Reviewerly/exHarmony huggingface dataset:
Defending against Contagious Attacks on a Network with Resource Reallocation

In classic network security games, the defender distributes defending resources to the nodes of the network, and the attacker attacks a node, with the objective to maximize the damage caused. Existing models assume that the attack at node u causes damage only at u. However, in many real-world security scenarios, the attack at a node u spreads to the neighbors of u and can cause damage at multiple nodes, e.g., for the outbreak of a virus. In this paper, we consider the network defending problem against contagious attacks. Existing works that study shared resources assume that the resource allocated to a node can be shared or duplicated between neighboring nodes. However, in real world, sharing resource naturally leads to a decrease in defending power of the source node, especially when defending against contagious attacks. To this end, we study the model in which resources allocated to a node can only be transferred to its neighboring nodes, which we refer to as a reallocation process. We show that this more general model is difficult in two aspects: (1) even for a fixed allocation of resources, we show that computing the optimal reallocation is NP-hard; (2) for the case when reallocation is not allowed, we show that computing the optimal allocation (against contagious attack) is also NP-hard. For positive results, we give a mixed integer linear program formulation for the problem and a bi-criteria approximation algorithm. Our experimental results demonstrate that the allocation and reallocation strategies our algorithm computes perform well in terms of minimizing the damage due to contagious attacks.
Penerapan Rest API untuk Sistem Informasi Film Secara Daring

The number of movie website sites makes users confused which website to visit in order to get information from a movie that is being searched for. Moreover, the information provided is still minimal, making it ineffective in maximizing the use of time. With current technological developments, applications have been successfully created based on websites. Not only can it be enjoyed by PC / Laptop users, users who make smartphones as their main device can also feel comfortable using this application. The application design process is carried out using the JavaScript and CSS programming languages as a form of layout. Later it will be associated with an API that provides data for all types of films called the TMDb API. On this website there are rules and regulations that must be done. Likewise, you are required to register as a member to get an API key, so that access can be used. The method in designing applications uses SDLC which aims to focus on each stage that is carried out.
Special Issue on Application of Electronic Devices on Intelligent System

In a modern technological society, electronic engineering and design innovations are both academic and practical engineering fields that involve systematic technological materialization through scientific principles and engineering designs [...]
Perencanaan Arsitektur Enterprise Menggunakan TOGAF ADM (Studi Kasus: Kantor Desa Lembang)

The Lembang Village Office is a government institution that operates at the Village level in the Bengkayang Regency area. The Lembang Village Government has not implemented an Information System in carrying out its duties, this can be seen from the obstacles faced by the Village government. The obstacles faced are the frequent accumulation of old data, so it is difficult when it will be recorded again, even usually there is data lost so it requires a system that can help data storage. The purpose of this research is to provide directions or directions to be able to implement an information system for data storage. performance in the future, the method used this time is TOGAF (The Open Group Architecture Framework) ADM (Architecture Development Method).This research will produce a blueprint and provide a roadmap using the elements that exist in the togaf at the Lembang Village Office in order to implement an information system on future performance.
The Research on the Regulation Mechanism of Garbage Classification and Recycling Based on the Analysis of Subject Game

At present, the transformation of garbage collection and treatment has been carried out nationwide, so it is imperative to classify garbage collection.There are residents, private enterprises and government departments in the waste recycling process.This paper takes Xi'an city as an example, from the perspective of the participants of garbage classification and recycling, finds that there are "game" dilemmas and many practical problems in the implementation of classification and recycling.Through the analysis of the attitude and role of the "subject" game, a three-party evolutionary game model of garbage classification and recycling supervision is established, and the expected utility of the "subject" is calculated and simulated.Based on the calculation results, the possible behavior strategies of the "subject" are revealed.On the basis of the above, measures and suggestions are put forward to optimize and improve the management system of garbage classification and recycling.
Positioning control of square arrangements of solar panels by solar tracing using fuzzy logic

In this project a fuzzy control system is developed to follow the sun with its respective dynamics. The positioning of the panel must take into account changes in the weather, the disturbances that may occur, the area in which the tracker is located and so on. To do this, the maximum capture point positioning control system is studied using fuzzy logic. Prior to design and implementation, corresponding design criteria were established in instrumentation, mechanical structure, control, communication, and processing for prototype development. By means of the above, the photovoltaic array positioning system is designed, to then carry out the efficient implementation thanks to the calculations and adjustments made. After having the physical structure, we start to develop the positioning control of quadruple arrangements of solar panels with two degrees of freedom per maximum point of capture of solar radiation using fuzzy control, taking into account that the radiation sensors give a reference point. for the setpoint in the control loop and after this, control signals are sent to the selected actuators. Finally, the control system is validated for the positioning of the tracker with the fuzzy control loop implemented; In addition, the system is compared with the strategy implemented before a static system in order to analyze its efficiency. &#x0D; In order for the solar tracking system to show greater efficiency compared to the static system, radiation sensors are implemented that compensate for the influence of climatic disturbances that any solar panel tends to suffer.
An efficient color image encryption scheme based on a matrix scrambling method and a new hybrid chaotic map

Formulae display:?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom.
Sociocultural Factors In The Transformation Of Education In A Modern Technogenic Society

The article attempts to explicate and analyze modern sociocultural circumstances that perform as factors in the transformation of education.The main body of these factors is in one way or another connected with the development of technology and, in the first place, information technology.It is assumed that human being is not limited to the technical register of its existence, therefore inevitably appear such oppositions as human-technic, human-technical, etc.The authors proceed from the fact that education involves the formation of not only professional skills, but also personal, human qualities, general cultural knowledge and their understanding.In a modern technogenic society, the main driver of which is technology, the processes occurring in all social spheres are determined by the logic and dynamics of a technical nature.A request for education is being formed, which is expressed in the need to "produce" such a person who would perform functions in the logic of technical.However, the sphere of human is not limited by the technical aspect.The vector of sociocultural dynamics, which today depends on technology, is focused on the person and it needs.However, it turns out that the requirements of the environment, which was created by man and for man, will reorient it to "improperly human" qualities that should give him social advantages.Thus, we the proper human, humanitarian aspect should be returned to the education.
Bio-VLab: Virtual Laboratory Based on Android Educational Game

Virtual reality has a lot of potentials to be applied in the field of education and learning, known as virtual learning. For some learning activities there is quite a lot of interest in research about virtual learning. However, at present there is little virtual learning in the packaging of a virtual laboratory based on an Android educational game that presents a series of practical activities as a form of verification or confirmation of concepts learned by students. For this reason, this research aims to develop Bio-VLab, a game-based android mobile application, by adopting some of the ADDIE development procedures covering the analysis and design stages. Technical analysis was carried out descriptively qualitatively based on prototypes generated from the design of the development including initial appearance, class choices, list of materials, learning objectives, display of teaching aids, and practical content.
Reflection Of Cultural Peculiarities In Teaching Russian As A Foreign Language

The article is devoted to the issues of including socio-cultural component in teaching Russian as a foreign language.Socio-cultural component is considered as a goal, means and the result of foreign students' motivation to master the Russian language.The purpose of this work is to study the choice of educational aids containing socio -cultural component to create psychological and pedagogical conditions for the development of students' socio-cultural competence.The paper describes the influence of the environment, the role of the teacher and teaching course content aimed at the formation of students' socio-cultural competence, as well as the process of social education of migrants in a foreign cultural environment.The result of the research is to develop a special training course that would optimize the processes that contribute to the effective entry of foreigners studying Russian into a new cultural environment and society.The introduction of the training course on the formation of socio-cultural competence in an educational process has shown that the components of the socio-cultural course in teaching Russian as a foreign language help to increase internal motivation, and therefore become more conscious in language acquisition.Russian as a foreign language should have a special role to play in considering and discussing issues that reveal the peculiarities of the Russian mentality and its lifestyle.That is why the issue of developing and implementing appropriate teaching aids and techniques for the formation of students' socio-cultural competence is so urgent.
An Intelligent Assistant for Problem Behavior Management

We design and implement an intelligent assistant, called PB-Advisor, to advise teachers and parents on students' problem behaviors. It utilizes a task-oriented dialogue system to identify the need deficiency underlying students' problem behaviors, and relies on a community question answering system to provide advice on typical problem behavior management. In addition, it also provides various learning resources, and illustrates the relations between influential factors on typical problem behaviors through data analysis. With PB-Advisor, teachers and parents without psychological expertise can easily find proper advice on students’ problem behaviors.
Minimal State-Space Representation of Convolutional Product Codes

In this paper, we study product convolutional codes described by state-space representations. In particular, we investigate how to derive state-space representations of the product code from the horizontal and vertical convolutional codes. We present a systematic procedure to build such representation with minimal dimension, i.e., reachable and observable.
AligNarr: Aligning Narratives on Movies

High-quality alignment between movie scripts and plot summaries is an asset for learning to summarize stories and to generate dialogues.The alignment task is challenging as scripts and summaries substantially differ in details and abstraction levels as well as in linguistic register.This paper addresses the alignment problem by devising a fully unsupervised approach based on a global optimization model.Experimental results on ten movies show the viability of our method with 76% F1-score and its superiority over a previous baseline.We publish alignments for 914 movies to foster research in this new topic.
A Comparative Study of Automatic Localization Algorithms for Spherical Markers within 3D MRI Data

Localization of features and structures in images is an important task in medical image-processing. Characteristic structures and features are used in diagnostics and surgery planning for spatial adjustments of the volumetric data, including image registration or localization of bone-anchors and fiducials. Since this task is highly recurrent, a fast, reliable and automated approach without human interaction and parameter adjustment is of high interest. In this paper we propose and compare four image processing pipelines, including algorithms for automatic detection and localization of spherical features within 3D MRI data. We developed a convolution based method as well as algorithms based on connected-components labeling and analysis and the circular Hough-transform. A blob detection related approach, analyzing the Hessian determinant, was examined. Furthermore, we introduce a novel spherical MRI-marker design. In combination with the proposed algorithms and pipelines, this allows the detection and spatial localization, including the direction, of fiducials and bone-anchors.
Subject Review:Encryptionof Image in the Android Environment in Various Algorithms

In the vast and still evolving the world of digital transfer, data/image security is one of the most important considerations.One method is to encrypt files.One of the well-known mechanisms for maintaining privacy of pictures to a trustworthy, unrestricted public, the media as a result, this medium is vulnerable to attacks, Encryption algorithms that are effective are a must for data transfer that is stable a variety of techniques.This paper is a study of research authors in the field of image encryption for the Android Environment for different algorithms, with a research review for the period (2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018)(2019)(2020)(2021) to see how the field of image encryption has progressed and the best algorithms in their performance.
Deep Label Fusion: A 3D End-To-End Hybrid Multi-atlas Segmentation and Deep Learning Pipeline

Deep learning (DL) is the state-of-the-art methodology in various medical image segmentation tasks. However, it requires relatively large amounts of manually labeled training data, which may be infeasible to generate in some applications. In addition, DL methods have relatively poor generalizability to out-of-sample data. Multi-atlas segmentation (MAS), on the other hand, has promising performance using limited amounts of training data and good generalizability. A hybrid method that integrates the high accuracy of DL and good generalizability of MAS is highly desired and could play an important role in segmentation problems where manually labeled data is hard to generate. Most of the prior work focuses on improving single components of MAS using DL rather than directly optimizing the final segmentation accuracy via an end-to-end pipeline. Only one study explored this idea in binary segmentation of 2D images, but it remains unknown whether it generalizes well to multi-class 3D segmentation problems. In this study, we propose a 3D end-to-end hybrid pipeline, named deep label fusion (DLF), that takes advantage of the strengths of MAS and DL. Experimental results demonstrate that DLF yields significant improvements over conventional label fusion methods and U-Net, a direct DL approach, in the context of segmenting medial temporal lobe subregions using 3T T1-weighted and T2-weighted MRI. Further, when applied to an unseen similar dataset acquired in 7T, DLF maintains its superior performance, which demonstrates its good generalizability.
Digitalization Of Education In The Context Of Modernization Of Russia

The aim of the study is to actualize the contradiction between the form and content of digital technologies in science and education, which is becoming the problem of modernizing Russia.The main research methods are hermeneutic and axiological, as well as a systems approach.The main results of the study are that when digital technologies are introduced, content elements of the Western world is often introduced into Russian society, which do not correspond to the existing cultural and historical traditions of Russian society.As a result, the proper level of modernization is not ensured and society is in fact, thrown back.The conclusion that the authors come to is that for modernization to be carried out productively, it is necessary, when introducing digital technologies, to fill the forms of the global world as content with a culture that was formed in the course of historical development and rooted in the reality of Russian society.Content of modernization, which is carried out on the basis of digital technologies, should come from an authentic, not a global culture, which is unique in its essence.Culture is the personification of the content of social life, therefore it is she who must fill all social forms.The novelty of the work lies in substantiating the idea that digital technologies should not contradict the socio-cultural characteristics of Russian society, but correspond to them and even take care of their safety
Guitar augmentation for Percussive Fingerstyle: Combining self-reflexive practice and user-centred design

What is the relationship between a musician-designer's auditory imagery for a musical piece, a design idea for an augmented instrument to support the realisation of that piece, and the aspiration to introduce the resulting instrument to a community of likeminded performers?We explore this NIME topic in the context of building the first iteration of an augmented acoustic guitar prototype for percussive fingerstyle guitarists.The first author, himself a percussive fingerstyle player, started the project of an augmented guitar with expectations and assumptions made around his own playing style, and in particular around the arrangement of one song.This input was complemented by the outcome of an interview study, in which percussive guitarists highlighted functional and creative requirements to suit their needs.We ran a pilot study to assess the resulting prototype, involving two other players.We present their feedback on two configurations of the prototype, one equalising the signal of surface sensors and the other based on sample triggering.The equalisation-based setting was better received, however both participants provided useful suggestions to improve the sample-triggering model following their own auditory imagery.
Neural Network Backstepping Controller Design for Fractional-Order Nonlinear Systems

In this work, a backstepping controller design for fractional-order strict feedback systems is investigated and the neural network control method is used. It is noted that in the standard backstepping design, the fractional derivative of the virtual quantity needs to be calculated repeatedly, which will lead to a sharp increase in the number of controller terms with the increase of the system dimension and finally make the control system difficult to bear. To handle the estimation error, certain robust terms in the controller at the last step are designed. The stability of the controlled system is proven strictly. In addition, the proposed controller has a simple form which can be easily implemented. Finally, in order to verify our theoretical method, the control simulation based on a fractional-order chaotic system is implemented.
An empirical study on adult students’ English mobile learning based on frame model

Based on the framework for the rational analysis of mobile education (frame), this study takes 60 adult non English majors from Handan radio and TV University as the research objects, and uses tablet computers or smart phones as mobile devices to conduct the pre-test and post test, Questionnaire and interview were carried out from the aspects of experimental effect and learner satisfaction. The collected data were analyzed by spss24.0 software to track the relationship among society, equipment and learners reflected by the data.
Fusion network for blur discrimination

Blurry image discrimination is a challenging and critical problem in computer vision. It is useful for image restoration, object recognition, and other image applications. In previous studies, researchers proposed a discrimination method based on hand-extracted features or deep learning. However, these methods are either pure data driven by deep learning or over-simplified assumptions on prior knowledge. As a result, a discrimination method is proposed for distinguishing sharp images and blurry images based on a fusion network. The proposed method can automatically discriminate and detect blur without performing image restoration or blur kernel function estimation. Actually, the blur and the noise are extracted by the improved VGG16 network and texture noise extraction algorithm, respectively. Then the fusion network integrates the advantages of deep learning and hand-extracted features, and achieves ultimate high-accuracy discrimination results. Rigorous experiments performed on own dataset and other popular datasets with a number of blurry images and sharp images, including RealBlur dataset, BSD-B dataset, and GoPro dataset. The results show that the proposed method outperforms with an accuracy of 98% on our own dataset and 94.8% on the other dataset, which satisfies the requirements of the image applications. Similarly, we have compared our method with state-of-the-art methods to show its robustness and generalization ability.
ESRA: Explainable Scientific Research Assistant

We introduce Explainable Scientific Research Assistant (ESRA), a literature discovery platform that augments search results with relevant details and explanations, aiding users in understanding more about their queries and the returned papers beyond existing literature search systems.Enabled by a knowledge graph we extracted from abstracts of 23k papers on the arXiv's cs.CL category, ESRA provides three main features: explanation (for why a paper is returned to the user), list of facts (that are relevant to the query), and graph visualization (drawing connections between the query and each paper with surrounding related entities).The experimental results with humans involved show that ESRA can accelerate the users' search process with paper explanations and helps them better explore the landscape of the topics of interest by exploiting the underlying knowledge graph.