interfaces for citizen curation

The SPICE project builds on the growing trend for museums, rather than providing an authoritative view, to present multiple voices related to their collection and exhibitions. In SPICE, an approach we term citizen curation is proposed as a way of supporting visitors to share their own interpretations of museum objects and reflect on the variety of interpretations contributed by others. In order to capture a wide range of voices, interfaces will be designed specifically to engage minority groups that tend to be under-represented in cultural activities. To achieve this goal, the interface will need to be intuitive, aesthetic and accessible for different audiences. The paper presents the challenges we face and initial proposals for engaging visitors in citizen curation.
Fundamental limitations to key distillation from Gaussian states with Gaussian operations

We establish fundamental upper bounds on the amount of secret key that can be extracted from quantum Gaussian states by using local Gaussian operations, local classical processing, and public communication. For one-way public communication or when two-way public communication is allowed but Alice and Bob first perform destructive local Gaussian measurements, we prove that the key is bounded by the R\'enyi-2 Gaussian entanglement of formation ${E}_{F,2}^{\mathrm{G}}$. The saturation of this inequality for pure Gaussian states provides an operational interpretation of the R\'enyi-2 entropy of entanglement as the secret key rate of pure Gaussian states accessible with Gaussian operations and one-way communication. In the general setting of two-way communication and arbitrary interactive protocols, we argue that $2{E}_{F,2}^{\mathrm{G}}$ still serves as an upper bound on the extractable key. We conjecture that the factor of 2 is spurious, suggesting that ${E}_{F,2}^{\mathrm{G}}$ coincides with the secret key rate of Gaussian states under Gaussian measurements and two-way public communication. We use these results to prove a gap between the secret key rates obtainable with arbitrary versus Gaussian operations. This gap is observed for states produced by sending one half of a two-mode squeezed vacuum through a pure loss channel, in the regime of sufficiently low squeezing or sufficiently high transmissivity. Finally, for a wide class of Gaussian states, including all two-mode states, we prove a recently proposed conjecture on the equality between ${E}_{F,2}^{\mathrm{G}}$ and the Gaussian intrinsic entanglement. The unified entanglement quantifier emerging from such an equality is then endowed with a direct operational interpretation as the value of a quantum teleportation game.
A Short-Patterning of the Texts Attributed to Al Ghazali: A “Twitter Look” at the Problem

This article presents an novel approach inspired by the modern exploration of short texts’ patterning to creations prescribed to the outstanding Islamic jurist, theologian, and mystical thinker Abu Hamid Al Ghazali. We treat the task with the general authorship attribution problematics and employ a Convolutional Neural Network (CNN), intended in combination with a balancing procedure to recognize short, concise templates in manuscripts. The proposed system suggests new attitudes make it possible to investigate medieval Arabic documents from a novel computational perspective. An evaluation of the results on a previously tagged collection of books ascribed to Al Ghazali demonstrates the method’s high reliability in recognizing the source authorship. Evaluations of two famous manuscripts, Mishakat al-Anwa and Tahafut al-Falasifa, questioningly attributed to Al Ghazali or co-authored by him, exhibit a significant difference in their overall stylistic style with one inherently assigned to Al Ghazali. This fact can serve as a substantial formal argument in the long-standing dispute about these manuscripts’ authorship. The proposed methodology suggests a new look on the perusal of medieval documents’ inner structures and possible authorship from the short-patterning and signal processing perspectives.
A Hybridized ELM-Elitism-Based Self-Adaptive Multi-Population Jaya Model for Currency Forecasting

Forecasting currency market plays an important role basically in all aspects of international financial management. Based on the claimed poor performance and less efficiency of the popular forecasting methods, an Extreme Learning Machine (ELM)—elitism-based self-adaptive multi-population Jaya model—is designed with the possibilities of getting maximum prediction accuracy. The model has evaluated by using the exchange rate data of USD to INR and USD to EURO as in most of the countries USD is used as the base currency. The experimented model has explored its prediction ability over six-time horizon, which includes the 6 days between 1 day and 1 month in advance. For a standardized comparison, two broadly accepted prediction models such as standard ELM and Back-Propagation Neural Network (BPNN) has been recommended for this research work. Along with these two standard models, a Jaya optimized technique applying on both ELM and BPNN is also considered for experimentation. The simulated result depicted the outstanding performance of the proposed ELM-elitism-based self-adaptive multi-population Jaya model over ELM, BPNN, ELM-Jaya, and BPNN-Jaya.
Entropy Based Grey Wolf Optimizer

Recently Shannon's Entropy has been incorporated in nature inspired metaheuristics with good results. Depending on the problem, the Grey Wolf Optimization (GWO) algorithm may suffer from premature convergence. Here, an Entropy Grey Wolf Optimization (E-GWO) technique is proposed with the overall aim to improve the original GWO performance. The entropy is used to track the GWO swarm diversity, comparing the distance values between the Alpha in relation to the Beta and Delta wolves. The aim of the E-GWO variant is to improve convergence and prevent stagnation in local optima, since ideally restarting the swarm agents will prevent this from happening. Simulation results are presented showing that E-GWO restarting mechanism can achieve better results than the original GWO algorithm for some benchmark functions.
Model of interaction between libraries and preschool educational institutions in terms of the moral and aesthetic education of preschool children

Nowadays, the role of educational and cultural institutions in the process of early formation of moral and aesthetic qualities of the child is greatly increasing, which becomes an additional incentive to search for new forms of work with preschoolers in children's libraries and cultural institutions. For effective implementation of such interaction, a universal model of interdepartmental interaction was developed on the basis of the project method using Internet platforms and innovative technologies for constant communication with preschoolers and their parents. The model is based on the creation of a unified cultural and educational space using specific and general approaches to the moral and aesthetic education of preschool children. During the verifying stage of the experiment, children aged 3 to 7 years and their parents took part. 4276 preschoolers took part in the experiment implemented on the basis of Internet platforms. To analyse the effectiveness of the developed model, a survey of parents, library staff, and teachers was conducted, as well as a study of the results of the children's creative activity. Analysis of the results of the initial levels presented in table 4 showed that preschoolers are eager to participate in projects, their parents noted that the creative activity has increased, especially in CG at an average and high level from 50.4% to 69.9% and from 7.7% to 18.8%, respectively. In EG, the low and high levels of indicators increased from 7.7% and 50.4% to 11.3% and 69.9%, respectively. The results of control levels show that the quality of moral and aesthetic education of preschool children in the formative experiment is significantly higher. Integrated project data showed an average absolute increase from -55% to 40%. The materials of the article can be useful for implementation in educational and cultural institutions, for further theoretical research and practical development in the field of moral and aesthetic education of preschool children.
Digital Educational Space In The Context Of A New Education Development Model

While many developed countries can exploit traditions and reputation of their educational systems and institutions, emerging markets are catching up with them in the era of digital globalization.New forms of collaboration are required to ensure bootstrapping and accelerate benefits for all subjects.Under globalization, it becomes impossible to track the scale of digital technology coverage in all spheres.The digital environment is determined by a new vector of development, which involves integration into a new automated space based on big data, the Internet of things, cyberphysical systems, virtual and augmented reality, etc. Impacts of digital transformation on the education system are identified and investigated at the national and regional levels.The scientific and technological progress changed the educational environment by developing the Internet as a result of the online education.It should be noted that on the periphery of the digital revolution, the educational environment acts as an object of digitization, a system within which the processes of implementation of new technologies take place, and a subject of the digital revolution.
Physicalizing Virtual Objects with Affordances to Support Tangible Interactions in AR

When interacting with virtual objects, we could discover some problems around us. Digital information has no physical properties, and sense organ(vision, tactile) does not match very well. These have a negative influence on the user’s interactive experience. In this paper, we propose to provide virtual objects with no physical properties with physical affordances to support tangible feedback via mechanical movement. In addition, we developed an interaction prototype system. The system could change the physical supports that are absorbed onto an electromagnet to adapt to the shape of different virtual objects and efficiently provide natural and consistent interactions when putting physical objects onto virtual objects in Augmented Reality (AR) scenarios.
How to design the token reinforcement based on token economy for blockchain model

The reinforcement of the token, which is based on the token economy currently applied in blockchain-based cryptography, plays a critical role in forming the cryptographic-related ecosystem. Therefore, in this paper, it was investigated the reinforcement principle of token supporting the Token economy for blockchain model. In order to create a healthy ecosystem based on the reinforcement system principle, it is necessary to find ways to secure scalability by seeking consensus between the participants and the market economy structure so that it can generate an influx of more participants than seeking to maximize profits of certain people. Desirable behavior is defined as an action required by ecosystem participants that have the property of making the token ecosystem sustainable, and to do so, each individual receives appropriate incentives (rewards) when taking this action, ultimately encouraging voluntary participation and action by all participants in the ecosystem to optimize the interests of both individuals and participants. The expected benefit of this study may contribute to the establishment of various business models based on the principle of the reinforcement system.
Perpustakaan maya sebagai sumber belajar dan penunjang pembelajaran IPS secara daring di era pandemi COVID-19

This article aimed to describe how important the existence of virtual libraries is as a learning resource in online social studies learning, because virtual libraries provide the widest possible access by anyone, anywhere, anytime to dig up various information that can later be used by students, educators, and even. The principal of this study utilized descriptive qualitative research methods. This research was motivated by the emergence of the Covid-19 outbreak which resulted in many changes and technological developments that drove the comprehensive digitization process. The conditions during a pandemic by requiring online learning are the route chosen to keep the education system running. The role of technology is very visible and very impactful in times like this. In addition to the human resources and supporting technology that are prepared, the components in learning must also be prepared to support learning online. One of these components is a virtual library that is easy to use and useful as a learning resource and learning support. In addition, virtual libraries can improve students' abilities in terms of reading so that they can increase knowledge which has an impact on increasing student achievement.
Refining Node Embeddings via Semantic Proximity

There is a variety of available approaches to learn graph node embeddings. One of their common underlying task is the generation of (biased) random walks that are then fed into representation learning techniques. Some techniques generate biased random walks by using structural information. Other approaches, also rely on some form of semantic information. While the former are purely structural, thus not fully considering knowledge available in semantically rich networks, the latter require complex inputs (e.g., metapaths) or only leverage node types that may not be available. The goal of this paper is to overcome these limitations by introducing NESP (Node Embeddings via Semantic Proximity), which features two main components. The first provides four different ways of biasing random walks by leveraging semantic relatedness between predicates. The second component focuses on refining (existing) embeddings by leveraging the notion of semantic proximity. This component iteratively refines an initial set of node embeddings imposing the embeddings of semantic neighboring nodes of a node to lie within a sphere of fixed radius. We discuss an extensive experimental evaluation and comparison with related work.
Disembodied Worlds – Body, Brain and Architecture in the Digital Age: A Conversation with Psychobiologist Vittorio Gallese

Abstract Guest‐Editor Ian Ritchie has a conversation with Vittorio Gallese , Professor of Psychobiology at the University of Parma, Italy, whose research focuses on neurophysiology, cognitive neuroscience, social neuroscience and philosophy of mind. Gallese is one of the discoverers of mirror neurons. Here he describes how they relate to empathy and our understanding of ourselves and others.
The Problem of Goal-Setting

The article substantiates understanding of the goal-setting phenomenon in the living world as an evolutionary consequence of the fundamental physicochemical laws of nature. The living nature, unlike inert nature, exists only in a non-equilibrium state using the energy coming from outside. It is structurally heterogeneous and therefore reacts to external influences in a directed manner. This trinity of its properties (non-equilibrium, heterogeneity, directedness) determines the goal-setting phenomenon. Thus, goal-setting as a cognitive act is a multi-stage finale of directed physical and chemical processes. Examples of such directed processes and actions in the animal kingdom are given. Analysis of the&nbsp;proposed model makes it possible to outline possible ways and difficulties in&nbsp;comparing two phenomena: goal-setting and directedness, determined by the&nbsp;trinity of properties.
Dynamic Traffic Control of Staging Traffic on the Interconnect of the HPC Cluster System

High-performance computing (HPC) cluster systems sometimes adopt a two-layered file system composed of local and global file systems to achieve both capacity and performance in storage. In such a cluster system, the input data of an application needs to be staged from the global storage into the local storage, and the output data needs to be staged from the local storage out to the global storage. This staging operation must be efficiently and quickly performed to gain higher job throughput because an inefficient staging operation prevents waiting job requests from being executed. In particular, in the case of the cluster system with the oversubscribed interconnect shared by the storage and the computing nodes, the inter-node communication and this staging operation traffic collides, which may degrade the job throughput. In this research, we focus on the traffic collision of the inter-node communication and the staging traffic to improve job throughput, targeting the cluster system with the oversubscribed interconnect where these two types of traffic flow. In other words, whether the dynamic control of the traffic flow derived from the staging operation leads to the improvement in the job throughput or not is investigated. For the investigation, we present a traffic collision avoidance method to dynamically configure a set of data paths for each type of the traffic only while the staging operation is conducted. The evaluation in this article shows that the proposed method avoids a traffic collision and accelerates the staging operation by 22.0% on our cluster system. Also, this evaluation indicates the overhead of the application incurred by the proposed method is negligible. Furthermore, 8.7% of the job execution time is reduced by the proposed method.