Reviewerly/exHarmony huggingface dataset:
Efficient Visualization System Construction Using Common Data Model

This development of sensing techniques, more and more data can be easily-obtained every day. Visualization system is an effective method to sharing, exploring and analyzing such data. It is necessary for a visualization system to integrates a set of visualization components for multiple kinds of data. The heterogeneous and diverse characteristics makes find a universal data archiving method to provide convenient and fast data access difficult. This paper presents a scalable data structure for constructing visualization systems with client-server architectures. The implementation of the data structure is based on common data model, which organizes data with different spatiotemporal distributions in a consistent way. This greatly facilitates designing and implementing visualization systems. The prototype systems prove that the usability and scalability of the data structure. In general, the visualization systems developed on the structure enables easy and convenient research for professionals and improve the research collaborations among different scientific groups.
Online Saturated Cost Partitioning for Classical Planning

Cost partitioning is a general method for admissibly summing up heuristic estimates for optimal state-space search. Most cost partitioning algorithms can optimize the resulting cost-partitioned heuristic for a specific state. Since computing a new cost-partitioned heuristic for each evaluated state is usually too expensive in practice, the strongest planners based on cost partitioning over abstraction heuristics precompute a set of cost-partitioned heuristics before the search and maximize over their estimates during the search. This makes state evaluations very fast, but since there is no better termination criterion than a time limit, it requires a long precomputation phase, even for the simplest planning tasks. A prototypical example for this is the Scorpion planner which computes saturated cost partitionings over abstraction heuristics offline before the search. Using Scorpion as a case study, we show that by incrementally extending the set of cost-partitioned heuristics online during the search, we drastically speed up the planning process and even often solve more tasks.
Modeling and Configuring UML-based Software Product Lines with SMartyModeling

Variability modeling in UML-based Software Product Lines (SPL) has been carried out mostly using the UML Profiling mechanism. However, there is no UML-based SPL life cycle supporting tool, which takes advantages of UML standard diagrams in a controlled environment exclusively for it. In this scenario, we developed SMartyModeling, which allows SPL modeling on UML models, use of different visualization techniques to SPL/variability information, traceability, and configuration of products. The architecture of SMartyModeling was instantiated based on VMTools-RA, a Reference Architecture for software variability tools. This paper presents the SMartyModeling in an architectural viewpoint, describes its requirements, views, and elements selected from VMTools-RA and the decisions made during the instantiation process. We also present examples of using the environment, modeling an adaptation of the Mobile Media SPL and generating a product. We also discuss lessons learned and performed evaluations.
2020 Annual Report: Attacks on media in Europe must not become a new normal

Launch of the 2020 Annual Report by the partner organisations to the Council of Europe Platform to Promote the Protection of Journalism and Safety of ...
NoBis: A Crowd Monitoring Service Against COVID-19.

This paper presents NoBis, a new service for monitoring the crowding of indoor spaces in the COVID-19 era The name links the concept of “We” to the desire of not having an “Encore” of the first lockdown experienced worldwide in March 2020 NoBis is a REST-based web application which provides tools for allowing “Referents” to manage places to be monitored and, at the same time, for allowing end users to consult in real time the crowding state related to monitored places The entire platform is based on the use of QR codes which users scan each time they enter (Check-in operation) and exit (Check-out operation) from a monitored place NoBis is implemented in JavaScript both for the front end, with the help of libraries such as JQuery, and the back-end, through the use of Node js This choice allowed for a more agile and”lightweight” development, in accordance with the time constraints required by the project During the month of September 2020 a preliminary testing phase took place at the Department of Information Engineering of the University of Padova NoBis represents a valuable tool to monitor crowding in libraries and similar enclosed places accessible to the public Copyright © 2021 for this paper by its authors
Scalable fast-Fourier-transform-based (FFT-based) integrated optical neural network for compact and energy-efficient deep learning

This Conference Presentation, “Scalable fast-Fourier-transform-based (FFT-based) integrated optical neural network for compact and energy-efficient deep learning,” was recorded for the Photonics West 2021 Digital Forum.
Programming in Natural Language with fuSE: Synthesizing Methods from Spoken Utterances Using Deep Natural Language Understanding.

The key to effortless end-user programming is natural language. We examine how to teach intelligent systems new functions, expressed in natural language. As a first step, we collected 3168 samples of teaching efforts in plain English. Then we built fuSE, a novel system that translates English function descriptions into code. Our approach is three-tiered and each task is evaluated separately. We first classify whether an intent to teach new functionality is present in the utterance (accuracy: 97.7% using BERT). Then we analyze the linguistic structure and construct a semantic model (accuracy: 97.6% using a BiLSTM). Finally, we synthesize the signature of the method, map the intermediate steps (instructions in the method body) to API calls and inject control structures (F1: 67.0% with information retrieval and knowledge-based methods). In an end-to-end evaluation on an unseen dataset fuSE synthesized 84.6% of the method signatures and 79.2% of the API calls correctly.
Network Scan Failure and Delay Estimation of IoT Wireless Equipment using Scenario Detection Technique

This paper proposes a method of identifying the scan response state based on a similarity measure between scan response preliminary obtained in various network states and an unknown scan response data in order to estimate the cause of network scan failure/delay which is necessary in detecting compromised IoT wireless devices. Existing methods for measuring similarity between two vectors fail to find similarity between two scan response data where the distribution, dimension, or magnitude of such scan response data differs, therefore, a method that can clearly measure the similarity between scan responses data is required. In particular, a similarity measure based on the average absolute deviation with a baseline scheme that can be utilized for easy identification of the network scan response scenario is proposed. Thereafter, the estimation of cause of scan failure/delay is presented. The goal of our proposed method is to detect early the state of the target (scanned) network, in order to accurately estimate the cause of scan failure/delay from the scan response data. The performance of the proposed method is evaluated using computer simulation. The evaluation results show that the proposed similarity measure achieved high similarity ratio of all unknown scan response samples to correct scenario and outperforms other conventional similarity measure methods. Also, it is confirmed that the cause of scan failure/delay could be estimated with over 90% correct estimation accuracy in various scenarios.
PEDAGOGICAL STIMULATION IN THE STRUCTURE OF A MODERN TEACHER’S PROFESSIONAL COMPETENCE

The article highlights the role and place of pedagogical stimulation in the structure of modern teacher’s professional competence. Professional competence is presented as an integrated professional and personal education, in which a person's internal resources, personal qualities and abilities have been considered as a source and criteria for effective subject activity in the education system. It is noted that each stage of the teacherʼs work necessarily contains a stimulating and motivating element of activity. Based on the analysis of scientific works of leading scientists, experience of progressive teachers, the generalization of theoretical bases of pedagogical stimulation of pupils’ educational activity has been carried out. There have been determined the directions of revealing the problem of pedagogical stimulation of educational and cognitive activity of schoolchildren, such as: theoretical, historical-pedagogical, practical. Specific signs of stimulus as the main category of pedagogical stimulation have been established. The classification of pedagogical stimulation has been given. The essence of stimulation as a social and psychological phenomenon has been revealed. The specifics and factors of the pedagogical stimulation process have been established.The general provisions of the pedagogical stimulation process have been formulated, which help to increase the teachers’ motivation to professional pedagogical activity. These pedagogical conditions of stimulation pupils’ educational and cognitive activity have been allocated: formation of internal motives of educational and cognitive activity; novelty, complexity and practical orientation of the content of educational material; ensuring a sufficient degree of students’ independence in the learning process; organization of interpersonal communication in the primary contact team.
Theoretical and methodological foundations of research activities in social pedagogy

The article considers the scientific foundations of the theory and methodology of research activities in social pedagogy, reveals the methodological levels of research of a particular problem of social pedagogy. This article presents the structure of a scientific research. In comprehending the essence of the methodology of social pedagogy, the need to take into account its objective nature will be justified, since it represents the fundamental basis of its theory, practical and research activities. The successful implementation of research activities is always subjective and depends on the theoretical and practical training of the researcher in the field of social pedagogy
A MULTI-LEVEL BUYER-SELLER WATERMARKING PROTOCOL FOR THE DIGITAL CONTENT IN THECLOUD

The recent rapid growth of cloud computing technology, Number of data owner using cloud services for storage,computation and sharing of the digital content is increasing rapidly. Digital water marking technology has beenextensively used in Digital right management to protect unauthorized distribution of digital media. In this Seller,watermark certification authority (WCA) and Cloud Service Provider (CSP ) work together to embed a digitalwatermark which can uniquely identify the buyer and seller of each sold copy, without allowing seller to learnwatermark or access final copy of digital watermarked content. Digital water marking technology can be usedeffectively if it follows a specific set of protocols. A number of protocols have been proposed to protect ownershipof digital media, however, most of them supports selling product in the first hand market, With the increased uses ofcloud based services and e-commerce there is a need for secondary market solution. In this paper, we designed acloud based protocol which effectively supports selling of digital products up to n‟ level of secondary market, ateach level a new watermark will be inserted, so the quality of digital product will be also get degraded as in the caseof second hand non digital product, thus save original owner financial prospects. Our proposed protocol is based onthe Public key infrastructure and uses asymmetric key cryptography for authenticating communication betweenentities. It addresses the various issues like, tracing pirates, customer right problem, binding problem, anonymityproblem and also support Multi-Level Sells of digital products.
Financial development and income inequality: An empirical analysis on the emerging market economies

In developing countries, achieving high economic growth rates with fair income distribution is one of the economic targets in these countries. The effect of financial development on income inequality is examined and discussed in the literature with many empirical practices in line with these objectives. The purpose of the study is to test the relationship between income inequality and financial development. Cross-sectional dependence, homogeneity, panel co-integration and panel cointegration estimators were used in the study. The findings of the study confirm that financial development has no significant effect on income inequality for the panel group. However, Brazil, Russia, Greece and Turkey to the conclusion that financial development reduces income inequality has been reached. It is concluded that financial development increases income inequality in Bulgaria, Colombia, Croatia, Hungary, Malaysia, Poland and Romania. Considering the role of financial development in terms of national economies, improving income distribution will make financial development more significantly as a driving force of economic growth.
LLS Home: I'm having trouble accessing NELSON: Campus and remote students

A guide to help you through access problems with NELSON (Northampton Electronic Library Search ONline)
Construction of Applied Behavior Analysis Support Learning System AB-ANGELS

In order to provide more appropriate rational consideration, it is important to share information about support points in educational settings. In this paper, we report the support point examination sharing system in the medical education using the mobile terminal, which is constructed as the application behavior analysis support learning system AB-ANGELS (Applied Behavior Analysis Need Gentle Education and Learning System). By using the system, it is possible to easily record the target behavior that occurs suddenly in various places including the home and save it as a short video. When the recording is started by pressing the recording start button on the mobile terminal, the short video is stored in the server by going back a specified time. This makes it possible for a teacher to capture the children's behaviors that usually occur suddenly. And, teachers can clearly describe the children's problem behaviors in electronic educational records using the video recordings of the server even when the memory is unclear. In addition, the support points in the short video can be examined by annotation, and recognition can be shared among supporters.
Analysis and Design of Distribution Systems Information Flow in the Sugar Supply Chain in Indonesia

Today's modern supply chain represents a complex and real-time, organization, resource, activity, information, and data source that is involved in the distribution of products and services ranging from upstream to downstream of the supply chain. In the past 4.0 supply chain technology was not just a linear business function, but as the center of the main process of ecosystems that are in a blind spot chained by value. With information as a foundation in the decision-making process so that information can create integrated and efficiently coordinated supply chains. So that it can show continuity from planning to production, inventory, quality, and price control in each chain. An inefficient distribution that results in mistrust among stakeholders, because it has an impact on the decline and loss of value chain in quality and quantity. Integrity problems from the data collected were found in this study. These findings include the identification of various stakeholders, including farmers, importers to customers, and regulators, as well as their needs, which will be described through the use case, and BPMN. The results obtained are that the main actors (stakeholders) of the system are divided into farmers, importers, processing factories, headquarters, hauling services, and markets (customers) in the distribution of product information flow systems. Suggests tracking and tracing based on real-time data flow of product information coming from each actor in the sugar supply chain that is equipped with an accurate data distribution information support system.
Analisis dan Implementasi Modul Rekomendasi Fasilitas Kesehatan Terdekat pada Sistem Informasi Dhealth

The development of the quality of health of a community cannot be separated from the availability of health facilities. With the development of technological information, administration, and services, making health facilities easier. Mobile application development makes it easier for users, to find information about health facilities and administration will be easier by using a mobile application. The development of mobile applications itself is facilitated by the use of react native, a framework used for the development of mobile applications using javascript. To develop applications on two platforms, namely Android and iOS, it can be done in one work with react native. The application of the development of a search module for the nearest hospital using react native can be done using 2 APIs, namely geolocation and Distance Matrix API.
Time complexity reduction on light-field super-resolution with graph-based regularization

Light field (LF) image is captured by plenoptic cameras which suffers from trade-off between spatial and angular resolutions. Numerous methods have been proposed to enhance the spatial resolution of images captured by LF cameras. Among the state-of-the-art methods, there is an approach to super resolve LF images using the graph-based regularization. However, it has a problem of taking too much time for execution. In this paper, we propose a method to simplify the process in computing graph. The experimental results show that our proposed method can reduce up to 18% of time complexity compared to the original approach while maintaining the image quality of LF images.
INCREASING THE POTENTIAL OF TEACHERS IN DISTANCE LEARNING THROUGH THE DEVELOPMENT OF THE IT – COMMUNITY IN EDUCATION

"The authors consider the need to increase the potential of teachers in distance learning through the development of networking and the creation of an educational IT community. The article provides definitions of the concepts «teacher’s potential for distance learning», «IT-community in education». A study was carried out, during which 343 teachers of schools, colleges and universities were trained on the use of digital educational technologies for distance learning in advanced training course. The content of training is described, including the knowledge necessary for the teacher to organize training during the quarantine period of the COVID19 pandemic: distance learning, learning models, digital educational resources, Web 3.0 services in training, gamification of the educational process, creating, recording video lectures and publishing them, using MOOCs for formal and informal training, webinar services. Review, room creation. Other streaming platforms.). The study focused on the development of the IT community: teachers performed project activities in groups, participated in discussions and meetups, thanks to which they received feedback from colleagues. An input and output questionnaire was conducted, the results of which showed a positive dynamics in the development of the potential of teachers through active participation in the professional IT community. "
Robot Behavior-Based User Authentication for Motion-Controlled Robotic Systems

Motion-controlled robotic systems would become more and more popular in the future since they allow humans to easily control robots to carry out various tasks. However, current authentication methods rely on static credentials, such as passwords, fingerprints, and faces, which are independent of the robot control. Thus, they cannot guarantee that a robot is always under the control of its enrolled user. In this paper, we build a motion-controlled robotic arm system and show that a robotic arm's motion inherits much of its user's behavioral information in interactive control scenarios. Based on that, we propose a novel user authentication approach to verify the robotic arm user. In particular, we log the angle readings of the robotic arm's joints to reconstruct the 3D movement trajectory of its end effector. We then develop a learning-based algorithm to identify the user. Extensive experiments show that our system achieves 95% accuracy to verify users while preventing various impersonation attacks.
Replay Attack Detection Based on Spatial and Spectral Features of Stereo Signal

In this paper, we propose a replay attack detection (RAD) method that uses spatial and spectral features of a stereo signal. To distinguish genuine and replayed utterance, we focus on non-speech segments, in which a human does not emit sound, but a loudspeaker for replay attack might emit some recorded noise or its electromagnetic noise. The generalized cross-correlation (GCC) based spatial features capture this difference. To improve the robustness against the variety of recording environments, we combine the spatial features with spectral features. In particular, we fuse the output scores of GCC-based and spectral feature-based methods. In experiments, we confirm the effectiveness of the combination of spatial and spectral features.
A Smart Personalized Learning Environment Through Social Q&amp;amp;A System

resent smart learning environments fouceses on a personalized Question and Answer systems for data and facts distribution through social networks (SN). Usually, the users are posting and picking questions to answer in the common platform. At present, due to the fast-growing user’s usage of social networks for personalized learning by posting the crowd of questions and unlike to answer by chance. Also, all the users should not encourage to provide answers with low quality and a no waiting time. In this paper, the main focus is to provide a novel smart learning environment through social platform of Q&A systems. Having the smart features like forwarding questions to users according to their cognitive levels with highly proficient and enthusiastic to respond the questions. Towards a personalized interaction system development an effective smart social Q&A system framework is proposed. Which consists of active components like question categorizer along with level of question, user interest analyzer and cognitive levels of users. This is experimented with proposed framework, by conducting complete sample scenario for evaluating personalized Q&A system. The experimental results are ascertained that SN platform can effectively utilize to recover the quality of answers, less waiting time and automated strong user profile base.
An Empirical Study of Activation Functions for Function Approximation Tasks

Activation functions play a major role in determining the learning speed and generalization capability of feed-forward artificial neural networks. In this paper, an empirical comparison of eight activation functions is reported on 12 function approximation problems. The study allows us to assert that the sigmoidal class of activation functions performed much better than the non-sigmoidal class of activation functions. Out of the six non-sigmoidal activation function, one activation function called the sigmoidal-weighted linear unit is identified as outperforming all other non-sigmoidal activation functions.