Reviewerly/exHarmony huggingface dataset:
Research of Trojan Attack Effect Evaluation Based on FAHP

The available network attack effect evaluation system mainly focuses on DDoS and Worm, but lacking the pertinence to Trojan. Few of the indicators of the Trojan hazard measurement systems are labeled manually, and all are qualitative, which are less objective and comprehensive. Under the circumstances, by analyzing the Trojan's features, a hierarchical indicator system for Trojan is established. The designed indicator values could be qualitative or quantitative, and could be labeled manually or collected systematically. In this paper, a model based on FAHP was proposed to evaluate the Trojan attack effect. Meanwhile, a many-to-one method is proposed to synthesize multi-group weights reasonably. Finally, by comparing the evaluation results of existing evaluation systems, the rationality of the proposed evaluation technology is verified.
Proposal of a Metadata Application Profile for Technical Reports

Technical reports may be elaborated to serve multiple objectives and they constitute important sources of information for researchers and organizations. However their discovery and retrieval may be compromised due to particular characteristics related to the way they are described. A metadata application profile is recognized for providing increased interoperability and semantics between information systems, favouring discovery. In this article we report on the process of developing an application profile for technical reports and present the respective profile. This application profile includes elements from metadata vocabularies already consolidated in the context of scholarly publication and also elements from a specific metadata vocabulary developed within the scope of this work, techrap. The final product of this study are the constraints matrices with 7 classes and 89 properties. The results of this work are useful for metadata librarians and managers of online digital respositories.
Adversarial Deep Learning with Stackelberg Games

Deep networks are vulnerable to adversarial attacks from malicious adversaries. Currently, many adversarial learning algorithms are designed to exploit such vulnerabilities in deep networks. These methods focus on attacking and retraining deep networks with adversarial examples to do either feature manipulation or label manipulation or both. In this paper, we propose a new adversarial learning algorithm for finding adversarial manipulations to deep networks. We formulate adversaries who optimize game-theoretic payoff functions on deep networks doing multi-label classifications. We model the interactions between a classifier and an adversary from a game-theoretic perspective and formulate their strategies into a Stackelberg game associated with a two-player problem. Then we design algorithms to solve for the Nash equilibrium, which is a pair of strategies from which there is no incentive for either the classifier or the adversary to deviate. In designing attack scenarios, the adversary's objective is to deliberately make small changes to test data such that attacked samples are undetected. Our results illustrate that game-theoretic modelling is significantly effective in securing deep learning models against performance vulnerabilities attached by intelligent adversaries.
Virtual Motion Detection Method Using Fuzzy Logic for an Embedded System

This document presents a method that emulates virtual motion detection with non-invasive sensors for actuator control by using fuzzy logic, to determine the position of an object in three-dimensional space, as well as the direction of its movement. The design and analysis of the fuzzy algorithm were performed with MATLAB using fuzzy logic and by the method of implication Mamdani. An algorithm was generated for architecture with two-dimensional meshes of 10 ×10 sensors and actuators, the algorithm allows to modify the number of linguistic variables, however, for the results presented here, five values were considered. The process was divided into two stages, the first one evaluates individually the distance that each sensor detects, and the second one discriminates different detection areas according to the number of sensors activated. Finally, the viability of its possible implementation in an FPGA was suggested, which would carry out the corresponding operations of the algorithm to generate different levels of amplification in the actuators. The results were analyzed employing test cases to generate the corresponding graphs.
Semi-blind Watermarking via Laser Engraving Attacked

An Image Watermarking is used to identify the ownership, with the copyright information hiding inside a digital image. In this paper, a robust and secure digital grey image scheme is proposed by using a modified Non-Negative Matrix Factorization (NMF) algorithm. At the same time, the perceptual quality of watermarked image stays constant. In order to certify the higher robustness of this method, the grey image engrave the Polycarbonate (PC) films by the low-power laser. Our experiments show that our approach is able to detect the semi-blind watermarking of a grey image for the PC films by the video camera, which to certain degrees is invisible to human eyes when using laser engraving.
Information Support of the Interdepartmental Examining Board While Training Sessions on the ISS RS Simulator Complex

The paper shows the structure of formalized information flow of the information display system (IDS) of the monitoring and control panel (M&amp;CP) of the ISS RS Simulation Complex (SC). This information is used by members of the Interdepartmental Examining Board (IDEB) to analyze and assess crew and the M&amp;CP personnel operation in order to manage the complex examining training (CET). The information model of getting required data from the M&amp;CP IDS by the IDEB members was developed to analyze and assess crew operation. The paper gives the content, kind, volume, and placing information outputted on the workplace of the IDEB members.
Design and Implementation of Ancient and Modern Cryptography Program for Documents Security

Encryption technology is to hide information in a cyberspace built using a computer and to prevent third parties from changing it. If a malicious user accesses unauthorized device or application services on the Internet of objects, it may be exposed to various security threats such as data leakage, denial of service, and privacy violation. One way to deal with these security threats is to encrypt and deliver the data generated by a user. Encrypting data must be referred to a technique of changing data using a complicated algorithm so that no one else knows the content except for those with special knowledge. As computers process computations that can be done at a very high speed, current cryptographic techniques are vulnerable to the future computer performance improvements. We designed and implemented a new encryption program that combines ancient and modern cryptography so that the user never knows about data management and transmission. The significance of this paper is that it is the safest method to combine various kinds of encryption methods to secure the weaknesses of the used cryptographic algorithms.
Analysis of the Influence of Per-Second Billing on Virtual Machine Allocation Costs in Public Clouds

For a long time, the common billing time slot used by cloud providers was the hour, but recently they have changed it to one second with a minimum charge of one minute. In this paper, the impact of this change on virtual machine allocation strategies is analyzed. With the minimum one-minute charge, the state-of-the-art allocation strategies are no longer optimal. This paper proposes a new analytic model to obtain the optimal allocation that minimizes the total cost considering this new billing scheme. However, the optimization problem using this model is unmanageable due to its computational complexity. Therefore, other sub-optimal allocations strategies are proposed. The performance of these strategies (in terms of total allocation cost and computational effort) is analyzed in order to assess the influence of the time slot length. Allocation time slots of one hour, one minute and one second are compared. The experimental work is carried out using synthetic workloads based on two real public traces. The study concludes that the time slot of one minute offers the best trade-off between allocation cost and computational effort. The experimentation shows that the proposed strategy can save up to 14 percent over using the time slot of one hour.
ANALYSIS OF THE EXPERIENCE OF THE COUNTRIES OF EASTERN ASIA IN PREPARATION OF FUTURE PRIMARY SCHOOL TEACHERS BY THE IMPLEMENTATION OF DIGITAL TECHNOLOGIES

Digital and cloud-oriented technologies gained extremely powerful traction, Big Data and Web technologies are widely used, artificial intelligence is becoming popular as well as the Internet of things, smartphones and other devices have become an integral part of living in civilized society. Prompt digitalization predetermined the situation when learning is conducted spontaneously and informally. In today's realities educational process has to transform quickly and support gaining digital competence by all the participants. It is essential to follow the rules of secure and effective interaction with digital content, form media culture and media information literacy. To overcome challenges that appear in digital era it is necessary to provide high quality preparation of future teachers, that is why our aim was to research and analyze peculiarities of educational process of higher educational institutions of countries which have got significant gains in the field of creation and dissemination of the most modern IT technologies. The article analyzes the educational process of preparation of future elementary school teachers in East Asian countries, namely: South Korea, Japan, China (describes the levels of preparation in the higher education institution (HEI), specifies the peculiarities of the educational program and lists the educational goals that a future elementary teacher should achieve). It provides information on a study initiated and conducted by theThe Republic of Korean Research Foundation and outlines basic ideas for SMART education in understanding South Korean counterparts. Found out how future primary school teachers inThe Republic of Korea are trained in six core subjects with a combination of digital literacy to be taught in junior high. The vector of Japan's higher education reform is presented, which aims at developing conceptually new approaches to the organization of the educational space with a combination of classical pedagogy and IT, as well as information on the certification features of future and current teachers. The article focuses on educational innovations (interaction between IT and education), outlined by President Xi Jinping. The list of qualities that a Chinese teacher should possess in the 21st century is given.
Comparison analysis between linear and nonlinear models to predict language proficiency in proportion to language learning strategy

An extension to previous studies, the model comparison of all five models whereby the consideration of nonlinear models, specifically Gompertz model and Modified Gompertz model, were fit into the social data of Language Learning Strategies (LLS) as its independent variables and its dependent variable, Language Proficiency. A self-report questionnaire called the Strategy inventory for language learning (SILL) was administered to two hundred and thirty pre-university students of Universiti Malaysia Sabah, and their language proficiency was measured using the Malaysian University English Test (MUET). A comparison analysis was done between the three best linear models and the two nonlinear models using these goodness of fit tests and information criterions; root mean square error (RMSE), mean absolute error (MAE), residual standard error (RSE), corrected Akaike’s information criterion (AICC) and Bayesian Information Criterion (BIC).
Design Automation System for Review Analysis Affiliation for Online Educator Reliability Prediction

In this paper, we designed a review analysis automation system to grasp the credibility of the online education matching platform. Web crawling collects and parses reviews and ratings of educators who are atypical data. We will build an emotional dictionary based on the educational field to grasp online educator credibility using collected review data and SO-PMI. We also propose a method for building large - scale learning data based on the emotion dictionary constructed. We proposed a system that provides more reliable review analysis results by measuring the accuracy of emotion dictionary by using deep learning in constructed learning data and evaluation data. Through this, we intend to help judge the credibility of educator in O2O education matching.
Retail Traffic-Flow Analysis Using a Fast Multi-object Detection and Tracking System

Traffic-flow analysis allows to make critical decisions for retail operation management. Common approaches for traffic-flow analysis make use of hardware-based solutions, which have major drawbacks, such as high deployment and maintenance costs. In this work, we address this issue by proposing a Multiple-Object Tracking (MOT) system, following the tracking-by-detection paradigm, that leverages on an ensemble of detectors, each running every f frames. We further measured the performance of our model in the MOT16 Challenge and applied our algorithm to obtain heatmaps and paths for customers and shopping carts in a retail store from CCTV cameras.
TUTORING AS A FORM OF PEDAGOGICAL SUPPORT OF STUDENTS’ INDIVIDUAL EDUCATIONAL TRAJECTORIES

Purpose: The key provisions on which the tutor relies on the context of his work are the principles underlying open education: transparency; flexibility; continuity; variability; individual approach; individualization.&#x0D; Methodology: The relevance of the study is associated with the processes characteristic of the school system in modern Russia (modernization, optimization, change in the structural foundations), as well as the objective need of society in the search for fundamentally new approaches to the content and construction of the educational process in the educational institution.&#x0D; Result: Tutoring should be considered as a resource of individual evolution of personality, as a form of productive exploitation of open education opportunities for the development of individual educational programs, taking into account the specifics of a particular student. As pedagogical conditions for the implementation of the model of tutor support of the formation of basic school students’ research skills should be considered: innovative educational environment; scientific and methodological provision of tutor support of the process of building basic school students’ research skills; professional skills of the tutor.&#x0D; Applications: This research can be used for universities, teachers, and students.&#x0D; Novelty/Originality: In this research, the model of Tutoring as a Form of Pedagogical Support of Students’ Individual Educational Trajectories is presented in a comprehensive and complete manner.
Feature Reduction Algorithm for Universal Steganalysis

Steganography is the practice of communicating a secret message by hiding it in a cover medium like an image file. Steganalysis is the detection of steganography. There are two kinds of steganalysis approaches: specific steganalysis where the steganalyst has knowledge about the algorithm of steganography used to hide data and universal (blind) steganalysis where he has no idea about the algorithm used to hide data. In this paper, we use an image as support for steganalysis. In the case of blind steganalysis, a lot of features are extracted from the image to train a classifier. The great number of features makes computation very difficult and, by the way, prevents the implementation of certain supervised learning algorithms to build models for universal steganalysis. In this work, we propose a universal steganalysis method based on a new way of selecting the most relevant features to train a classifier. This algorithm consists of choosing the best set of features, generated by PFA (Principal Feature Analysis) for unsupervised learning [6], which makes it possible to obtain the best result for k-means with two classes $$ (k \leftarrow 2) $$. After finding the best set of features we use it to train a model for binary classification (cover vs stego). This approach gave good results in our experiments and open a new way of doing universal steganalysis without expensive computation resources.
THE USE OF SIMULATION METHODS OF VOCATIONAL EDUCATION

Purpose: A teacher of a vocational school should rationally use such teaching methods that would ensure the training of qualified personnel competitive in the labor market.&#x0D; Methodology: Educational institutions to meet the requirements of the market economy in the provision of educational services should be guided by a generalized model of a competitive specialist. The technology of development of the model includes the formation of components of professional activity (analysis of professional activity, identification of basic labor functions and professional skills) and training.&#x0D; Result: The assessment of theoretical professional training of students was carried out by testing with the use of PC in the main academic disciplines in two specialties. The assessment of theoretical professional training of students was based on the methodology proposed by A. A. Leonovich. Based on the assessment of knowledge in the five main academic disciplines, a generalized coefficient of theoretical training was calculated. Personal and business qualities necessary for a modern person in the conditions of market relations were evaluated by a number of psychological tests.&#x0D; Applications: This research can be used for universities, teachers, and students.&#x0D; Novelty/Originality: In this research, the model of the use of simulation methods of vocational education is presented in a comprehensive and complete manner.
Augmented Reality 3D Cubes Puzzle Bingo Game for the Elderly

The pace of population aging is increasing dramatically over years. Living longer as well as living well is the goal of many people. Studies showed that mobile gaming can enhance the cognitive abilities and psychomotor skills of the elderly at the same time give the elderly sense of enjoyment and reduce the feeling of loneliness. Augmented reality technologies have been used to enhance traditional games and the results are positive. An Augmented Reality 3D cubes Puzzle Bingo game (ARPinGo) targeted the elderly was developed in this project by adapting the idea of rubik cubes and the puzzle and bingo board game features. The aim of this project is to gauge the response of the elderly towards the game and their acceptance of augmented reality technologies in mobile gaming. A total of 24 elderly members from D'Happy club in Petaling Jaya, Malaysia had participated in this study. A quantitative approach based on the Technology Acceptance Model (TAM) is used in the survey. The outcome of this study would provide valuable input for future development of gaming application for the elderly.
Establishment and research of state model of intelligent vehiclebend system based on kalman filter

Abstract In view of the problems of route selection and driving stability of intelligent vehicle in the process of turning, a state model of intelligent vehicle turning system control based on Kalman filter is proposed. Taking intelligent vehicle as the research object, according to the route of intelligent vehicle passing through a certain bend at uniform speed, the corresponding state transition model of intelligent vehicle’s speed and position is established, and the state model of intelligent vehicle’s bend system is analyzed, and the system state equation of intelligent vehicle in the process of bend movement based on Kalman filter is obtained. According to the state equation of the system, it can effectively monitor the speed, position and trajectory of the intelligent vehicle on the bend. Combining with Kalman filter algorithm, it can effectively reduce the noise of the control process and observation noise. It can be used to achieve more stable and accurate control of the intelligent vehicle in the bend movement.
Feature Selection Based on Graph Structure

Feature selection is an important part of data preprocessing. Selecting effective feature subsets can effectively reduce feature redundancy and reduce irrelevant features, and reduce training costs. Based on the theory of feature clusters, this paper proposes a feature selection strategy based on the graph structure. Considering a feature as a node in the graph, using the idea of graph message propagation, integrating the first-order neighbor information of each node, and then selecting the key point of the local maximum score as the selected feature, this can effectively reduce the feature redundancy and reduce features that are not related to the label. Finally, in order to verify the anti-interference of this novel method, the noise dimension was added in the UCI data set, and the comparison test was again performed. The experimental results show that the proposed algorithm can effectively improve the classification accuracy in a specific data set, and the anti-interference is better than other feature selection algorithms.
로잔운동과 구약에 나타난 성경적 선교론 연구

This Paper aims to study missionary messages of the Old Testament and the Lausanne Movement. Recently, this topic has been mainly discussed by the missiologists such as Christopher Wright and Walter Kaiser, Jr. In order to improve missionary work in a modern complex society, the Korean Church also needs a clear understanding of biblical messages of mission in the Old Testament. The Lausanne Movement stressed the necessity of biblical mission since its beginning in the 1970s. The Lausanne Covenant(1974) confessed the authority and power of the Bible in mission. The Manila Manifesto(1989) proclaimed that we obey God’s word because it is God’s messages. The Cape Town Commitment(2010) encourages us to love the word of God. The Old Testament is considered as a text of missionary work. There are many missionary messages in the Pentateuch, the Prophets and Psalms for modern missionary works.